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ORCID38th AAAI 2024: Vancouver, Canada
- Michael J. Wooldridge, Jennifer G. Dy, Sriraam Natarajan:
Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada. AAAI Press 2024
AAAI Technical Track on Application Domains
- Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang:
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation. 3-11 - Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning. 12-20 - Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri:
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. 21-29 - Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng:
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter. 30-37 - Zhihao Chang, Linzhu Yu, Yanchao Xu, Wentao Hu:
Neural Embeddings for kNN Search in Biological Sequence. 38-45 - Haoyang Chen, Peiyan Sun, Qiyuan Song, Wanyuan Wang, Weiwei Wu, Wencan Zhang, Guanyu Gao, Yan Lyu:
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance. 46-54 - Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang:
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. 55-63 - Yoni Choukroun, Lior Wolf:
Deep Quantum Error Correction. 64-72 - Chaoqun Cui, Caiyan Jia:
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection. 73-81 - Longchao Da, Minquan Gao, Hao Mei, Hua Wei:
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning. 82-90 - Na Fan, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross D. Murch, Qifeng Chen:
Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion. 91-99 - Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang:
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables. 100-108 - Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. 109-117 - Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao:
Adversarial Robust Safeguard for Evading Deep Facial Manipulation. 118-126 - Dongyue Guo, Zheng Zhang, Zhen Yan, Jianwei Zhang, Yi Lin:
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework. 127-134 - Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian:
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. 135-143 - Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun:
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. 144-152 - Seungjun Lee, Taeil Oh:
Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs. 153-161 - Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang:
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting. 162-170 - Yanhong Li, Jack Xu, David C. Anastasiu:
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting. 171-179 - Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang:
The Causal Impact of Credit Lines on Spending Distributions. 180-187 - Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang:
Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation. 188-196 - Minghui Liao, Guojia Wan, Bo Du:
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification. 197-205 - Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng:
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery. 206-213 - Shengheng Liu, Xingkang Li, Zihuan Mao, Peng Liu, Yongming Huang:
Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB. 214-221 - Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon, Eunchong Kim, Ju Young Yang, Taehyun Kim:
MID-FiLD: MIDI Dataset for Fine-Level Dynamics. 222-230 - Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian:
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. 231-239 - Wenkang Su, Jiangqun Ni, Yiyan Sun:
StegaStyleGAN: Towards Generic and Practical Generative Image Steganography. 240-248 - Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu:
Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer. 249-256 - Sally Turutov, Kira Radinsky:
Molecular Optimization Model with Patentability Constraint. 257-264 - Jiquan Wang, Sha Zhao, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan:
Generalizable Sleep Staging via Multi-Level Domain Alignment. 265-273 - Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. 274-282 - Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes:
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. 283-291 - Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng:
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. 292-300 - Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong, Jun Chen, Yu Yang, Boshi Tang, Zhiyong Wu:
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations. 301-309 - Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. 310-319 - Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec:
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. 320-328 - Zhousan Xie, Shikui Tu, Lei Xu:
Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction. 329-337 - Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen:
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation. 338-346 - Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang:
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. 347-355 - Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong:
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. 356-364 - Shuai Yu:
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music. 365-373 - Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye:
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. 374-382 - Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng:
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. 383-391 - Xianghua Zeng, Hao Peng, Angsheng Li:
Adversarial Socialbots Modeling Based on Structural Information Principles. 392-400 - Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang:
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching. 401-409 - Jialu Zhang, Xiaoying Yang, Wentao He, Jianfeng Ren, Qian Zhang, Yitian Zhao, Ruibin Bai, Xiangjian He, Jiang Liu:
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery. 410-418 - Rui-Xiao Zhang, Tianchi Huang:
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms. 419-427 - Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao:
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. 428-436 - Yuqi Zhu, Jia Li, Ge Li, Yunfei Zhao, Jia Li, Zhi Jin, Hong Mei:
Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models. 437-445
AAAI Technical Track on Cognitive Modeling & Cognitive Systems
- Paul M. Bodily, Dan Ventura:
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition. 447-455 - Matteo Bortoletto, Lei Shi, Andreas Bulling:
Neural Reasoning about Agents' Goals, Preferences, and Actions. 456-464 - Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang:
An Empirical Study of CLIP for Text-Based Person Search. 465-473 - Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang:
Social Physics Informed Diffusion Model for Crowd Simulation. 474-482 - Yingjie Chen, Jiarui Zhang, Tao Wang, Yun Liang:
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation. 483-491 - Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu:
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms. 492-502 - Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf:
Imitation of Life: A Search Engine for Biologically Inspired Design. 503-511 - Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng:
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. 512-520 - Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong, Qianwen Luo:
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model. 521-529 - Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-Agent Reasoning. 530-537 - Shu Li, Ruimin Hu, Suhui Li, Liang Liao:
Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain? 538-546 - Sifei Li, Yuxin Zhang, Fan Tang, Chongyang Ma, Weiming Dong, Changsheng Xu:
Music Style Transfer with Time-Varying Inversion of Diffusion Models. 547-555 - Han Lu, Xiahai Zhuang, Qiang Luo:
A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition. 556-564 - Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition. 565-573 - Gehua Ma, He Wang, Jingyuan Zhao, Rui Yan, Huajin Tang:
Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation. 574-582 - Yuanyuan Mao, Xin Lin, Qin Ni, Liang He:
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. 583-591 - Junseok Park, Yoonsung Kim, Hee bin Yoo, Min Whoo Lee, Kibeom Kim, Won-Seok Choi, Minsu Lee, Byoung-Tak Zhang:
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning. 592-600 - Xuerui Qiu, Rui-Jie Zhu, Yuhong Chou, Zhaorui Wang, Liang-Jian Deng, Guoqi Li:
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks. 601-610 - Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang:
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. 611-619 - Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang:
Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling. 620-627 - Yiming Wang, Bin Zhang, Yujiao Tang:
DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction. 628-636 - Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang:
Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera. 637-645 - Yuhang Zhang, Yue Yao, Xuannan Liu, Lixiong Qin, Wenjing Wang, Weihong Deng:
Open-Set Facial Expression Recognition. 646-654 - Feiyu Zhu, Reid G. Simmons:
Bootstrapping Cognitive Agents with a Large Language Model. 655-663 - Yangfu Zhu, Yue Xia, Meiling Li, Tingting Zhang, Bin Wu:
Data Augmented Graph Neural Networks for Personality Detection. 664-672
AAAI Technical Track on Computer Vision I
- Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong:
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models. 674-681 - Seungjun An, Seonghoon Park, Gyeongnyeon Kim, Jeongyeol Baek, Byeongwon Lee, Seungryong Kim:
Context Enhanced Transformer for Single Image Object Detection in Video Data. 682-690 - Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang:
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation. 691-699 - Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin, Ekaterina Shumitskaya, Sergey Lavrushkin, Dmitriy S. Vatolin:
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks. 700-708 - Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. 709-718 - Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren:
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection. 719-728 - Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen:
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation. 729-737 - Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding. 738-746 - Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot:
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency. 747-755 - Qiqi Bao, Zheng Hui, Rui Zhu, Peiran Ren, Xuansong Xie, Wenming Yang:
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction. 756-764 - Xiaoyi Bao, Jie Qin, Siyang Sun, Xingang Wang, Yun Zheng:
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation. 765-773 - Mazal Bethany, Brandon Wherry, Nishant Vishwamitra, Peyman Najafirad:
Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually. 774-782 - Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya, Aniket Bera:
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning. 783-791 - Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu:
DiffSED: Sound Event Detection with Denoising Diffusion. 792-800 - Qi Bi, Shaodi You, Theo Gevers:
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance. 801-809 - Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. 810-818 - Qi Bi, Shaodi You, Theo Gevers:
Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation. 819-827 - Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu:
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation. 828-836 - Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. 837-845 - Alexander Black, Jing Shi, Yifei Fan, Tu Bui, John P. Collomosse:
VIXEN: Visual Text Comparison Network for Image Difference Captioning. 846-854 - Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng:
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression. 855-863 - Pingping Cai, Deja Scott, Xiaoguang Li, Song Wang:
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud. 864-872 - Qing Cai, Mu Li, Dongwei Ren, Jun Lyu, Haiyong Zheng, Junyu Dong, Yee-Hong Yang:
Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution. 873-881 - Qingyuan Cai, Xuecai Hu, Saihui Hou, Li Yao, Yongzhen Huang:
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser. 882-890 - Xiuding Cai, Yaoyao Zhu, Dong Miao, Linjie Fu, Yu Yao:
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation. 891-899 - Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin:
FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation. 900-908 - Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo:
Decoupled Textual Embeddings for Customized Image Generation. 909-917 - Zikui Cai, Zhongpai Gao, Benjamin Planche, Meng Zheng, Terrence Chen, M. Salman Asif, Ziyan Wu:
Disguise without Disruption: Utility-Preserving Face De-identification. 918-926 - Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multimodal Tracking. 927-935 - Qinglong Cao, Zhengqin Xu, Yuntian Chen, Chao Ma, Xiaokang Yang:
Domain-Controlled Prompt Learning. 936-944 - Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu:
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. 945-953 - Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae:
Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model. 954-963 - Kennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin:
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction. 964-971 - Gyusam Chang, Wonseok Roh, Sujin Jang, Dongwook Lee, Daehyun Ji, Gyeongrok Oh, Jinsun Park, Jinkyu Kim, Sangpil Kim:
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection. 972-980 - Qing Chang, Yifei Tong:
A Hybrid Global-Local Perception Network for Lane Detection. 981-989 - Bo-Yu Chen, Wei-Chen Chiu, Yu-Lun Liu:
Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields. 990-1000 - Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. 1001-1009 - Chaofeng Chen, Shangchen Zhou, Liang Liao, Haoning Wu, Wenxiu Sun, Qiong Yan, Weisi Lin:
Iterative Token Evaluation and Refinement for Real-World Super-resolution. 1010-1018 - Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang:
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. 1019-1027 - Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Real3D: The Curious Case of Neural Scene Degeneration. 1028-1036 - Honghao Chen, Xiangwen Kong, Xiangyu Zhang, Xin Zhao, Kaiqi Huang:
DDAE: Towards Deep Dynamic Vision BERT Pretraining. 1037-1045 - Hongming Chen, Xiang Chen, Jiyang Lu, Yufeng Li:
Rethinking Multi-Scale Representations in Deep Deraining Transformer. 1046-1053 - Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie:
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning. 1054-1062 - Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma:
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining. 1063-1071 - Hongyang Chen, Kaisheng Ma:
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation. 1072-1080 - Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng:
Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction. 1081-1090 - Jiafu Chen, Wei Xing, Jiakai Sun, Tianyi Chu, Yiling Huang, Boyan Ji, Lei Zhao, Huaizhong Lin, Haibo Chen, Zhizhong Wang:
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping. 1091-1099 - Jiankang Chen, Tong Zhang, Wei-Shi Zheng, Ruixuan Wang:
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection. 1100-1109 - Junyi Chen, Longteng Guo, Jia Sun, Shuai Shao, Zehuan Yuan, Liang Lin, Dongyu Zhang:
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE. 1110-1119 - Kaitao Chen, Shiliang Sun, Jing Zhao:
CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification. 1120-1128 - Lianggangxu Chen, Youqi Song, Yiqing Cai, Jiale Lu, Yang Li, Yuan Xie, Changbo Wang, Gaoqi He:
Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation. 1129-1137 - Lianggangxu Chen, Youqi Song, Shaohui Lin, Changbo Wang, Gaoqi He:
Kumaraswamy Wavelet for Heterophilic Scene Graph Generation. 1138-1146 - Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng:
ViT-Calibrator: Decision Stream Calibration for Vision Transformer. 1147-1155 - Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr:
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. 1156-1164 - Qi Chen, Dileepa Pitawela, Chongyang Zhao, Gengze Zhou, Hsiang-Ting Chen, Qi Wu:
WebVLN: Vision-and-Language Navigation on Websites. 1165-1173 - Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu:
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing. 1174-1182 - Siran Chen, Yue Ma, Yu Qiao, Yali Wang:
M-BEV: Masked BEV Perception for Robust Autonomous Driving. 1183-1191 - Taiyan Chen, Xianghua Ying, Jinfa Yang, Ruibin Wang, Ruohao Guo, Bowei Xing, Ji Shi:
VPDETR: End-to-End Vanishing Point DEtection TRansformers. 1192-1200 - Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu:
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection. 1201-1209 - Xuanhong Chen, Hang Wang, Jialiang Chen, Kairui Feng, Jinfan Liu, Xiaohang Wang, Weimin Zhang, Bingbing Ni:
Intrinsic Phase-Preserving Networks for Depth Super Resolution. 1210-1218 - Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicoló Savioli, Liqiu Meng:
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. 1219-1227 - Yanzhe Chen, Huasong Zhong, Xiangteng He, Yuxin Peng, Jiahuan Zhou, Lele Cheng:
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval. 1228-1236 - Yiwen Chen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang, Guosheng Lin:
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis. 1237-1244 - Yujun Chen, Xin Tan, Zhizhong Zhang, Yanyun Qu, Yuan Xie:
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation. 1245-1253 - Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan:
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. 1254-1262 - Zhengrui Chen, Liying Lu, Ziyang Yuan, Yiming Zhu, Yu Li, Chun Yuan, Weihong Deng:
Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery. 1263-1271 - Zhongxi Chen, Ke Sun, Xianming Lin:
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models. 1272-1280 - Zhuowei Chen, Shancheng Fang, Wei Liu, Qian He, Mengqi Huang, Zhendong Mao:
DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation. 1281-1289 - Zida Chen, Ziran Zhang, Haoying Li, Menghao Li, Yueting Chen, Qi Li, Huajun Feng, Zhihai Xu, Shiqi Chen:
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network. 1290-1298 - Ri Cheng, Ruian He, Xuhao Jiang, Shili Zhou, Weimin Tan, Bo Yan:
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation. 1299-1307 - Weihao Cheng, Yan-Pei Cao, Ying Shan:
SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images. 1308-1316 - Yean Cheng, Renjie Wan, Shuchen Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi:
Colorizing Monochromatic Radiance Fields. 1317-1325 - Zesen Cheng, Kehan Li, Peng Jin, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Parallel Vertex Diffusion for Unified Visual Grounding. 1326-1334 - Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo:
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. 1335-1343 - Jae-Ho Choi, Ki-Bong Kang, Kyung-Tae Kim:
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement. 1344-1352 - Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen:
MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance. 1353-1361 - Tianyi Chu, Wei Xing, Jiafu Chen, Zhizhong Wang, Jiakai Sun, Lei Zhao, Haibo Chen, Huaizhong Lin:
Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation. 1362-1370 - Marcos V. Conde, Javier Vazquez-Corral, Michael S. Brown, Radu Timofte:
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. 1371-1379 - Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song:
Decoupled Optimisation for Long-Tailed Visual Recognition. 1380-1388 - Xiaofeng Cong, Jie Gui, Junming Hou:
Underwater Organism Color Fine-Tuning via Decomposition and Guidance. 1389-1398 - Mengyao Cui, Zhigang Wang, Dong Wang, Bin Zhao, Xuelong Li:
Color Event Enhanced Single-Exposure HDR Imaging. 1399-1407 - Wenting Cui, Runzhao Yao, Shaoyi Du:
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer. 1408-1416 - Xiaohan Cui, Long Ma, Tengyu Ma, Jinyuan Liu, Xin Fan, Risheng Liu:
Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation. 1417-1425 - Yuning Cui, Wenqi Ren, Alois Knoll:
Omni-Kernel Network for Image Restoration. 1426-1434 - Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada:
Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption. 1435-1444 - Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. 1445-1453 - Songmin Dai, Yifan Wu, Xiaoqiang Li, Xiangyang Xue:
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection. 1454-1462 - Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang:
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation. 1463-1471 - Duolikun Danier, Fan Zhang, David R. Bull:
LDMVFI: Video Frame Interpolation with Latent Diffusion Models. 1472-1480 - Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah:
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision. 1481-1491 - Yongjian Deng, Hao Chen, Youfu Li:
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning. 1492-1500 - Yuxin Deng, Kaining Zhang, Shihua Zhang, Yansheng Li, Jiayi Ma:
ResMatch: Residual Attention Learning for Feature Matching. 1501-1509 - Yuxin Deng, Jiayi Ma:
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning. 1510-1518 - Shanding Diao, Yuan Chen, Yang Zhao, Wei Jia, Zhao Zhang, Ronggang Wang:
Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images. 1519-1527 - Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan:
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning. 1528-1536 - Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang:
Expressive Forecasting of 3D Whole-Body Human Motions. 1537-1545 - Xinlong Ding, Jiansheng Chen, Hongwei Yu, Yu Shang, Yining Qin, Huimin Ma:
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion. 1546-1554 - Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren:
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. 1555-1563 - Wen Dong, Haiyang Mei, Ziqi Wei, Ao Jin, Sen Qiu, Qiang Zhang, Xin Yang:
Exploiting Polarized Material Cues for Robust Car Detection. 1564-1572 - Wenqian Dong, Yang Xu, Jiahui Qu, Shaoxiong Hou:
Learning Multi-Modal Cross-Scale Deformable Transformer Network for Unregistered Hyperspectral Image Super-resolution. 1573-1581 - Yanchen Dong, Ruiqin Xiong, Jing Zhao, Jian Zhang, Xiaopeng Fan, Shuyuan Zhu, Tiejun Huang:
Joint Demosaicing and Denoising for Spike Camera. 1582-1590 - Yi Dong, Yuxi Wang, Ruoxi Fan, Wenqi Ouyang, Zhiqi Shen, Peiran Ren, Xuansong Xie:
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing. 1591-1599 - Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang:
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. 1600-1608 - Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu, Fang-Lue Zhang, Song-Hai Zhang:
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation. 1609-1617 - Chenghu Du, Junyin Wang, Yi Rong, Shuqing Liu, Kai Liu, Shengwu Xiong:
CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On. 1618-1625 - Hang Du, Xuejun Yan, Jingjing Wang, Di Xie, Shiliang Pu:
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning. 1626-1634 - Zhenjiang Du, Jiale Dou, Zhitao Liu, Jiwei Wei, Guan Wang, Ning Xie, Yang Yang:
CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion. 1635-1643 - Xiaoyue Duan, Shuhao Cui, Guoliang Kang, Baochang Zhang, Zhengcong Fei, Mingyuan Fan, Junshi Huang:
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing. 1644-1652 - Yuxuan Duan, Li Niu, Yan Hong, Liqing Zhang:
WeditGAN: Few-Shot Image Generation via Latent Space Relocation. 1653-1661 - Chao Fan, Jingzhe Ma, Dongyang Jin, Chuanfu Shen, Shiqi Yu:
SkeletonGait: Gait Recognition Using Skeleton Maps. 1662-1669 - Yang Fan, Xiangping Wu, Qingcai Chen, Heng Li, Yan Huang, Zhixiang Cai, Qitian Wu:
TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement. 1670-1678 - Yeying Fan, Guangshun Wei, Chen Wang, Shaojie Zhuang, Wenping Wang, Yuanfeng Zhou:
Collaborative Tooth Motion Diffusion Model in Digital Orthodontics. 1679-1687 - Zhaoxin Fan, Longbin Ji, Pengxin Xu, Fan Shen, Kai Chen:
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis. 1688-1697 - Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. 1698-1706 - Qihang Fang, Yafei Song, Keqiang Li, Li Shen, Huaiyu Wu, Gang Xiong, Liefeng Bo:
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior. 1707-1715 - Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-Level Classification Improves Open-Vocabulary Object Detection. 1716-1725 - Shaoheng Fang, Zuhong Liu, Mingyu Wang, Chenxin Xu, Yiqi Zhong, Siheng Chen:
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals. 1726-1734 - Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li:
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language. 1735-1743 - Zhixue Fang, Xinrong Guo, Jingyin Lin, Huisi Wu, Jing Qin:
An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment. 1744-1752 - Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding:
Debiased Novel Category Discovering and Localization. 1753-1760 - Tuo Feng, Ruijie Quan, Xiaohan Wang, Wenguan Wang, Yi Yang:
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds. 1761-1769 - Hui Fu, Zeqing Wang, Ke Gong, Keze Wang, Tianshui Chen, Haojie Li, Haifeng Zeng, Wenxiong Kang:
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. 1770-1777
AAAI Technical Track on Computer Vision II
- Qijun Gan, Wentong Li, Jinwei Ren, Jianke Zhu:
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering. 1779-1787 - Chenxing Gao, Hang Zhou, Junqing Yu, Yuteng Ye, Jiale Cai, Junle Wang, Wei Yang:
Attacking Transformers with Feature Diversity Adversarial Perturbation. 1788-1796 - Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao:
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. 1797-1805 - Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo:
Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. 1806-1814 - Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu:
LAMM: Label Alignment for Multi-Modal Prompt Learning. 1815-1823 - Xiang Gao, Zhengbo Xu, Junhan Zhao, Jiaying Liu:
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. 1824-1832 - Xinyu Gao, Ziyi Yang, Yunlu Zhao, Yuxiang Sun, Xiaogang Jin, Changqing Zou:
A General Implicit Framework for Fast NeRF Composition and Rendering. 1833-1841 - Yan Gao, Haojun Xu, Jie Li, Nannan Wang, Xinbo Gao:
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking. 1842-1850 - Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu:
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. 1851-1859 - Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Enwei Zhang, Ke Li, Jie Yang, Wei Liu, Xing Sun:
SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger. 1860-1868 - Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra:
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions. 1869-1877 - Chengjie Ge, Xueyang Fu, Peng He, Kunyu Wang, Chengzhi Cao, Zheng-Jun Zha:
Neuromorphic Event Signal-Driven Network for Video De-raining. 1878-1886 - Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan:
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. 1887-1895 - Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang:
Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding. 1896-1904 - Mohsen Gholami, Rabab Ward, Z. Jane Wang:
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF. 1905-1913 - Lei Gong, Yu Zhang, Yingqing Xia, Yanyong Zhang, Jianmin Ji:
SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving. 1914-1922 - Dongjun Gu, Jaehyeok Shim, Jaehoon Jang, Changwoo Kang, Kyungdon Joo:
ContactGen: Contact-Guided Interactive 3D Human Generation for Partners. 1923-1931 - Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models. 1932-1940 - Huankang Guan, Rynson W. H. Lau:
SeqRank: Sequential Ranking of Salient Objects. 1941-1949 - Yong Guan, Freddy Lécué, Jiaoyan Chen, Ru Li, Jeff Z. Pan:
Knowledge-Aware Neuron Interpretation for Scene Classification. 1950-1958 - Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. 1959-1967 - Junwen Guo, Guobao Xiao, Shiping Wang, Jun Yu:
Graph Context Transformation Learning for Progressive Correspondence Pruning. 1968-1975 - Shuai Guo, Qiuwen Wang, Yijie Gao, Rong Xie, Li Song:
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views. 1976-1984 - Tianyu Guo, Haowei Wang, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun:
Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation. 1985-1993 - Wei Guo, Yuqi Zhang, De Ma, Qian Zheng:
Learning to Manipulate Artistic Images. 1994-2002 - Wengang Guo, Jiayi Yang, Huilin Yin, Qijun Chen, Wei Ye:
PICNN: A Pathway towards Interpretable Convolutional Neural Networks. 2003-2012 - Vinayak Gupta, Rahul Goel, Dhawal Sirikonda, P. J. Narayanan:
GSN: Generalisable Segmentation in Neural Radiance Field. 2013-2021 - Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu:
AMD: Autoregressive Motion Diffusion. 2022-2030 - Gaoge Han, Shaoli Huang, Mingming Gong, Jinglei Tang:
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback. 2031-2039 - Mengqiao Han, Liyuan Pan, Xiabi Liu:
MA-Net: Rethinking Neural Unit in the Light of Astrocytes. 2040-2048 - Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang:
Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection. 2049-2057 - Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie:
Exploiting the Social-Like Prior in Transformer for Visual Reasoning. 2058-2066 - Dawei Hao, Yuxin Mao, Bowen He, Xiaodong Han, Yuchao Dai, Yiran Zhong:
Improving Audio-Visual Segmentation with Bidirectional Generation. 2067-2075 - Yuze Hao, Jianrong Zhang, Tao Zhuo, Fuan Wen, Hehe Fan:
Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling. 2076-2084 - Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song:
Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation. 2085-2093 - Qibin He:
Prompting Multi-Modal Image Segmentation with Semantic Grouping. 2094-2102 - Ruian He, Shili Zhou, Yuqi Sun, Ri Cheng, Weimin Tan, Bo Yan:
Low-Latency Space-Time Supersampling for Real-Time Rendering. 2103-2111 - Tianyao He, Huabin Liu, Yuxi Li, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin:
Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis. 2112-2120 - Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Frequency-Adaptive Pan-Sharpening with Mixture of Experts. 2121-2129 - Xuanhua He, Tao Hu, Guoli Wang, Zejin Wang, Run Wang, Qian Zhang, Keyu Yan, Ziyi Chen, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou:
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain. 2130-2138 - Nailei Hei, Qianyu Guo, Zihao Wang, Yan Wang, Haofen Wang, Wenqiang Zhang:
A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis. 2139-2147 - Or Hirschorn, Amir Jevnisek, Shai Avidan:
Optimize & Reduce: A Top-Down Approach for Image Vectorization. 2148-2156 - Nhat M. Hoang, Kehong Gong, Chuan Guo, Michael Bi Mi:
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation. 2157-2165 - Meghana Holla, Ismini Lourentzou:
Commonsense for Zero-Shot Natural Language Video Localization. 2166-2174 - James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. 2175-2183 - Chen Hou, Guoqiang Wei, Zhibo Chen:
High-Fidelity Diffusion-Based Image Editing. 2184-2192 - Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shice Liu, Shouhong Ding, Xin Tan, Lizhuang Ma:
Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing. 2193-2201 - Chunyu Hu, Hong Zhang, Chao Liang, Hao Huang:
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification. 2202-2210 - Haoxiang Hu, Cangjun Gao, Yaokun Li, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang:
SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation. 2211-2219 - Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun:
Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images. 2220-2228 - Ke Hu, Tongbo Cao, Yuan Li, Song Chen, Yi Kang:
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving. 2229-2237 - Lianyu Hu, Liqing Gao, Zekang Liu, Chi-Man Pun, Wei Feng:
COMMA: Co-articulated Multi-Modal Learning. 2238-2246 - Vincent Tao Hu, Wei Zhang, Meng Tang, Pascal Mettes, Deli Zhao, Cees Snoek:
Latent Space Editing in Transformer-Based Flow Matching. 2247-2255 - Wenbo Hu, Yifan Xu, Yi Li, Weiyue Li, Zeyuan Chen, Zhuowen Tu:
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions. 2256-2264 - Xiaoming Hu, Zilei Wang:
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning. 2265-2273 - Youbing Hu, Yun Cheng, Anqi Lu, Zhiqiang Cao, Dawei Wei, Jie Liu, Zhijun Li:
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition. 2274-2284 - Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu:
O^2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model. 2285-2293 - Cong Huang, Jiahao Li, Lei Chu, Dong Liu, Yan Lu:
Arbitrary-Scale Video Super-resolution Guided by Dynamic Context. 2294-2302 - Fuxiang Huang, Lei Zhang, Xiaowei Fu, Suqi Song:
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval. 2303-2311 - Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu:
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. 2312-2320 - Haofeng Huang, Wenhan Yang, Lingyu Duan, Jiaying Liu:
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation. 2321-2329 - Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. 2330-2338 - Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu:
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. 2339-2347 - Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li:
UniCell: Universal Cell Nucleus Classification via Prompt Learning. 2348-2356 - Shi-Sheng Huang, Zi-Xin Zou, Yichi Zhang, Yan-Pei Cao, Ying Shan:
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views. 2357-2365 - Shuying Huang, Ge Chen, Yong Yang, Xiaozheng Wang, Chenbin Liang:
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution. 2366-2373 - Wenmin Huang, Weiqi Luo, Jiwu Huang, Xiaochun Cao:
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing. 2374-2381 - Xiaoshui Huang, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, Wanli Ouyang:
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder. 2382-2390 - Xin Huang, Yunfeng Bai, Dong Liang, Feng Tian, Jinyuan Jia:
G2L-CariGAN: Caricature Generation from Global Structure to Local Features. 2391-2399 - Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands. 2400-2408 - Xun Huang, Hai Wu, Xin Li, Xiaoliang Fan, Chenglu Wen, Cheng Wang:
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection. 2409-2416 - Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang:
Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations. 2417-2425 - Yuhao Huang, Sanping Zhou, Junjie Zhang, Jinpeng Dong, Nanning Zheng:
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection. 2426-2435 - Tran Huynh, Dang Nguyen, Tung Pham, Anh Tran:
COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks. 2436-2444 - Junha Hyung, Jaeyo Shin, Jaegul Choo:
MagiCapture: High-Resolution Multi-Concept Portrait Customization. 2445-2453 - Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon, Changha Lee:
Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. 2454-2461 - Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim:
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. 2462-2470 - Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen:
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. 2471-2479 - Chengyou Jia, Minnan Luo, Zhuohang Dang, Guang Dai, Xiaojun Chang, Mengmeng Wang, Jingdong Wang:
SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation. 2480-2488 - Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang:
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training. 2489-2497 - Chenyi Jiang, Haofeng Zhang:
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning. 2498-2506 - Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng:
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. 2507-2515 - Hao Jiang, Yang Yizhang, Yadong Mu:
Transferable Video Moment Localization by Moment-Guided Query Prompting. 2516-2524 - Shijian Jiang, Qi Ye, Rengan Xie, Yuchi Huo, Xiang Li, Yang Zhou, Jiming Chen:
In-Hand 3D Object Reconstruction from a Monocular RGB Video. 2525-2533 - Shiqi Jiang, Ning Li, Chen Shi, Liping Guo, Changbo Wang, Chenhui Li:
AACP: Aesthetics Assessment of Children's Paintings Based on Self-Supervised Learning. 2534-2542 - Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu:
Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection. 2543-2551 - Wenhui Jiang, Yibo Cheng, Linxin Liu, Yuming Fang, Yuxin Peng, Yang Liu:
Comprehensive Visual Grounding for Video Description. 2552-2560 - Xiaohui Jiang, Shuailin Li, Yingfei Liu, Shihao Wang, Fan Jia, Tiancai Wang, Lijin Han, Xiangyu Zhang:
Far3D: Expanding the Horizon for Surround-View 3D Object Detection. 2561-2569 - Xin Jiang, Hao Tang, Junyao Gao, Xiaoyu Du, Shengfeng He, Zechao Li:
Delving into Multimodal Prompting for Fine-Grained Visual Classification. 2570-2578 - Yangbo Jiang, Zhiwei Jiang, Le Han, Zenan Huang, Nenggan Zheng:
MCA: Moment Channel Attention Networks. 2579-2588 - Zhiying Jiang, Xingyuan Li, Jinyuan Liu, Xin Fan, Risheng Liu:
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks. 2589-2597 - Yang Jiao, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning. 2598-2606 - Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen:
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. 2607-2615 - Jianlong Jin, Lei Shen, Ruixin Zhang, Chenglong Zhao, Ge Jin, Jingyun Zhang, Shouhong Ding, Yang Zhao, Wei Jia:
PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation. 2616-2624 - Xin Jin, Kai Liu, Cong Ma, Ruining Yang, Fei Hui, Wei Wu:
SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection. 2625-2633 - Yeying Jin, Wei Ye, Wenhan Yang, Yuan Yuan, Robby T. Tan:
DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity. 2634-2642 - Beibei Jing, Youjia Zhang, Zikai Song, Junqing Yu, Wei Yang:
AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion. 2643-2651 - Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen:
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. 2652-2660 - Linglin Jing, Sheng Xu, Yifan Wang, Yuzhe Zhou, Tao Shen, Zhigang Ji, Hui Fang, Zhen Li, Siqi Sun:
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues. 2661-2669 - Linglin Jing, Ying Xue, Xu Yan, Chaoda Zheng, Dong Wang, Ruimao Zhang, Zhigang Wang, Hui Fang, Bin Zhao, Zhen Li:
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer. 2670-2678 - Won Jo, Geuntaek Lim, Gwangjin Lee, Hyunwoo Kim, Byungsoo Ko, Yukyung Choi:
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression. 2679-2687 - Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian:
Rethinking Robustness of Model Attributions. 2688-2696 - Zhehan Kan, Xueting Hu, Zihan Liao, Ke Yu, Zhihai He:
Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks. 2697-2704 - Minsoo Kang, Minkoo Kang, Suhyun Kim:
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN. 2705-2713 - Seunggu Kang, WonJun Moon, Euiyeon Kim, Jae-Pil Heo:
VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting. 2714-2722 - Xiao Ke, Huanqi Wu, Wenzhong Guo:
StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography. 2723-2731 - Bumsoo Kim, Jinhyung Kim, Yeonsik Jo, Seung Hwan Kim:
Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders. 2732-2740 - Dongseob Kim, Seungho Lee, Junsuk Choe, Hyunjung Shim:
Weakly Supervised Semantic Segmentation for Driving Scenes. 2741-2749 - GeonU Kim, Kim Youwang, Tae-Hyun Oh:
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields. 2750-2758 - Ji-Hoon Kim, Jaehun Kim, Joon Son Chung:
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos. 2759-2767 - Jiyoung Kim, Kyuhong Shim, Insu Lee, Byonghyo Shim:
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization. 2768-2776 - Seoha Kim, Jeongmin Bae, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh:
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos. 2777-2785 - Seongyeop Kim, Hyung-Il Kim, Yong Man Ro:
Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge. 2786-2794 - Sunoh Kim, Jungchan Cho, Joonsang Yu, Youngjoon Yoo, Jin Young Choi:
Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding. 2795-2803 - Florian Kluger, Bodo Rosenhahn:
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus. 2804-2812 - Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou:
Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond. 2813-2821 - Xiaoyu Kong, Yongyong Chen, Feng Zheng, Zhenyu He:
Block Image Compressive Sensing with Local and Global Information Interaction. 2822-2830 - Yogesh Kumar, Saswat Mallick, Anand Mishra, Sowmya Rasipuram, Anutosh Maitra, Roshni R. Ramnani:
QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos. 2831-2839 - Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi:
LaViP: Language-Grounded Visual Prompting. 2840-2848 - Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, Guangneng Hu:
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA. 2849-2857 - Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang:
MatchDet: A Collaborative Framework for Image Matching and Object Detection. 2858-2865 - Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. 2866-2873 - Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran:
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. 2874-2881
AAAI Technical Track on Computer Vision III
- Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, Junmo Kim:
FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection. 2883-2891 - Ingyun Lee, Wooju Lee, Hyun Myung:
Domain Generalization with Vital Phase Augmentation. 2892-2900 - Jae Young Lee, Woonghyun Ka, Jaehyun Choi, Junmo Kim:
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep. 2901-2910 - JongMin Lee, Yohann Cabon, Romain Brégier, Sungjoo Yoo, Jérôme Revaud:
MFOS: Model-Free & One-Shot Object Pose Estimation. 2911-2919 - Minkyu Lee, Jae-Pil Heo:
Noise-Free Optimization in Early Training Steps for Image Super-resolution. 2920-2928 - Seokjun Lee, Seung-Won Jung, Hyunseok Seo:
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile. 2929-2937 - SeokYeong Lee, Junyong Choi, Seungryong Kim, Ig-Jae Kim, Junghyun Cho:
Few-Shot Neural Radiance Fields under Unconstrained Illumination. 2938-2946 - Wooju Lee, Dasol Hong, Hyungtae Lim, Hyun Myung:
Object-Aware Domain Generalization for Object Detection. 2947-2955 - Saebom Leem, Hyunseok Seo:
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention. 2956-2964 - Johannes Lehner, Benedikt Alkin, Andreas Fürst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter:
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. 2965-2973 - Qinqian Lei, Bo Wang, Robby T. Tan:
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI. 2974-2982 - Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li:
Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. 2983-2990 - Matan Levy, Rami Ben-Ari, Nir Darshan, Dani Lischinski:
Data Roaming and Quality Assessment for Composed Image Retrieval. 2991-2999 - Bao Li, Zhenyu Liu, Lizhi Shao, Bensheng Qiu, Hong Bu, Jie Tian:
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images. 3000-3008 - Bin Li, Ye Shi, Qian Yu, Jingya Wang:
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. 3009-3017 - Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. 3018-3027 - Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng:
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception. 3028-3036 - Dongze Li, Kang Zhao, Wei Wang, Bo Peng, Yingya Zhang, Jing Dong, Tieniu Tan:
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis. 3037-3045 - Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. 3046-3054 - Hanxuan Li, Bin Fu, Ruiping Wang, Xilin Chen:
Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition. 3055-3063 - Hao Li, Mengqi Huang, Lei Zhang, Bo Hu, Yi Liu, Zhendong Mao:
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing. 3064-3072 - Haolong Li, Chenghao Du, Ziheng Jiang, Yifan Zhang, Jiawei Ma, Chen Ye:
Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset. 3073-3081 - Hongjie Li, Yao Guo, Xianwei Zheng, Hanjiang Xiong:
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo. 3082-3090 - Huafeng Li, Qingsong Hu, Zhanxuan Hu:
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration. 3091-3099 - Jiafeng Li, Zelin Li, Ying Wen:
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks. 3100-3108 - Jianwu Li, Kaiyue Shi, Guo-Sen Xie, Xiaofeng Liu, Jian Zhang, Tianfei Zhou:
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training. 3109-3117 - Jichang Li, Guanbin Li, Hui Cheng, Zicheng Liao, Yizhou Yu:
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels. 3118-3126 - Jing Li, Junsong Fan, Yuran Yang, Shuqi Mei, Jun Xiao, Zhaoxiang Zhang:
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation. 3127-3135 - Kailin Li, Lixin Yang, Zenan Lin, Jian Xu, Xinyu Zhan, Yifei Zhao, Pengxiang Zhu, Wenxiong Kang, Kejian Wu, Cewu Lu:
FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text. 3136-3144 - Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann:
Panoptic Scene Graph Generation with Semantics-Prototype Learning. 3145-3153 - Ru Li, Jia Liu, Guanghui Liu, Shengping Zhang, Bing Zeng, Shuaicheng Liu:
SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field. 3154-3162 - Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu:
GridFormer: Point-Grid Transformer for Surface Reconstruction. 3163-3171 - Shenshen Li, Chen He, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen:
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval. 3172-3180 - Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. 3181-3189 - Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng:
Long-Tailed Learning as Multi-Objective Optimization. 3190-3198 - Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis:
Temporal-Distributed Backdoor Attack against Video Based Action Recognition. 3199-3207 - Xiang Li, Junbo Yin, Wei Li, Chengzhong Xu, Ruigang Yang, Jianbing Shen:
DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection. 3208-3215 - Xiawei Li, Qingyuan Xu, Jing Zhang, Tianyi Zhang, Qian Yu, Lu Sheng, Dong Xu:
Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation. 3216-3224 - Ximeng Li, Chen Zhang, Wanjuan Su, Wenbing Tao:
IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching. 3225-3233 - Xiutian Li, Siqi Sun, Rui Feng:
Causal Representation Learning via Counterfactual Intervention. 3234-3242 - Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang:
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. 3243-3251 - Yanxi Li, Chengbin Du, Chang Xu:
Harnessing Edge Information for Improved Robustness in Vision Transformers. 3252-3260 - Yiming Li, Peng Zhou, Jun Sun, Yi Xu:
Multi-Region Text-Driven Manipulation of Diffusion Imagery. 3261-3269 - Yuelong Li, Tengfei Xiao, Lei Geng, Jianming Wang:
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation. 3270-3278 - Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni:
FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly. 3279-3287 - Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng:
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. 3288-3296 - Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen:
Sampling-Resilient Multi-Object Tracking. 3297-3305 - Zhangbin Li, Dan Guo, Jinxing Zhou, Jing Zhang, Meng Wang:
Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering. 3306-3314 - Sen Liang, Kai Zhu, Wei Zhai, Zhiheng Liu, Yang Cao:
Hypercorrelation Evolution for Video Class-Incremental Learning. 3315-3323 - Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang:
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. 3324-3332 - Zhaohuai Liang, Changhe Li:
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching. 3333-3341 - Dongping Liao, Xitong Gao, Chengzhong Xu:
Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization. 3342-3350 - Guibiao Liao, Jiankun Li, Xiaoqing Ye:
VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding. 3351-3359 - Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. 3360-3368 - Tangfei Liao, Xiaoqin Zhang, Li Zhao, Tao Wang, Guobao Xiao:
VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning. 3369-3377 - Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan:
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction. 3378-3385 - Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu:
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. 3386-3394 - Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng:
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer. 3395-3403 - Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. 3404-3412 - Jieru Lin, Danqing Huang, Tiejun Zhao, Dechen Zhan, Chin-Yew Lin:
Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator. 3413-3421 - Jinhao Lin, Ziheng Wu, Weifeng Lin, Jun Huang, Ronghua Luo:
M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning. 3422-3431 - Longzhong Lin, Xuewu Lin, Tianwei Lin, Lichao Huang, Rong Xiong, Yue Wang:
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction. 3432-3440 - Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao:
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. 3441-3449 - Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu:
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. 3450-3458 - Qinliang Lin, Cheng Luo, Zenghao Niu, Xilin He, Weicheng Xie, Yuanbo Hou, Linlin Shen, Siyang Song:
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping. 3459-3467 - Wei Lin, Antoni B. Chan:
A Fixed-Point Approach to Unified Prompt-Based Counting. 3468-3476 - Weiping Lin, Zhenfeng Zhuang, Lequan Yu, Liansheng Wang:
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference. 3477-3485 - Wenbin Lin, Chengwei Zheng, Jun-Hai Yong, Feng Xu:
Relightable and Animatable Neural Avatars from Videos. 3486-3494 - Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao:
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. 3495-3503 - Youtian Lin:
Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields. 3504-3512 - Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. 3513-3521 - Zhenkai Lin, Yanli Ji, Yang Yang:
Independency Adversarial Learning for Cross-Modal Sound Separation. 3522-3530 - Zhiwei Lin, Yongtao Wang, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang:
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios. 3531-3539 - Bo Liu, Bin Hu, Xiuli Bi, Weisheng Li, Bin Xiao:
Focus Stacking with High Fidelity and Superior Visual Effects. 3540-3547 - Chao Liu, Ting Zhao, Nenggan Zheng:
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning. 3548-3557 - Chengxu Liu, Xuan Wang, Yuanting Fan, Shuai Li, Xueming Qian:
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera. 3558-3566 - Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng:
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. 3567-3575 - Daizong Liu, Wei Hu:
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack. 3576-3584 - Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao:
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model. 3585-3593 - Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu, Rynson W. H. Lau:
Multi-View Dynamic Reflection Prior for Video Glass Surface Detection. 3594-3602 - Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun:
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation. 3603-3611 - Haoran Liu, Ying Ma, Ming Yan, Yingke Chen, Dezhong Peng, Xu Wang:
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. 3612-3620 - Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu:
Test-Time Personalization with Meta Prompt for Gaze Estimation. 3621-3629 - Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin:
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. 3630-3638 - Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. 3639-3647 - Jin Liu, Huiyuan Fu, Chuanming Wang, Huadong Ma:
Region-Aware Exposure Consistency Network for Mixed Exposure Correction. 3648-3656 - Jinxiu Liu, Qi Liu:
R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion. 3657-3665 - Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian:
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space. 3666-3674 - Lijun Liu, Rui Wang, Yuan Wang, Lihua Jing, Chuan Wang:
Frequency Shuffling and Enhancement for Open Set Recognition. 3675-3683 - Liu Liu, Anran Huang, Qi Wu, Dan Guo, Xun Yang, Meng Wang:
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking. 3684-3692 - Ruicong Liu, Feng Lu:
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation. 3693-3701 - Ruixin Liu, Zejian Yuan:
Compact HD Map Construction via Douglas-Peucker Point Transformer. 3702-3710 - Siqi Liu, Yong-Lu Li, Zhou Fang, Xinpeng Liu, Yang You, Cewu Lu:
Primitive-Based 3D Human-Object Interaction Modelling and Programming. 3711-3719 - Wang Liu, Wei Gao, Xingming Mu:
Fast Inter-frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement. 3720-3728 - Wensi Liu, Xiao-Yu Tang, Chong Yang, Chunjie Yang:
RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation. 3729-3737 - Xiaohui Liu, Zhilu Zhang, Xiaohe Wu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo:
Learning Real-World Image De-weathering with Imperfect Supervision. 3738-3746 - Xingyu Liu, Xu Cheng, Haoyu Chen, Hao Yu, Guoying Zhao:
Differentiable Auxiliary Learning for Sketch Re-Identification. 3747-3755 - Xingyu Liu, Pengfei Ren, Yuanyuan Gao, Jingyu Wang, Haifeng Sun, Qi Qi, Zirui Zhuang, Jianxin Liao:
Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation. 3756-3764 - Xiulong Liu, Sudipta Paul, Moitreya Chatterjee, Anoop Cherian:
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments. 3765-3773 - Yitian Liu, Zhouhui Lian:
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models. 3774-3782 - Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun:
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. 3783-3791 - Yongxu Liu, Yinghui Quan, Guoyao Xiao, Aobo Li, Jinjian Wu:
Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment. 3792-3801 - Yuchun Liu, Benjamin Planche, Meng Zheng, Zhongpai Gao, Pierre Sibut-Bourde, Fan Yang, Terrence Chen, Ziyan Wu:
Implicit Modeling of Non-rigid Objects with Cross-Category Signals. 3802-3809 - Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau:
Recasting Regional Lighting for Shadow Removal. 3810-3818 - Yutong Liu, Haijiang Zhu, Mengting Liu, Huaiyuan Yu, Zihan Chen, Jie Gao:
Rolling-Unet: Revitalizing MLP's Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation. 3819-3827 - Yuxuan Liu, Haizhou Ai, Junliang Xing, Xuri Li, Xiaoyi Wang, Pin Tao:
Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model. 3828-3836 - Yuzhi Liu, Huisi Wu, Jing Qin:
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers. 3837-3845 - Zhaochen Liu, Zhixuan Li, Tingting Jiang:
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion. 3846-3854 - Zhihang Liu, Jun Li, Hongtao Xie, Pandeng Li, Jiannan Ge, Sun'ao Liu, Guoqing Jin:
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval. 3855-3863 - Zhiyue Liu, Jinyuan Liu, Fanrong Ma:
Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning. 3864-3872 - Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li:
Cell Graph Transformer for Nuclei Classification. 3873-3881 - Changsheng Lu, Piotr Koniusz:
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector. 3882-3890 - Hui Lu, Albert Ali Salah, Ronald Poppe:
TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions. 3891-3899 - Yanzuo Lu, Meng Shen, Andy J. Ma, Xiaohua Xie, Jian-Huang Lai:
MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. 3900-3908 - Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu:
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning. 3909-3917 - Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu:
Entropy Induced Pruning Framework for Convolutional Neural Networks. 3918-3926 - Zhan Lu, Qian Zheng, Boxin Shi, Xudong Jiang:
Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images. 3927-3935 - Ziyang Lu, Yunqiang Pei, Guoqing Wang, Peiwei Li, Yang Yang, Yinjie Lei, Heng Tao Shen:
ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding. 3936-3944 - Luanyuan Dai, Xiaoyu Du, Hanwang Zhang, Jinhui Tang:
MGNet: Learning Correspondences via Multiple Graphs. 3945-3953 - Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto:
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. 3954-3962 - Chunjie Luo, Fei Luo, Yusen Wang, Enxu Zhao, Chunxia Xiao:
DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos. 3963-3971 - Fulin Luo, Xi Chen, Xiuwen Gong, Weiwen Wu, Tan Guo:
Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging. 3972-3980 - Naisong Luo, Rui Sun, Yuwen Pan, Tianzhu Zhang, Feng Wu:
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation. 3981-3989
AAAI Technical Track on Computer Vision IV
- Run Luo, Zikai Song, Lintao Ma, Jinlin Wei, Wei Yang, Min Yang:
DiffusionTrack: Diffusion Model for Multi-Object Tracking. 3991-3999 - Shenghong Luo, Xuhang Chen, Weiwen Chen, Zinuo Li, Shuqiang Wang, Chi-Man Pun:
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion. 4000-4008 - Xiaotong Luo, Zekun Ai, Qiuyuan Liang, Ding Liu, Yuan Xie, Yanyun Qu, Yun Fu:
AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution. 4009-4016 - Xiaotong Luo, Yuan Xie, Yanyun Qu, Yun Fu:
SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution. 4017-4025 - Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Zhonghua Wu, Qingyi Tao, Lewei Lu, Shijian Lu:
Modeling Continuous Motion for 3D Point Cloud Object Tracking. 4026-4034 - Changsheng Lv, Mengshi Qi, Xia Li, Zhengyuan Yang, Huadong Ma:
SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene Graph Generation. 4035-4043 - Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang:
Privileged Prior Information Distillation for Image Matting. 4044-4052 - Boyuan Ma, Xiang Yin, Jing Tan, Yongfeng Chen, Haiyou Huang, Hao Wang, Weihua Xue, Xiaojuan Ban:
FedST: Federated Style Transfer Learning for Non-IID Image Segmentation. 4053-4061 - Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen:
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples. 4062-4070 - Chenxi Ma:
Uncertainty-Aware GAN for Single Image Super Resolution. 4071-4079 - Fan Ma, Xiaojie Jin, Heng Wang, Jingjia Huang, Linchao Zhu, Yi Yang:
Stitching Segments and Sentences towards Generalization in Video-Text Pre-training. 4080-4088 - Feipeng Ma, Yizhou Zhou, Fengyun Rao, Yueyi Zhang, Xiaoyan Sun:
Image Captioning with Multi-Context Synthetic Data. 4089-4097 - Wan-Duo Kurt Ma, Avisek Lahiri, John P. Lewis, Thomas Leung, W. Bastiaan Kleijn:
Directed Diffusion: Direct Control of Object Placement through Attention Guidance. 4098-4106 - Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang:
Unifying Visual and Vision-Language Tracking via Contrastive Learning. 4107-4116 - Yue Ma, Yingqing He, Xiaodong Cun, Xintao Wang, Siran Chen, Xiu Li, Qifeng Chen:
Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos. 4117-4125 - Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang:
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval. 4126-4135 - Zhen-Xiang Ma, Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu:
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification. 4136-4144 - Zhiyuan Ma, Zhihuan Yu, Jianjun Li, Bowen Zhou:
LMD: Faster Image Reconstruction with Latent Masking Diffusion. 4145-4153 - Zhiyuan Ma, Guoli Jia, Bowen Zhou:
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing. 4154-4161 - Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu:
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation. 4162-4170 - Oscar Mañas, Benno Krojer, Aishwarya Agrawal:
Improving Automatic VQA Evaluation Using Large Language Models. 4171-4179 - Ruiyu Mao, Ouyang Xu, Yunhui Guo:
Inconsistency-Based Data-Centric Active Open-Set Annotation. 4180-4188 - Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang:
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. 4189-4197 - Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen:
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. 4198-4206 - Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. 4207-4215 - Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng:
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. 4216-4224 - Xiangyang Miao, Guobao Xiao, Shiping Wang, Jun Yu:
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning. 4225-4232 - Roy Miles, Krystian Mikolajczyk:
Understanding the Role of the Projector in Knowledge Distillation. 4233-4241 - Zijian Min, Gundu Mohamed Hassan, Geun-Sik Jo:
Robust Blind Text Image Deblurring via Maximum Consensus Framework. 4242-4250 - Shankhanil Mitra, Rajiv Soundararajan:
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos. 4251-4260 - Wentao Mo, Yang Liu:
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA. 4261-4268 - Bahram Mohammadi, Yicong Hong, Yuankai Qi, Qi Wu, Shirui Pan, Javen Qinfeng Shi:
Augmented Commonsense Knowledge for Remote Object Grounding. 4269-4277 - Henrique Morimitsu, Xiaobin Zhu, Xiangyang Ji, Xu-Cheng Yin:
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation. 4278-4286 - Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova, Anton Konushin, Anton Antonov, Alexander Krapukhin, Denis Shepelev, Konstantin Soshin:
TETRIS: Towards Exploring the Robustness of Interactive Segmentation. 4287-4295 - Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan:
T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models. 4296-4304 - Sahal Shaji Mullappilly, Abhishek Singh Gehlot, Rao Muhammad Anwer, Fahad Shahbaz Khan, Hisham Cholakkal:
Semi-supervised Open-World Object Detection. 4305-4314 - Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky:
Adversarial Attacks on the Interpretation of Neuron Activation Maximization. 4315-4324 - Zhangkai Ni, Peiqi Yang, Wenhan Yang, Hanli Wang, Lin Ma, Sam Kwong:
ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field. 4325-4333 - Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi:
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. 4334-4342 - Li Niu, Junyan Cao, Yan Hong, Liqing Zhang:
Painterly Image Harmonization by Learning from Painterly Objects. 4343-4351 - Li Niu, Yan Hong, Junyan Cao, Liqing Zhang:
Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles. 4352-4360 - Minyoung Oh, Duhyun Kim, Jae-Young Sim:
Domain Generalizable Person Search Using Unreal Dataset. 4361-4368 - Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu:
OctOcc: High-Resolution 3D Occupancy Prediction with Octree. 4369-4377 - Parth Padalkar, Huaduo Wang, Gopal Gupta:
NeSyFOLD: A Framework for Interpretable Image Classification. 4378-4387 - Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai:
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. 4388-4396 - Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li:
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation. 4397-4405 - Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu:
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds. 4406-4414 - Atharva Pandey, Vishal Yadav, Rajendra Nagar, Santanu Chaudhury:
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions. 4415-4423 - Changsong Pang, Xieyuanli Chen, Yimin Liu, Huimin Lu, Yuwei Cheng:
RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation. 4424-4432 - Sihwa Park, Seongjun Kim, Doeyoung Kwon, Yohan Jang, In-Seok Song, Seung Jun Baek:
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs. 4433-4441 - Suho Park, Su Been Lee, Sangeek Hyun, Hyun Seok Seong, Jae-Pil Heo:
Task-Disruptive Background Suppression for Few-Shot Segmentation. 4442-4449 - Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu:
SA²VP: Spatially Aligned-and-Adapted Visual Prompt. 4450-4458 - Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao:
ConditionVideo: Training-Free Condition-Guided Video Generation. 4459-4467 - Dezhi Peng, Chongyu Liu, Yuliang Liu, Lianwen Jin:
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining. 4468-4477 - Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang:
FRIH: Fine-Grained Region-Aware Image Harmonization. 4478-4486 - Kunyu Peng, Cheng Yin, Junwei Zheng, Ruiping Liu, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg:
Navigating Open Set Scenarios for Skeleton-Based Action Recognition. 4487-4496 - Renyuan Peng, Xinyue Cai, Hang Xu, Jiachen Lu, Feng Wen, Wei Zhang, Li Zhang:
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement. 4497-4505 - Wenshuo Peng, Kaipeng Zhang, Yue Yang, Hao Zhang, Yu Qiao:
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification. 4506-4514 - Zelin Peng, Zhengqin Xu, Zhilin Zeng, Xiaokang Yang, Wei Shen:
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. 4515-4523 - Yayun Qi, Wentian Zhao, Xinxiao Wu:
Relational Distant Supervision for Image Captioning without Image-Text Pairs. 4524-4532 - Zhaobo Qi, Yibo Yuan, Xiaowen Ruan, Shuhui Wang, Weigang Zhang, Qingming Huang:
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video. 4533-4541 - Tianwen Qian, Jingjing Chen, Linhai Zhuo, Yang Jiao, Yu-Gang Jiang:
NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario. 4542-4550 - Zhipeng Qian, Yiwei Ma, Jiayi Ji, Xiaoshuai Sun:
X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured Cross-Modal Graph Neural Networks. 4551-4559 - Yuming Qiao, Fanyi Wang, Jingwen Su, Yanhao Zhang, Yunjie Yu, Siyu Wu, Guo-Jun Qi:
BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion. 4560-4568 - Minghan Qin, Yifan Liu, Yuelang Xu, Xiaochen Zhao, Yebin Liu, Haoqian Wang:
High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field. 4569-4577 - Yiming Qin, Nanxuan Zhao, Bin Sheng, Rynson W. H. Lau:
Text2City: One-Stage Text-Driven Urban Layout Regeneration. 4578-4586 - Changqing Qiu, Fusheng Jin, Yining Zhang:
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations. 4587-4595 - Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu:
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification. 4596-4604 - Longtian Qiu, Shan Ning, Xuming He:
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training. 4605-4613 - Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. 4614-4622 - Jiahui Qu, Jie He, Wenqian Dong, Jingyu Zhao:
S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution. 4623-4631 - Qiang Qu, Yiran Shen, Xiaoming Chen, Yuk Ying Chung, Tongliang Liu:
E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning. 4632-4640 - Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham, Anton van den Hengel:
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling. 4641-4649 - Qi Rao, Ke Sun, Xiaohan Wang, Qi Wang, Bang Zhang:
Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition. 4650-4658 - Haziq Razali, Yiannis Demiris:
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations. 4659-4666 - Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao:
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. 4667-4675 - Yi Rong, Haoran Zhou, Lixin Yuan, Cheng Mei, Jiahao Wang, Tong Lu:
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers. 4676-4685 - Bardia Safaei, Vibashan VS, Celso M. de Melo, Vishal M. Patel:
Entropic Open-Set Active Learning. 4686-4694 - Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik:
Generating Images of Rare Concepts Using Pre-trained Diffusion Models. 4695-4703 - Divya Saxena, Jiannong Cao, Jiahao Xu, Tarun Kulshrestha:
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks. 4704-4712 - Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Michael Felsberg:
SeTformer Is What You Need for Vision and Language. 4713-4721 - Kai Shang, Mingwen Shao, Chao Wang, Yuanshuo Cheng, Shuigen Wang:
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement. 4722-4730 - Hao Shao, Yang Zhang, Qibin Hou:
Polyper: Boundary Sensitive Polyp Segmentation. 4731-4739 - Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Bin Liu:
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning. 4740-4747 - Gil Shapira, Yosi Keller:
FaceCoresetNet: Differentiable Coresets for Face Set Recognition. 4748-4756 - Cuifeng Shen, Yulu Gan, Chen Chen, Xiongwei Zhu, Lele Cheng, Tingting Gao, Jinzhi Wang:
Decouple Content and Motion for Conditional Image-to-Video Generation. 4757-4765 - Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, Jianwei Yin:
GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-training and Open-Vocabulary Object Detection. 4766-4775 - Hongyu Shen, Mingtao Pei, Juncai Liu, Zhaoxing Tian:
Automatic Radiology Reports Generation via Memory Alignment Network. 4776-4783 - Junao Shen, Kun Kuang, Jiaheng Wang, Xinyu Wang, Tian Feng, Wei Zhang:
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation. 4784-4792 - Lingdong Shen, Chunlei Huo, Nuo Xu, Chaowei Han, Zichen Wang:
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting. 4793-4801 - Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan, Yuhui Zheng:
Distributed Manifold Hashing for Image Set Classification and Retrieval. 4802-4810 - Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang:
Controllable 3D Face Generation with Conditional Style Code Diffusion. 4811-4819 - Mengmeng Sheng, Zeren Sun, Zhenhuang Cai, Tao Chen, Yichao Zhou, Yazhou Yao:
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning. 4820-4828 - Jinsong Shi, Pan Gao, Jie Qin:
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning. 4829-4837 - Liangtao Shi, Bineng Zhong, Qihua Liang, Ning Li, Shengping Zhang, Xianxian Li:
Explicit Visual Prompts for Visual Object Tracking. 4838-4846 - Ruohua Shi, Lingyu Duan, Tiejun Huang, Tingting Jiang:
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images. 4847-4855 - Sang-Heon Shim, Jiwoo Chung, Jae-Pil Heo:
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation. 4856-4863 - Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang:
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection. 4864-4872 - Nyle Siddiqui, Praveen Tirupattur, Mubarak Shah:
DVANet: Disentangling View and Action Features for Multi-View Action Recognition. 4873-4881 - Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. 4882-4890 - Ayush Singh, Aayush J. Rana, Akash Kumar, Shruti Vyas, Yogesh Singh Rawat:
Semi-supervised Active Learning for Video Action Detection. 4891-4899 - Chen Song, Chandrajit Bajaj, Qixing Huang:
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation. 4900-4908 - Heping Song, Jingyao Gong, Hongying Meng, Yuping Lai:
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing. 4909-4917 - Huihui Song, Tiankang Su, Yuhui Zheng, Kaihua Zhang, Bo Liu, Dong Liu:
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation. 4918-4924 - Kaiyou Song, Shan Zhang, Tong Wang:
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning. 4925-4933 - Mingchen Song, Huiqiang Wang, Guoqiang Zhong:
Self-Prompt Mechanism for Few-Shot Image Recognition. 4934-4942 - Zifan Song, Guosheng Hu, Cairong Zhao:
Diverse Person: Customize Your Own Dataset for Text-Based Person Search. 4943-4951 - Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk:
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation. 4952-4960 - Sitong Su, Jianzhi Liu, Lianli Gao, Jingkuan Song:
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis. 4961-4969 - Yuchao Su, Yuanman Li, Wei Wang, Jiantao Zhou, Xia Li:
A Unified Environmental Network for Pedestrian Trajectory Prediction. 4970-4978 - Yuchen Su, Zhineng Chen, Zhiwen Shao, Yuning Du, Zhilong Ji, Jinfeng Bai, Yong Zhou, Yu-Gang Jiang:
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network. 4979-4987 - Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu:
Spatial-Semantic Collaborative Cropping for User Generated Content. 4988-4997 - Hao Sun, Mingyao Zhou, Wenjing Chen, Wei Xie:
TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection. 4998-5007 - Meiqi Sun, Zhonghan Zhao, Wenhao Chai, Hanjun Luo, Shidong Cao, Yanting Zhang, Jenq-Neng Hwang, Gaoang Wang:
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning. 5008-5016 - Shoukun Sun, Min Xian, Fei Xu, Luca Capriotti, Tiankai Yao:
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation. 5017-5024 - Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo:
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. 5025-5033 - Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang:
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology. 5034-5042 - Zhaoxu Sun, Yuze Xuan, Fang Liu, Yang Xiang:
FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions. 5043-5051 - Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei:
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning. 5052-5060 - Hao Tan, Jun Li, Yizhuang Zhou, Jun Wan, Zhen Lei, Xiangyu Zhang:
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues. 5061-5069 - Lei Tan, Jiaer Xia, Wenfeng Liu, Pingyang Dai, Yongjian Wu, Liujuan Cao:
Occluded Person Re-identification via Saliency-Guided Patch Transfer. 5070-5078 - Shuai Tan, Bin Ji, Ye Pan:
Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style. 5079-5087 - Shuai Tan, Bin Ji, Yu Ding, Ye Pan:
Say Anything with Any Style. 5088-5096
AAAI Technical Track on Computer Vision V
- Zhaorui Tan, Xi Yang, Kaizhu Huang:
Semantic-Aware Data Augmentation for Text-to-Image Synthesis. 5098-5107 - Bowen Tang, Jing Zhang, Long Yan, Qian Yu, Lu Sheng, Dong Xu:
Data-Free Generalized Zero-Shot Learning. 5108-5117 - Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu:
Offline and Online Optical Flow Enhancement for Deep Video Compression. 5118-5126 - Keke Tang, Xu He, Weilong Peng, Jianpeng Wu, Yawen Shi, Daizong Liu, Pan Zhou, Wenping Wang, Zhihong Tian:
Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds. 5127-5135 - Long Tang, Dengpan Ye, Yunna Lv, Chuanxi Chen, Yunming Zhang:
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval. 5136-5144 - Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. 5145-5153 - Qi Tang, Yao Zhao, Meiqin Liu, Jian Jin, Chao Yao:
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution. 5154-5161 - Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang:
Boosting Residual Networks with Group Knowledge. 5162-5170 - Yiwen Tang, Ray Zhang, Zoey Guo, Xianzheng Ma, Bin Zhao, Zhigang Wang, Dong Wang, Xuelong Li:
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models. 5171-5179 - Yuanmin Tang, Jing Yu, Keke Gai, Jiamin Zhuang, Gang Xiong, Yue Hu, Qi Wu:
Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval. 5180-5188 - Zhangyong Tang, Tianyang Xu, Xiaojun Wu, Xuefeng Zhu, Josef Kittler:
Generative-Based Fusion Mechanism for Multi-Modal Tracking. 5189-5197 - Xinhao Tao, Junyan Cao, Yan Hong, Li Niu:
Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling. 5198-5206 - Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li:
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning. 5207-5214 - Wentao Tian, Zheng Wang, Yuqian Fu, Jingjing Chen, Lechao Cheng:
Open-Vocabulary Video Relation Extraction. 5215-5223 - Yanling Tian, Di Chen, Yunan Liu, Jian Yang, Shanshan Zhang:
Divide and Conquer: Hybrid Pre-training for Person Search. 5224-5232 - Kun Tong, Chengze Jiang, Jie Gui, Yuan Cao:
Taxonomy Driven Fast Adversarial Training. 5233-5242 - Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang:
End-to-End Real-Time Vanishing Point Detection with Transformer. 5243-5251 - Siddharth Tourani, Muhammad Haris Khan, Carsten Rother, Bogdan Savchynskyy:
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching. 5252-5260 - Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee:
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis. 5261-5269 - Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol:
CoVR: Learning Composed Video Retrieval from Web Video Captions. 5270-5279 - Thanh Vu, Baochen Sun, Bodi Yuan, Alex Ngai, Yueqi Li, Jan-Michael Frahm:
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond. 5280-5288 - Chase Walker, Sumit Jha, Kenny Chen, Rickard Ewetz:
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision. 5289-5297 - Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan L. Yuille, Tony Tung:
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. 5298-5308 - Bin Wang, Fan Wu, Xiao Han, Jiahui Peng, Huaping Zhong, Pan Zhang, Xiaoyi Dong, Weijia Li, Wei Li, Jiaqi Wang, Conghui He:
VIGC: Visual Instruction Generation and Correction. 5309-5317 - Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. 5318-5326 - Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. 5327-5335 - Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. 5336-5344 - Fei Wang, Dan Guo, Kun Li, Meng Wang:
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer. 5345-5353 - Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan:
Learning to Learn Better Visual Prompts. 5354-5363 - Guanjie Wang, Zehua Ma, Chang Liu, Xi Yang, Han Fang, Weiming Zhang, Nenghai Yu:
MuST: Robust Image Watermarking for Multi-Source Tracing. 5364-5371 - Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian:
LION: Implicit Vision Prompt Tuning. 5372-5380 - Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma:
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation. 5381-5389 - Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen, Xu Liu:
ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-Guided Optimization. 5390-5400 - Haoan Wang, Shilong Jia, Tieyong Zeng, Guixu Zhang, Zhi Li:
Triple Feature Disentanglement for One-Stage Adaptive Object Detection. 5401-5409 - Haoxiang Wang, Tao Yu, Tianwei Yang, Hui Qiao, Qionghai Dai:
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding. 5410-5418 - Hebaixu Wang, Meiqi Gong, Xiaoguang Mei, Hao Zhang, Jiayi Ma:
Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening. 5419-5426 - Hexiang Wang, Fengqi Liu, Qianyu Zhou, Ran Yi, Xin Tan, Lizhuang Ma:
Continuous Piecewise-Affine Based Motion Model for Image Animation. 5427-5435 - Hongyu Wang, Xiaotao Liu, Yifan Li, Meng Sun, Dian Yuan, Jing Liu:
Temporal Adaptive RGBT Tracking with Modality Prompt. 5436-5444 - Jiahao Wang, Caixia Yan, Weizhan Zhang, Huan Liu, Hao Sun, Qinghua Zheng:
SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection. 5445-5453 - Jiangang Wang, Yuning Cui, Yawen Li, Wenqi Ren, Xiaochun Cao:
Omnidirectional Image Super-resolution via Bi-projection Fusion. 5454-5462 - Jing Wang, Jiangyun Li, Chen Chen, Yisi Zhang, Haoran Shen, Tianxiang Zhang:
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement. 5463-5471 - Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen:
PointAttN: You Only Need Attention for Point Cloud Completion. 5472-5480 - Junjue Wang, Zhuo Zheng, Zihang Chen, Ailong Ma, Yanfei Zhong:
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering. 5481-5489 - Kewei Wang, Yizheng Wu, Zhiyu Pan, Xingyi Li, Ke Xian, Zhe Wang, Zhiguo Cao, Guosheng Lin:
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix. 5490-5498 - Keyao Wang, Guosheng Zhang, Haixiao Yue, Ajian Liu, Gang Zhang, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang:
Multi-Domain Incremental Learning for Face Presentation Attack Detection. 5499-5507 - Kun Wang, Zhiqiang Yan, Huang Tian, Zhenyu Zhang, Xiang Li, Jun Li, Jian Yang:
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization. 5508-5516 - Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu:
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. 5517-5525 - Miaohui Wang, Runnan Huang, Hengjin Dong, Di Lin, Yun Song, Wuyuan Xie:
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression. 5526-5534 - Ning Wang, Jiajun Deng, Mingbo Jia:
Cycle-Consistency Learning for Captioning and Grounding. 5535-5543 - Ruichen Wang, Zekang Chen, Chen Chen, Jian Ma, Haonan Lu, Xiaodong Lin:
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models. 5544-5552 - Ruikui Wang, Yuanfang Guo, Yunhong Wang:
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack. 5553-5562 - Ruilu Wang, Yang Xue, Lianwen Jin:
DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations. 5563-5571 - Ruofan Wang, Rui-Wei Zhao, Xiaobo Zhang, Rui Feng:
Towards Evidential and Class Separable Open Set Object Detection. 5572-5580 - Shijing Wang, Yaping Huang:
Suppressing Uncertainty in Gaze Estimation. 5581-5589 - Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv:
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction. 5590-5598 - Tianqi Wang, Sukmin Kim, Wenxuan Ji, Enze Xie, Chongjian Ge, Junsong Chen, Zhenguo Li, Ping Luo:
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving. 5599-5606 - Weishuai Wang, Ting Lei, Qingchao Chen, Yang Liu:
Semantic-Guided Novel Category Discovery. 5607-5614 - Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian:
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. 5615-5623 - Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang:
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception. 5624-5632 - Xijun Wang, Anqi Liang, Junbang Liang, Ming C. Lin, Yu Lou, Shan Yang:
ICAR: Image-Based Complementary Auto Reasoning. 5633-5641 - Xinshun Wang, Qiongjie Cui, Chen Chen, Mengyuan Liu:
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction. 5642-5650 - Yabing Wang, Fan Wang, Jianfeng Dong, Hao Luo:
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer. 5651-5659 - Yang Wang, Tao Zhang:
OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution. 5660-5668 - Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li:
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer. 5669-5677 - Yasi Wang, Hong Liu, Chao Zhang, Lu Xu, Qiang Wang:
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation. 5678-5685 - Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng:
PointPatchMix: Point Cloud Mixing with Patch Scoring. 5686-5694 - Yijie Wang, Mingjian Hong, Luwen Huangfu, Sheng Huang:
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition. 5695-5703 - Yinqiao Wang, Hao Xu, Pheng-Ann Heng, Chi-Wing Fu:
SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation. 5704-5712 - Youhong Wang, Yunji Liang, Hao Xu, Shaohui Jiao, Hongkai Yu:
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. 5713-5721 - Yu Wang, Chao Tong:
H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion. 5722-5730 - Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu:
Exploring Diverse Representations for Open Set Recognition. 5731-5739 - Yu-Hsiang Wang, Jun-Wei Hsieh, Ping-Yang Chen, Ming-Ching Chang, Hung-Hin So, Xin Li:
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking. 5740-5748 - Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao:
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models. 5749-5757 - Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu:
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation. 5758-5766 - Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. 5767-5775 - Yuzheng Wang, Zhaoyu Chen, Dingkang Yang, Pinxue Guo, Kaixun Jiang, Wenqiang Zhang, Lizhe Qi:
Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation. 5776-5784 - Zengbin Wang, Saihui Hou, Man Zhang, Xu Liu, Chunshui Cao, Yongzhen Huang, Peipei Li, Shibiao Xu:
QAGait: Revisit Gait Recognition from a Quality Perspective. 5785-5793 - Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong:
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. 5794-5804 - Zhecheng Wang, Rajanie Prabha, Tianyuan Huang, Jiajun Wu, Ram Rajagopal:
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing. 5805-5813 - Zhehao Wang, Xian Lin, Nannan Wu, Li Yu, Kwang-Ting Cheng, Zengqiang Yan:
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation. 5814-5822 - Zhengxue Wang, Zhiqiang Yan, Jian Yang:
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution. 5823-5831 - Zhicheng Wang, Liwen Xiao, Zhiguo Cao, Hao Lu:
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting. 5832-5840 - Zhihao Wang, Yulin Zhou, Ningyu Zhang, Xiaosong Yang, Jun Xiao, Zhao Wang:
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration. 5841-5849 - Zi Wang, Huaibo Huang, Aihua Zheng, Ran He:
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification. 5850-5858 - Zichen Wang, Bo Yang, Haonan Yue, Zhenghao Ma:
Fine-Grained Prototypes Distillation for Few-Shot Object Detection. 5859-5866 - Zifan Wang, Zhuorui Ye, Haoran Wu, Junyu Chen, Li Yi:
Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence. 5867-5875 - Dong Wei, Xiaoning Sun, Huaijiang Sun, Shengxiang Hu, Bin Li, Weiqing Li, Jianfeng Lu:
Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis. 5876-5884 - Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal:
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. 5885-5893 - Jun Wei, S. Kevin Zhou, Shuguang Cui, Zhen Li:
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection. 5894-5902 - Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong:
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. 5903-5911 - Weixi Weng, Chun Yuan:
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework. 5912-5920 - Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. 5921-5929 - Ancong Wu, Wei-Shi Zheng:
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning. 5930-5939 - Changli Wu, Yiwei Ma, Qi Chen, Haowei Wang, Gen Luo, Jiayi Ji, Xiaoshuai Sun:
3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to-End 3D Referring Expression Segmentation. 5940-5948 - Cong Wu, Xiao-Jun Wu, Josef Kittler, Tianyang Xu, Sara Ahmed, Muhammad Awais, Zhenhua Feng:
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-Based Action Recognition. 5949-5957 - Fan Wu, Jinling Gao, Lanqing Hong, Xinbing Wang, Chenghu Zhou, Nanyang Ye:
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection. 5958-5966 - Fuzhi Wu, Jiasong Wu, Youyong Kong, Chunfeng Yang, Guanyu Yang, Huazhong Shu, Guy Carrault, Lotfi Senhadji:
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks. 5967-5975 - Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. 5976-5984 - Guanyao Wu, Hongming Fu, Jinyuan Liu, Long Ma, Xin Fan, Risheng Liu:
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion. 5985-5993 - Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge:
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. 5994-6002 - Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu:
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models. 6003-6011 - Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong Zhang:
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning. 6012-6020 - Jie Wu, Yuchao Feng, Honghui Xu, Chuanmeng Zhu, Jianwei Zheng:
SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting. 6021-6029 - Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu:
MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. 6030-6038 - Junyi Wu, Yan Huang, Min Gao, Yuzhen Niu, Mingjing Yang, Zhipeng Gao, Jianqiang Zhao:
Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition. 6039-6047 - Ke Wu, Kaizhao Zhang, Mingzhe Gao, Jieru Zhao, Zhongxue Gan, Wenchao Ding:
Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes. 6048-6056 - Longhuang Wu, Shangxuan Tian, Youxin Wang, Pengfei Xiong:
CPN: Complementary Proposal Network for Unconstrained Text Detection. 6057-6065 - Mingrui Wu, Yuqi Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji:
Toward Open-Set Human Object Interaction Detection. 6066-6073 - Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang:
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. 6074-6082 - Pengfei Wu, Le Wang, Sanping Zhou, Gang Hua, Changyin Sun:
Temporal Correlation Vision Transformer for Video Person Re-Identification. 6083-6091 - Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan, Yun Zhou, Changyin Sun:
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification. 6092-6099 - Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen:
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. 6100-6108 - Shangbo Wu, Yu-an Tan, Yajie Wang, Ruinan Ma, Wencong Ma, Yuanzhang Li:
Towards Transferable Adversarial Attacks with Centralized Perturbation. 6109-6116 - Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Wentao Liu, Chen Change Loy:
CLIM: Contrastive Language-Image Mosaic for Region Representation. 6117-6125 - Tao Wu, Xuewei Li, Zhongang Qi, Di Hu, Xintao Wang, Ying Shan, Xi Li:
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model. 6126-6134 - Tao Wu, Tie Luo, Donald C. Wunsch II:
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate. 6135-6143 - Tao Wu, Tie Luo, Donald C. Wunsch II:
CR-SAM: Curvature Regularized Sharpness-Aware Minimization. 6144-6152 - Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. 6153-6161 - Xinyi Wu, Wentao Ma, Dan Guo, Tongqing Zhou, Shan Zhao, Zhiping Cai:
Text-Based Occluded Person Re-identification via Multi-Granularity Contrastive Consistency Learning. 6162-6170 - Yingrui Wu, Mingyang Zhao, Keqiang Li, Weize Quan, Tianqi Yu, Jianfeng Yang, Xiaohong Jia, Dong-Ming Yan:
CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry. 6171-6179 - Zhiliang Wu, Changchang Sun, Hanyu Xuan, Gaowen Liu, Yan Yan:
WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting. 6180-6188 - Zizhang Wu, Yuanzhu Gan, Yunzhe Wu, Ruihao Wang, Xiaoquan Wang, Jian Pu:
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection. 6189-6197 - Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Liujuan Cao:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification. 6198-6206 - Yifan Xia, Yifan Lu, Yuan Gao, Jiayi Ma:
Locality Preserving Refinement for Shape Matching with Functional Maps. 6207-6215 - Wei Xiang, Haoteng Yin, He Wang, Xiaogang Jin:
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents. 6216-6224 - Jianyang Xie, Yanda Meng, Yitian Zhao, Anh Nguyen, Xiaoyun Yang, Yalin Zheng:
Dynamic Semantic-Based Spatial Graph Convolution Network for Skeleton-Based Human Action Recognition. 6225-6233 - Pan Xie, Qipeng Zhang, Taiying Peng, Hao Tang, Yao Du, Zexian Li:
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model. 6234-6242 - Zhao Xie, Yadong Shi, Kewei Wu, Yaru Cheng, Dan Guo:
Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation. 6243-6251 - Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang:
Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model. 6252-6260 - Meng Xing, Zhiyong Feng, Yong Su, Changjae Oh:
Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection. 6261-6269 - Zheng Xing, Weibing Zhao:
Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms. 6270-6278 - Kezheng Xiong, Maoji Zheng, Qingshan Xu, Chenglu Wen, Siqi Shen, Cheng Wang:
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration. 6279-6287 - Jiakun Xu, Bowen Xu, Gui-Song Xia, Liang Dong, Nan Xue:
Patched Line Segment Learning for Vector Road Mapping. 6288-6296 - Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi:
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling. 6297-6305 - Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. 6306-6314 - Ke Xu, Tsun Wai Siu, Rynson W. H. Lau:
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision. 6315-6323 - Lingjing Xu, Yang Gao, Wenfeng Song, Aimin Hao:
Weakly Supervised Multimodal Affordance Grounding for Egocentric Images. 6324-6332 - Mingjie Xu, Feng Lu:
Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process. 6333-6341 - QiHao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu:
HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. 6342-6350 - Sen Xu, Shikui Wei, Tao Ruan, Lixin Liao:
Learning Invariant Inter-pixel Correlations for Superpixel Generation. 6351-6359 - Shuning Xu, Binbin Song, Xiangyu Chen, Jiantao Zhou:
Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning. 6360-6368 - Wenhao Xu, Rongtao Xu, Changwei Wang, Shibiao Xu, Li Guo, Man Zhang, Xiaopeng Zhang:
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation. 6369-6377 - Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao:
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. 6378-6386 - Zunnan Xu, Yachao Zhang, Sicheng Yang, Ronghui Li, Xiu Li:
Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control. 6387-6395 - Shiyu Xuan, Shiliang Zhang:
Decoupled Contrastive Learning for Long-Tailed Recognition. 6396-6403 - Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao:
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. 6404-6412 - Mufan Xue, Xinyu Wu, Jinlong Li, Xuesong Li, Guoyuan Yang:
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation. 6413-6421 - Guoli Yan, Zichun Zhong, Jing Hua:
Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning. 6422-6430 - Kun Yan, Lei Ji, Chenfei Wu, Jian Liang, Ming Zhou, Nan Duan, Shuai Ma:
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis. 6431-6439 - Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng:
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning. 6440-6448 - Shilin Yan, Renrui Zhang, Ziyu Guo, Wenchao Chen, Wei Zhang, Hongyang Li, Yu Qiao, Hao Dong, Zhongjiang He, Peng Gao:
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation. 6449-6457 - Bang Yang, Yong Dai, Xuxin Cheng, Yaowei Li, Asif Raza, Yuexian Zou:
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning. 6458-6466 - Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding:
Geometry-Guided Domain Generalization for Monocular 3D Object Detection. 6467-6476 - Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yifan He, Shaozi Li, Nicu Sebe:
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification. 6477-6485 - Guo-Ye Yang, George Kiyohiro Nakayama, Zi-Kai Xiao, Tai-Jiang Mu, Xiaolei Huang, Shi-Min Hu:
Semantic-Aware Transformation-Invariant RoI Align. 6486-6493 - Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon:
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks. 6494-6502
AAAI Technical Track on Computer Vision VI
- Mingzhan Yang, Guangxin Han, Bin Yan, Wenhua Zhang, Jinqing Qi, Huchuan Lu, Dong Wang:
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking. 6504-6512 - Shuo Yang, Yongqi Wang, Xiaofeng Ji, Xinxiao Wu:
Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection. 6513-6521 - Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong:
Learning Dense Correspondence for NeRF-Based Face Reenactment. 6522-6530 - Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Guangming Shi:
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events. 6531-6539 - Xiangpeng Yang, Linchao Zhu, Xiaohan Wang, Yi Yang:
DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval. 6540-6548 - Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin:
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. 6549-6557 - Xin Yang, Wending Yan, Yuan Yuan, Michael Bi Mi, Robby T. Tan:
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention. 6558-6566 - Xingxing Yang, Jie Chen, Zaifeng Yang:
Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues. 6567-6575 - Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang:
Decomposing Semantic Shifts for Composed Image Retrieval. 6576-6584 - Yaokun Yang, Yihan Yin, Feng Lu:
Gaze Target Detection by Merging Human Attention and Activity Cues. 6585-6593 - Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen:
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation. 6594-6602 - Zhenhua Yang, Dezhi Peng, Yuxin Kong, Yuyi Zhang, Cong Yao, Lianwen Jin:
FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning. 6603-6611 - Feiyu Yao, Zongkai Wu, Li Yi:
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective. 6612-6620 - Lujian Yao, Haitao Zhao, Jingchao Peng, Zhongze Wang, Kaijie Zhao:
FoSp: Focus and Separation Network for Early Smoke Segmentation. 6621-6629 - Yiyang Yao, Peng Liu, Tiancheng Zhao, Qianqian Zhang, Jiajia Liao, Chunxin Fang, Kyusong Lee, Qing Wang:
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection. 6630-6638 - Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. 6639-6647 - Fulong Ye, Guang Liu, Xinya Wu, Ledell Wu:
AltDiffusion: A Multilingual Text-to-Image Diffusion Model. 6648-6656 - Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-Modality Adversarial Attack with Semantic Perturbation. 6657-6665 - Xi Ye, Guillaume-Alexandre Bilodeau:
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction. 6666-6674 - Yunfan Ye, Kai Xu, Yuhang Huang, Renjiao Yi, Zhiping Cai:
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection. 6675-6683 - Yuteng Ye, Hang Zhou, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle Wang, Qiang Hu, Junqing Yu, Wei Yang:
Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification. 6684-6692 - Yuteng Ye, Jiale Cai, Hang Zhou, Guanwen Li, Youjia Zhang, Zikai Song, Chenxing Gao, Junqing Yu, Wei Yang:
Progressive Text-to-Image Diffusion with Soft Latent Direction. 6693-6701 - Kefu Yi, Kai Luo, Xiaolei Luo, Jiangui Huang, Hao Wu, Rongdong Hu, Wei Hao:
UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. 6702-6710 - Mingxin Yi, Kai Zhang, Pei Liu, Tanli Zuo, Jingduo Tian:
DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images. 6711-6719 - Kai Yin, Jie Shen:
Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution. 6720-6728 - Pengwei Yin, Guanzhong Zeng, Jingjing Wang, Di Xie:
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model. 6729-6737 - Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao:
Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis. 6738-6746 - Yufei Yin, Hao Chen, Wengang Zhou, Jiajun Deng, Haiming Xu, Houqiang Li:
Revisiting Open-Set Panoptic Segmentation. 6747-6754 - Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. 6755-6763 - Chenyang Yu, Xuehu Liu, Yingquan Wang, Pingping Zhang, Huchuan Lu:
TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification. 6764-6772 - Hai-Tao Yu, Mofei Song:
MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding. 6773-6781 - Hongtian Yu, Yunjie Tian, Qixiang Ye, Yunfan Liu:
Spatial Transform Decoupling for Oriented Object Detection. 6782-6790 - Hongwei Yu, Jiansheng Chen, Xinlong Ding, Yudong Zhang, Ting Tang, Huimin Ma:
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models. 6791-6799 - Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Tom Weidong Cai, Wayne Wu:
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation. 6800-6807 - Sheng Yu, Di-Hua Zhai, Yuanqing Xia:
CatFormer: Category-Level 6D Object Pose Estimation with Transformer. 6808-6816 - Songsong Yu, Yifan Wang, Yunzhi Zhuge, Lijun Wang, Huchuan Lu:
DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation. 6817-6825 - Xiaoxuan Yu, Hao Wang, Weiming Li, Qiang Wang, SoonYong Cho, Younghun Sung:
DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding. 6826-6834 - Xuanlong Yu, Gianni Franchi, Jindong Gu, Emanuel Aldea:
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression. 6835-6843 - Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi:
Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples. 6844-6852 - Xiaojian Yuan, Kejiang Chen, Wen Huang, Jie Zhang, Weiming Zhang, Nenghai Yu:
Data-Free Hard-Label Robustness Stealing Attack. 6853-6861 - Yutao Yuan, Chun Yuan:
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution. 6862-6870 - Zhenlong Yuan, Jiakai Cao, Zhaoxin Li, Hao Jiang, Zhaoqi Wang:
SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization. 6871-6880 - Huanjing Yue, Zifan Cui, Kun Li, Jingyu Yang:
KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching. 6881-6889 - Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang:
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. 6890-6898 - Ziyu Yue, Jiaxin Gao, Zhixun Su:
Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement. 6899-6907 - Wulian Yun, Mengshi Qi, Chuanming Wang, Huadong Ma:
Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature. 6908-6916 - Xiao Yun, Chenglong Xu, Kévin Riou, Kaiwen Dong, Yanjing Sun, Song Li, Kévin Subrin, Patrick Le Callet:
Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy. 6917-6925 - Zhengqing Zang, Chenyu Lin, Chenwei Tang, Tao Wang, Jiancheng Lv:
Zero-Shot Aerial Object Detection with Visual Description Regularization. 6926-6934 - Bohan Zeng, Shanglin Li, Xuhui Liu, Sicheng Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Jianzhuang Liu, Baochang Zhang:
Controllable Mind Visual Diffusion Model. 6935-6943 - Kunlun Zeng, Ri Cheng, Weimin Tan, Bo Yan:
MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization. 6944-6952 - Mingfeng Zha, Yunqiang Pei, Guoqing Wang, Tianyu Li, Yang Yang, Wenbin Qian, Heng Tao Shen:
Weakly-Supervised Mirror Detection via Scribble Annotations. 6953-6961 - Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. 6962-6970 - Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. 6971-6978 - Yajing Zhai, Yawen Zeng, Zhiyong Huang, Zheng Qin, Xin Jin, Da Cao:
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification. 6979-6987 - Yang Zhan, Yuan Yuan, Zhitong Xiong:
Mono3DVG: 3D Visual Grounding in Monocular Images. 6988-6996 - Bowen Zhang, Qing Liu, Jianming Zhang, Yilin Wang, Liyang Liu, Zhe Lin, Yifan Liu:
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion. 6997-7005 - Boyu Zhang, Hongliang Yuan:
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction. 7006-7014 - Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou:
Weakly Supervised Few-Shot Object Detection with DETR. 7015-7023 - Chiyu Zhang, Xiaogang Xu, Lei Wang, Zaiyan Dai, Jun Yang:
S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention. 7024-7032 - Dehuan Zhang, Jingchun Zhou, Chunle Guo, Weishi Zhang, Chongyi Li:
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement. 7033-7041 - Fangyuan Zhang, Tianxiang Pan, Jun-Hai Yong, Bin Wang:
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation. 7042-7050 - Hai Zhang, Chunwei Wu, Guitao Cao, Hailing Wang, Wenming Cao:
HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. 7051-7059 - Haiming Zhang, Xu Yan, Dongfeng Bai, Jiantao Gao, Pan Wang, Bingbing Liu, Shuguang Cui, Zhen Li:
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation. 7060-7068 - Haiyu Zhang, Shaolin Su, Yu Zhu, Jinqiu Sun, Yanning Zhang:
GSDD: Generative Space Dataset Distillation for Image Super-resolution. 7069-7077 - Hao Zhang, Fang Li, Lu Qi, Ming-Hsuan Yang, Narendra Ahuja:
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. 7078-7086 - Hao Zhang, Xuhui Zuo, Huabing Zhou, Tao Lu, Jiayi Ma:
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency. 7087-7095 - Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie:
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. 7096-7104 - Huatian Zhang, Lei Zhang, Kun Zhang, Zhendong Mao:
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching. 7105-7114 - Huaxin Zhang, Xiang Wang, Xiaohao Xu, Zhiwu Qing, Changxin Gao, Nong Sang:
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation. 7115-7123 - Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Daniel K. Du, Min Zheng:
AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose. 7124-7132 - Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu:
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. 7133-7141 - Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu:
Curvature-Invariant Adversarial Attacks for 3D Point Clouds. 7142-7150 - Jing Zhang, Xiaoqiang Liu, Mingzhe Chen, Zhe Wang:
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering. 7151-7159 - Jingwen Zhang, Zikun Zhou, Guangming Lu, Jiandong Tian, Wenjie Pei:
Robust 3D Tracking with Quality-Aware Shape Completion. 7160-7168 - Jingyi Zhang, Qihong Mao, Guosheng Hu, Siqi Shen, Cheng Wang:
Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes. 7169-7177 - Junge Zhang, Feihu Zhang, Shaochen Kuang, Li Zhang:
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields. 7178-7186 - Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin:
Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection. 7187-7195 - Li Zhang, Mingliang Xu, Dong Li, Jianming Du, Rujing Wang:
CatmullRom Splines-Based Regression for Image Forgery Localization. 7196-7204 - Lijun Zhang, Kangkang Zhou, Feng Lu, Xiang-Dong Zhou, Yu Shi:
Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation. 7205-7214 - Lingjun Zhang, Xinyuan Chen, Yaohui Wang, Yue Lu, Yu Qiao:
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model. 7215-7223 - Mingjin Zhang, Handi Yang, Jie Guo, Yunsong Li, Xinbo Gao, Jing Zhang:
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning. 7224-7232 - Ning Zhang, Hiuyi Cheng, Jiayu Chen, Zongyuan Jiang, Jun Huang, Yang Xue, Lianwen Jin:
M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. 7233-7241 - Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang:
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting. 7242-7250 - Qingwang Zhang, Yingying Zhu:
Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination. 7251-7259 - Renhong Zhang, Tianheng Cheng, Shusheng Yang, Haoyi Jiang, Shuai Zhang, Jiancheng Lyu, Xin Li, Xiaowen Ying, Dashan Gao, Wenyu Liu, Xinggang Wang:
MobileInst: Video Instance Segmentation on the Mobile. 7260-7268 - Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. 7269-7277 - Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan:
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. 7278-7286 - Shunran Zhang, Xiubo Zhang, Tsz Nam Chan, Shenghui Zhang, Leong Hou U:
A Computation-Aware Shape Loss Function for Point Cloud Completion. 7287-7295 - Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. 7296-7304 - Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo, Baoxin Li, Jae-Sun Seo, Yu Cao:
Transformer-Based Selective Super-resolution for Efficient Image Refinement. 7305-7313 - Wenwen Zhang, Yun Hu, Hangguan Shan, Eryun Liu:
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection. 7314-7322 - Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan:
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping. 7323-7331 - Xinliang Zhang, Lei Zhu, Hangzhou He, Lujia Jin, Yanye Lu:
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. 7332-7340 - Xu Zhang, Hao Li, Mang Ye:
Negative Pre-aware for Noisy Cross-Modal Matching. 7341-7349 - Xulu Zhang, Xiao-Yong Wei, Jinlin Wu, Tianyi Zhang, Zhaoxiang Zhang, Zhen Lei, Qing Li:
Compositional Inversion for Stable Diffusion Models. 7350-7358 - Yachao Zhang, Runze Hu, Ronghui Li, Yanyun Qu, Yuan Xie, Xiu Li:
Cross-Modal Match for Language Conditioned 3D Object Grounding. 7359-7367 - Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei Bai, Qi Chu, Nenghai Yu, Wanli Ouyang:
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators. 7368-7376 - Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He:
Concept-Guided Prompt Learning for Generalization in Vision-Language Models. 7377-7386 - Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding:
ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection. 7387-7395 - Zhanjie Zhang, Quanwei Zhang, Wei Xing, Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Junsheng Luan, Yiling Huang, Huaizhong Lin:
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank. 7396-7404 - Zhenfei Zhang, Mingyang Li, Ming-Ching Chang:
A New Benchmark and Model for Challenging Image Manipulation Detection. 7405-7413 - Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun:
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. 7414-7422 - Zhongyi Zhang, Tianyi Wei, Wenbo Zhou, Hanqing Zhao, Weiming Zhang, Nenghai Yu:
FaceRSA: RSA-Aware Facial Identity Cryptography Framework. 7423-7431 - Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. 7432-7440 - Ziyin Zhang, Ning Lu, Minghui Liao, Yongshuai Huang, Cheng Li, Min Wang, Wei Peng:
Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach. 7441-7449 - Boming Zhao, Luwei Yang, Mao Mao, Hujun Bao, Zhaopeng Cui:
PNeRFLoc: Visual Localization with Point-Based Neural Radiance Fields. 7450-7459 - Haimei Zhao, Qiming Zhang, Shanshan Zhao, Zhe Chen, Jing Zhang, Dacheng Tao:
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection. 7460-7468 - Hengrun Zhao, Yu Zeng, Huchuan Lu, Lijun Wang:
Large Occluded Human Image Completion via Image-Prior Cooperating. 7469-7477 - Junwei Zhao, Shiliang Zhang, Zhaofei Yu, Tiejun Huang:
Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera. 7478-7486 - Peizhi Zhao, Shiyi Zheng, Wenye Zhao, Dongsheng Xu, Pijian Li, Yi Cai, Qingbao Huang:
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point. 7487-7495 - Rui Zhao, Ruiqin Xiong, Jian Zhang, Xinfeng Zhang, Zhaofei Yu, Tiejun Huang:
Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion. 7496-7504 - Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu:
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing. 7505-7513 - Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu:
No Head Left Behind - Multi-Head Alignment Distillation for Transformers. 7514-7524 - Xinqiao Zhao, Feilong Tang, Xiaoyang Wang, Jimin Xiao:
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation. 7525-7533 - Zhiwei Zhao, Bin Liu, Yan Lu, Qi Chu, Nenghai Yu:
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification. 7534-7542 - Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen:
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis. 7543-7551 - Bolun Zheng, Haoran Li, Quan Chen, Tingyu Wang, Xiaofei Zhou, Zhenghui Hu, Chenggang Yan:
Quad Bayer Joint Demosaicing and Denoising Based on Dual Encoder Network with Joint Residual Learning. 7552-7561 - Huiming Zheng, Wei Gao:
End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy. 7562-7570 - Qingping Zheng, Yuanfan Guo, Jiankang Deng, Jianhua Han, Ying Li, Songcen Xu, Hang Xu:
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images. 7571-7578 - Yaolin Zheng, Hongbo Huang, Xiuying Wang, Xiaoxu Yan, Longfei Xu:
Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph. 7579-7587 - Yaozong Zheng, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shengping Zhang, Xianxian Li:
ODTrack: Online Dense Temporal Token Learning for Visual Tracking. 7588-7596 - Zewen Zheng, Xuemin Zhang, Yongqiang Mou, Xiang Gao, Chengxin Li, Guoheng Huang, Chi-Man Pun, Xiaochen Yuan:
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment. 7597-7604 - Wenqi Zhong, Linzhi Yu, Chen Xia, Junwei Han, Dingwen Zhang:
SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer. 7605-7613 - Yicheng Zhong, Huawei Wei, Peiji Yang, Zhisheng Wang:
ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment. 7614-7622 - Yunshan Zhong, Yuyao Zhou, Yuxin Zhang, Fei Chao, Rongrong Ji:
Learning Image Demoiréing from Unpaired Real Data. 7623-7631 - Feng Zhou, Jianqin Yin, Peiyang Li:
Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation. 7632-7640 - Gengze Zhou, Yicong Hong, Qi Wu:
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models. 7641-7649 - Jiaying Zhou, Yang Liu, Qingchao Chen:
Novel Class Discovery in Chest X-rays via Paired Images and Text. 7650-7658 - Jingchun Zhou, Zongxin He, Kin-Man Lam, Yudong Wang, Weishi Zhang, Chunle Guo, Chongyi Li:
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection. 7659-7667 - Qiu Zhou, Jinming Cao, Hanchao Leng, Yifang Yin, Yu Kun, Roger Zimmermann:
SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection. 7668-7676 - Shenglong Zhou, Zhiwei Xiong, Feng Wu:
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration. 7677-7685 - Shengzhe Zhou, Zejian Li, Shengyuan Zhang, Lefan Hou, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun:
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models. 7686-7694 - Shili Zhou, Ruian He, Weimin Tan, Bo Yan:
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model. 7695-7703 - Yubo Zhou, Jin Lin, Fangchen Ye, Yanyun Qu, Yuan Xie:
Efficient Lightweight Image Denoising with Triple Attention Transformer. 7704-7712 - Yuxi Zhou, Xiujie Wang, Jianhua Zhang, Jiajia Wang, Jie Yu, Hao Zhou, Yi Gao, Shengyong Chen:
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution. 7713-7721 - Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun:
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. 7722-7730 - Guangming Zhu, Siyuan Wang, Tianci Wu, Liang Zhang:
Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing. 7731-7738 - Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha:
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization. 7739-7747 - Juanjuan Zhu, Zhexiong Wan, Yuchao Dai:
Video Frame Prediction from a Single Image and Events. 7748-7756 - Lin Zhu, Xianzhang Chen, Xiao Wang, Hua Huang:
Finding Visual Saliency in Continuous Spike Stream. 7757-7765 - Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu:
SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly. 7766-7774 - Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue:
Text Image Inpainting via Global Structure-Guided Diffusion Models. 7775-7783 - Xingyu Zhu, Guanhui Ye, Xiapu Luo, Xuetao Wei:
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking. 7784-7792 - Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He:
Boosting Few-Shot Learning via Attentive Feature Regularization. 7793-7801 - Yu Zhu, Kang Li, Lequan Yu, Pheng-Ann Heng:
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification. 7802-7810 - Yun Zhu, Le Hui, Yaqi Shen, Jin Xie:
SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection. 7811-7819 - Zhifeng Zhu, Yaochen Li, Yifan Li, Jinhuo Yang, Peijun Chen, Yuehu Liu:
SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain. 7820-7827 - Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao:
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields. 7828-7836 - Wei Zong, Yang-Wai Chow, Willy Susilo, Joonsang Baek, Jongkil Kim, Seyit Camtepe:
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking. 7837-7845 - Jiayu Zou, Kun Tian, Zheng Zhu, Yun Ye, Xingang Wang:
DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception. 7846-7854 - Shinan Zou, Chao Fan, Jianbo Xiong, Chuanfu Shen, Shiqi Yu, Jin Tang:
Cross-Covariate Gait Recognition: A Benchmark. 7855-7863 - Siyu Zou, Jiji Tang, Yiyi Zhou, Jing He, Chaoyi Zhao, Rongsheng Zhang, Zhipeng Hu, Xiaoshuai Sun:
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks. 7864-7872 - Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongsheng Chen, Sixiang Chen:
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook. 7873-7881 - Yang Zou, Xingyuan Li, Zhiying Jiang, Jinyuan Liu:
Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis. 7882-7890 - Yanmei Zou, Hongshan Yu, Zhengeng Yang, Zechuan Li, Naveed Akhtar:
Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding. 7891-7899 - Zixin Zou, Weihao Cheng, Yan-Pei Cao, Shi-Sheng Huang, Ying Shan, Song-Hai Zhang:
Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views. 7900-7908 - Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin, Haonan Su:
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation. 7909-7916
AAAI Technical Track on Constraint Satisfaction and Optimization
- Vasily Alferov, Ivan Bliznets, Kirill Brilliantov:
Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph. 7918-7925 - Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev, Grigory Yaroslavtsev:
Approximation Scheme for Weighted Metric Clustering via Sherali-Adams. 7926-7934 - Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. 7935-7942 - Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan:
Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs. 7943-7951 - Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen:
Testing Self-Reducible Samplers. 7952-7960 - Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe, Bart Bogaerts, Marc Denecker:
Using Symmetries to Lift Satisfiability Checking. 7961-7968 - Xingdi Chen, Yu Xiong, Kai Yang:
Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective. 7969-7977 - Leroy Chew, Alexis de Colnet, Friedrich Slivovsky, Stefan Szeider:
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL. 7978-7986 - Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng:
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. 7987-7994 - Yu-Wei Fan, Jie-Hong R. Jiang:
Unifying Decision and Function Queries in Stochastic Boolean Satisfiability. 7995-8003 - Johannes Klaus Fichte, Tobias Geibinger, Markus Hecher, Matthias Schlögel:
Parallel Empirical Evaluations: Resilience despite Concurrency. 8004-8012 - Till Fluschnik, Leon Kellerhals, Malte Renken:
Locally Rainbow Paths. 8013-8021 - Cunjing Ge:
Approximate Integer Solution Counts over Linear Arithmetic Constraints. 8022-8029 - Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam-Ngouonou, Rémi Douence, Claude-Guy Quimper:
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae. 8030-8037 - Stephan Gocht, Ciaran McCreesh, Magnus O. Myreen, Jakob Nordström, Andy Oertel, Yong Kiam Tan:
End-to-End Verification for Subgraph Solving. 8038-8047 - Mikolás Janota, Choiwah Chow, João Araújo, Michael Codish, Petr Vojtechovský:
SAT-Based Techniques for Lexicographically Smallest Finite Models. 8048-8056 - Javier Larrosa, Conrado Martínez, Emma Rollon:
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving. 8057-8064 - Kevin Leo, Graeme Gange, Maria Garcia de la Banda, Mark Wallace:
Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning. 8065-8072 - Tianhao Liu, Shanwen Pu, Dongdong Ge, Yinyu Ye:
Learning to Pivot as a Smart Expert. 8073-8081 - Mohsen Nafar, Michael Römer:
Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization. 8082-8089 - Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen, Kim-Chuan Toh:
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods. 8090-8098 - Amar Shah, Federico Mora, Sanjit A. Seshia:
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes. 8099-8107 - Arijit Shaw, Brendan Juba, Kuldeep S. Meel:
An Approximate Skolem Function Counter. 8108-8116 - Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan:
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems. 8117-8125 - Giuseppe Spallitta, Roberto Sebastiani, Armin Biere:
Disjoint Partial Enumeration without Blocking Clauses. 8126-8135 - Miguel Terra-Neves, José Amaral, Alexandre Lemos, Rui Quintino, Pedro Resende, António Alegria:
SAT-Based Algorithms for Regular Graph Pattern Matching. 8136-8145 - Kerian Thuillier, Anne Siegel, Loïc Paulevé:
CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems. 8146-8153 - Dimosthenis C. Tsouros, Senne Berden, Tias Guns:
Learning to Learn in Interactive Constraint Acquisition. 8154-8162 - Chaoyun Wang, Jingmin Xin, Nanning Zheng, Caigui Jiang:
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints. 8163-8171 - Ruiwei Wang:
Encoding Constraints as Binary Constraint Networks Satisfying BTP. 8172-8181 - Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
What Are the Rules? Discovering Constraints from Data. 8182-8190 - Hai Xia, Stefan Szeider:
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection. 8191-8199 - Suwei Yang, Kuldeep S. Meel:
Engineering an Exact Pseudo-Boolean Model Counter. 8200-8208 - Haofeng Yuan, Lichang Fang, Shiji Song:
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation. 8209-8216 - Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. 8217-8225
AAAI Technical Track on Data Mining & Knowledge Management
- Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu:
Multimodal Graph Neural Architecture Search under Distribution Shifts. 8227-8235 - Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, Xu Zou:
Make Lossy Compression Meaningful for Low-Light Images. 8236-8245 - Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng:
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. 8246-8254 - Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu:
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. 8255-8264 - Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. 8265-8273 - Jiayuan Chen, Kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang:
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features. 8274-8282 - Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong:
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation. 8283-8291 - Lanlan Chen, Kai Wu, Jian Lou, Jing Liu:
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics. 8292-8301 - Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. 8302-8310 - Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang:
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. 8311-8319 - Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. 8320-8328 - Hui Cui, Lihai Zhao, Fengling Li, Lei Zhu, Xiaohui Han, Jingjing Li:
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation. 8329-8337 - Wanyun Cui, Linqiu Zhang:
Modeling Knowledge Graphs with Composite Reasoning. 8338-8345 - Joscha Cüppers, Paul Krieger, Jilles Vreeken:
Discovering Sequential Patterns with Predictable Inter-event Delays. 8346-8353 - Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin:
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. 8354-8362 - Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang:
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. 8363-8371 - Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li:
Structural Entropy Based Graph Structure Learning for Node Classification. 8372-8379 - Cunhang Fan, Yujie Chen, Jun Xue, Yonghui Kong, Jianhua Tao, Zhao Lv:
Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion. 8380-8388 - Jinyong Fan, Yanyan Shen:
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting. 8389-8397 - Dazhi Fu, Zhao Zhang, Jicong Fan:
Dense Projection for Anomaly Detection. 8398-8408 - En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu, Xin-Hao Zhu, Wang-Zhou Dai:
Knowledge-Enhanced Historical Document Segmentation and Recognition. 8409-8416 - Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He:
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. 8417-8426 - Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao, Rui Yan:
Your Career Path Matters in Person-Job Fit. 8427-8435 - Poonam Goyal, Arshveer Kaur, Arvind Ram, Navneet Goyal:
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications. 8436-8444 - Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma:
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection. 8445-8453 - Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, Bin Ruan:
LGMRec: Local and Global Graph Learning for Multimodal Recommendation. 8454-8462 - Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin:
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. 8463-8471 - Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie:
A Diffusion-Based Framework for Multi-Class Anomaly Detection. 8472-8480 - Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang:
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. 8481-8489 - Yuchen He, Zeqing Yuan, Yihong Wu, Liqi Cheng, Dazhen Deng, Yingcai Wu:
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis. 8490-8498 - Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu:
Label Attentive Distillation for GNN-Based Graph Classification. 8499-8507 - Dongpeng Hou, Chao Gao, Xuelong Li, Zhen Wang:
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation. 8508-8516 - Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan, Wang-Chien Lee, De-Nian Yang:
Social-Aware Group Display Configuration in VR Conference. 8517-8525 - Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang:
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model. 8526-8534 - Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan:
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation. 8535-8543 - Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li:
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. 8544-8552 - Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. 8553-8561 - Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi:
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization. 8562-8570 - Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu:
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning. 8571-8581 - Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. 8582-8590 - Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. 8591-8599 - Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim:
VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation. 8600-8607 - Aritra Konar, Nicholas D. Sidiropoulos:
Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining. 8608-8616 - Dexu Kong, Anping Zhang, Yang Li:
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis. 8617-8626 - Weiyang Kong, Ziyu Guo, Yubao Liu:
Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting. 8627-8635 - Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen:
Knowledge-Aware Explainable Reciprocal Recommendation. 8636-8644 - Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen:
Adaptive Hardness Negative Sampling for Collaborative Filtering. 8645-8652 - Daixun Li, Weiying Xie, Jiaqing Zhang, Yunsong Li:
MDFL: Multi-Domain Diffusion-Driven Feature Learning. 8653-8660 - Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao:
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. 8661-8669 - Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. 8670-8678 - Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang:
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. 8679-8687 - Xiaoxi Li, Yujia Zhou, Zhicheng Dou:
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models. 8688-8696 - Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang:
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. 8697-8706 - Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi:
A Generalized Neural Diffusion Framework on Graphs. 8707-8715 - Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li:
Learning to Rank in Generative Retrieval. 8716-8723 - Zechen Li, Weiming Huang, Kai Zhao, Min Yang, Yongshun Gong, Meng Chen:
Urban Region Embedding via Multi-View Contrastive Prediction. 8724-8732 - Ke Liang, Sihang Zhou, Meng Liu, Yue Liu, Wenxuan Tu, Yi Zhang, Liming Fang, Zhe Liu, Xinwang Liu:
Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations. 8733-8741 - Jiang Lin, Yaping Yan:
A Comprehensive Augmentation Framework for Anomaly Detection. 8742-8749 - Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. 8750-8758 - Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu:
Towards Continual Knowledge Graph Embedding via Incremental Distillation. 8759-8768 - Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su:
Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation. 8769-8777 - Jintao Liu, Kaiwen Wei, Chenglong Liu:
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network. 8778-8786 - Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei:
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. 8787-8795 - Qiming Liu, Xiang Ao, Yuyao Guo, Qing He:
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. 8796-8804 - Ruoqi Liu, Lingfei Wu, Ping Zhang:
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs. 8805-8814 - Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong:
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. 8815-8823 - Xiangyu Liu, Yang Liu, Wei Hu:
Knowledge Graph Error Detection with Contrastive Confidence Adaption. 8824-8831 - Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. 8832-8840 - Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He:
Full Bayesian Significance Testing for Neural Networks. 8841-8849 - Xiao Long, Liansheng Zhuang, Aodi Li, Jiuchang Wei, Houqiang Li, Shafei Wang:
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding. 8850-8858 - Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma:
Deep Hierarchical Video Compression. 8859-8867 - Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang:
Spectral-Based Graph Neural Networks for Complementary Item Recommendation. 8868-8876 - Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang:
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. 8877-8885 - Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang:
Plug-In Diffusion Model for Sequential Recommendation. 8886-8894 - Yijun Ma, Chaozhuo Li, Xiao Zhou:
Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation. 8895-8903 - Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi:
Graph Contrastive Invariant Learning from the Causal Perspective. 8904-8912 - Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab:
HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces. 8913-8920 - Furong Peng, Jiachen Luo, Xuan Lu, Sheng Wang, Feijiang Li:
Cross-Domain Contrastive Learning for Time Series Clustering. 8921-8929 - Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang, Zhiyang Teng, Lijuan Sun, Qimei Cui, Xiaofeng Tao:
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks. 8930-8938 - Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang:
Link Prediction in Multilayer Networks via Cross-Network Embedding. 8939-8947 - Jihyeon Seong, Jungmin Kim, Jaesik Choi:
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings. 8948-8956 - Bin Shang, Yinliang Zhao, Jun Liu, Di Wang:
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation. 8957-8965 - Bin Shang, Yinliang Zhao, Jun Liu, Di Wang:
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion. 8966-8974 - Shuyao Shang, Zhengyang Shan, Guangxing Liu, Lunqian Wang, Xinghua Wang, Zekai Zhang, Jinglin Zhang:
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution. 8975-8983 - Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park:
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. 8984-8992 - Zixing Song, Ziqiao Meng, Irwin King:
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. 8993-9001 - Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. 9002-9010 - Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui:
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs. 9011-9018 - Colin Sullivan, Mo Tiwari, Sebastian Thrun:
MAPTree: Beating "Optimal" Decision Trees with Bayesian Decision Trees. 9019-9026 - Jie Sun, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang, Kaiqiao Zhan, Ben Wang:
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems. 9027-9034 - Ke Sun, Pei Liu, Pengfei Li, Zhifang Liao:
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting. 9035-9043 - Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu:
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. 9044-9052 - Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen:
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. 9053-9061 - Nils Philipp Walter, Jonas Fischer, Jilles Vreeken:
Finding Interpretable Class-Specific Patterns through Efficient Neural Search. 9062-9070 - Hai Wan, Pingjia Liang, Jianfeng Du, Weilin Luo, Rongzhen Ye, Bo Peng:
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding. 9071-9079 - Zhijing Wan, Zhixiang Wang, Yuran Wang, Zheng Wang, Hongyuan Zhu, Shin'ichi Satoh:
Contributing Dimension Structure of Deep Feature for Coreset Selection. 9080-9088 - Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang:
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective. 9089-9097 - Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. 9098-9106 - Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing:
Review-Enhanced Hierarchical Contrastive Learning for Recommendation. 9107-9115 - Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao Qin:
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment. 9116-9124 - Wenbo Wang, Bingquan Liu, Lili Shan, Chengjie Sun, Ben Chen, Jian Guan:
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation. 9125-9132 - Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. 9133-9141 - Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Open-Set Graph Domain Adaptation via Separate Domain Alignment. 9142-9150 - Yiwei Wei, Shaozu Yuan, Hengyang Zhou, Longbiao Wang, Zhiling Yan, Ruosong Yang, Meng Chen:
G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection. 9151-9159 - Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu:
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding. 9160-9168 - Dayan Wu, Qinghang Su, Bo Li, Weiping Wang:
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion. 9169-9177 - Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. 9178-9186 - Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu, Guangnan Ye, Hongfeng Chai:
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph. 9187-9195 - Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su:
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection. 9196-9204 - Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan, Steffen Staab:
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning. 9205-9213 - Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao, Hai Wan:
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum. 9214-9222 - Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu:
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. 9223-9231 - Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai:
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. 9232-9240 - Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi:
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. 9241-9249 - Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao, Xiuyuan Wang, Bing Han, Xiaolin Zheng, Jianwei Yin:
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward. 9250-9259 - Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin:
Graph Neural Networks with Soft Association between Topology and Attribute. 9260-9268 - Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang:
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. 9269-9277 - Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao:
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems. 9278-9286 - Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu:
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. 9287-9295 - Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang:
RRL: Recommendation Reverse Learning. 9296-9304 - Gengrui Zhang, Yao Wang, Xiaoshuang Chen, Hongyi Qian, Kaiqiao Zhan, Ben Wang:
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution. 9305-9313 - Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge:
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy. 9314-9322 - Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen, Jiahui Jin, Fang Dong:
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph. 9323-9331 - Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen:
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. 9332-9340 - Linhao Zhang, Li Jin, Guangluan Xu, Xiaoyu Li, Cai Xu, Kaiwen Wei, Nayu Liu, Haonan Liu:
CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition. 9341-9349 - Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. 9350-9358 - Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong:
Temporal Graph Contrastive Learning for Sequential Recommendation. 9359-9367 - Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. 9368-9376 - Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu, Zhan Ma:
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding. 9377-9386 - Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan, Rong Xiao, Haihong Tang, Jiajun Ding, Jun Yu:
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. 9387-9395 - Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang:
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. 9396-9404 - Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin:
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. 9405-9413 - Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu:
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. 9414-9421 - Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou:
Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder. 9422-9430 - Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin:
An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. 9431-9439
AAAI Technical Track on Game Theory and Economic Paradigms
- Yasunori Akagi, Naoki Marumo, Takeshi Kurashima:
Analytically Tractable Models for Decision Making under Present Bias. 9441-9450 - Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. 9451-9459 - Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett, Alexandros A. Voudouris:
Improved Metric Distortion via Threshold Approvals. 9460-9468 - Haris Aziz, Xinhang Lu, Mashbat Suzuki, Jeremy Vollen, Toby Walsh:
Fair Lotteries for Participatory Budgeting. 9469-9476 - Haris Aziz, Isaiah Iliffe, Bo Li, Angus Ritossa, Ankang Sun, Mashbat Suzuki:
Envy-Free House Allocation under Uncertain Preferences. 9477-9484 - Ian Ball, James W. Bono, Justin Grana, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins:
Content Filtering with Inattentive Information Consumers. 9485-9493 - Siddharth Barman, Umang Bhaskar, Yeshwant Pandit, Soumyajit Pyne:
Nearly Equitable Allocations beyond Additivity and Monotonicity. 9494-9501 - Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. 9502-9510 - Vittorio Bilò, Cosimo Vinci:
Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling. 9511-9518 - Niclas Boehmer, Markus Brill, Alfonso Cevallos, Jonas Gehrlein, Luis Sánchez Fernández, Ulrike Schmidt-Kraepelin:
Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain. 9519-9527 - Markus Brill, Jannik Peters:
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting. 9528-9536 - Martin Bullinger, René Romen:
Stability in Online Coalition Formation. 9537-9545 - Martin Bullinger, Chris Dong, Patrick Lederer, Clara Mehler:
Participation Incentives in Approval-Based Committee Elections. 9546-9554 - Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo, Chris Schwiegelshohn, Sudarshan Shyam:
Low-Distortion Clustering with Ordinal and Limited Cardinal Information. 9555-9563 - Darshan Chakrabarti, Gabriele Farina, Christian Kroer:
Efficient Learning in Polyhedral Games via Best-Response Oracles. 9564-9572 - Nikhil Chandak, Shashwat Goel, Dominik Peters:
Proportional Aggregation of Preferences for Sequential Decision Making. 9573-9581 - Juhi Chaudhary, Hendrik Molter, Meirav Zehavi:
How to Make Knockout Tournaments More Popular? 9582-9589 - Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni, Ruta Mehta:
1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations. 9590-9597 - Zhaohua Chen, Chang Wang, Qian Wang, Yuqi Pan, Zhuming Shi, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng:
Dynamic Budget Throttling in Repeated Second-Price Auctions. 9598-9606 - Vincent Conitzer:
The Complexity of Computing Robust Mediated Equilibria in Ordinal Games. 9607-9615 - Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl:
Learning Discrete-Time Major-Minor Mean Field Games. 9616-9625 - Michael J. Curry, Vinzenz Thoma, Darshan Chakrabarti, Stephen McAleer, Christian Kroer, Tuomas Sandholm, Niao He, Sven Seuken:
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings. 9626-9635 - Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright:
How to Evaluate Behavioral Models. 9636-9644 - Théo Delemazure, Jérôme Lang, Grzegorz Pierczynski:
Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion. 9645-9652 - Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna, Simon Schierreich:
The Complexity of Fair Division of Indivisible Items with Externalities. 9653-9661 - Xiaotie Deng, Hangxin Gan, Ningyuan Li, Weian Li, Qi Qi:
Competition among Pairwise Lottery Contests. 9662-9669 - Chris Dong, Patrick Lederer:
Refined Characterizations of Approval-Based Committee Scoring Rules. 9670-9678 - Seyed A. Esmaeili, Darshan Chakrabarti, Hayley Grape, Brian Brubach:
Implications of Distance over Redistricting Maps: Central and Outlier Maps. 9679-9687 - Michal Feldman, Simon Mauras, Tomasz Ponitka:
On Optimal Tradeoffs between EFX and Nash Welfare. 9688-9695 - Bailey Flanigan, Jennifer Liang, Ariel D. Procaccia, Sven Wang:
Manipulation-Robust Selection of Citizens' Assemblies. 9696-9703 - Rupert Freeman, Ulrike Schmidt-Kraepelin:
Project-Fair and Truthful Mechanisms for Budget Aggregation. 9704-9712 - Gianluigi Greco, Francesco Scarcello:
Maxileximin Envy Allocations and Connected Goods. 9713-9721 - Svenja M. Griesbach, Martin Hoefer, Max Klimm, Tim Koglin:
Information Design for Congestion Games with Unknown Demand. 9722-9730 - Yue Guan, Mohammad Afshari, Panagiotis Tsiotras:
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing. 9731-9739 - Mingyu Guo:
Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis. 9740-9748 - Sushmita Gupta, Ramanujan Sridharan, Peter Strulo:
An Exercise in Tournament Design: When Some Matches Must Be Scheduled. 9749-9756 - Mohammad Hajiaghayi, Mohammad Mahdavi, Keivan Rezaei, Suho Shin:
Regret Analysis of Repeated Delegated Choice. 9757-9764 - Haoqiang Huang, Zihe Wang, Zhide Wei, Jie Zhang:
Cost Minimization for Equilibrium Transition. 9765-9772 - Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong, Sheung Man Yuen:
Reachability of Fair Allocations via Sequential Exchanges. 9773-9780 - Ayumi Igarashi, Martin Lackner, Oliviero Nardi, Arianna Novaro:
Repeated Fair Allocation of Indivisible Items. 9781-9789 - Aviram Imber, Jonas Israel, Markus Brill, Hadas Shachnai, Benny Kimelfeld:
Spatial Voting with Incomplete Voter Information. 9790-9797 - Pallavi Jain, Rohit Vaish:
Maximizing Nash Social Welfare under Two-Sided Preferences. 9798-9806 - Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee, Kiho Yoon:
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment. 9807-9814 - Yusuf Hakan Kalayci, David Kempe, Vikram Kher:
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection. 9815-9823 - Yasushi Kawase, Kazuhisa Makino, Hanna Sumita, Akihisa Tamura, Makoto Yokoo:
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations. 9824-9831 - Jiaqian Li, Minming Li, Hau Chan:
Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems. 9832-9839 - Junkang Li, Bruno Zanuttini, Véronique Ventos:
Opponent-Model Search in Games with Incomplete Information. 9840-9847 - Miao Li, Yuhan Cao, Dengji Zhao:
Double Auction on Diffusion Network. 9848-9855 - Taylor Lundy, Narun Raman, Hu Fu, Kevin Leyton-Brown:
Pay to (Not) Play: Monetizing Impatience in Mobile Games. 9856-9864 - Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong, Nicholas Teh:
Weighted Envy-Freeness for Submodular Valuations. 9865-9873 - Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas:
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints. 9874-9882 - Adam Richardson, Boi Faltings:
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization. 9883-9890 - Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken:
Machine Learning-Powered Combinatorial Clock Auction. 9891-9900 - Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami:
Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements. 9901-9908 - Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg:
The Moderating Effect of Instant Runoff Voting. 9909-9917 - Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind:
Unravelling Expressive Delegations: Complexity and Normative Analysis. 9918-9925 - Yujia Wang, Haoran Yu:
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning. 9926-9934 - Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang:
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms. 9935-9943 - Yixuan Even Xu, Chun Kai Ling, Fei Fang:
Learning Coalition Structures with Games. 9944-9951 - Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer:
Non-excludable Bilateral Trade between Groups. 9952-9959 - Zongjun Yang, Luofeng Liao, Christian Kroer:
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees. 9960-9968 - Brian Hu Zhang, Tuomas Sandholm:
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria. 9969-9976 - Yichi Zhang, Grant Schoenebeck, Weijie Su:
Eliciting Honest Information from Authors Using Sequential Review. 9977-9984 - Houyu Zhou, Tianze Wei, Biaoshuai Tao, Minming Li:
Fair Allocation of Items in Multiple Regions. 9985-9992 - Houyu Zhou, Hau Chan, Minming Li:
Altruism in Facility Location Problems. 9993-10001
AAAI Technical Track on Humans and AI
- Yotam Amitai, Yael Septon, Ofra Amir:
Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes. 10003-10011 - Lvye Cui, Haoran Yu:
Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions. 10012-10020 - Shiqi Dai, Xuanyu Zhu, Naiqi Li, Tao Dai, Zhi Wang:
Procedural Level Generation with Diffusion Models from a Single Example. 10021-10029 - Kate Donahue, Sreenivas Gollapudi, Kostas Kollias:
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making. 10030-10038 - Dongrui Gao, Haokai Zhang, Pengrui Li, Tian Tang, Shihong Liu, Zhihong Zhou, Shaofei Ying, Ye Zhu, Yongqing Zhang:
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface. 10039-10047 - Dongyu Gong, Xingchen Wan, Dingmin Wang:
Working Memory Capacity of ChatGPT: An Empirical Study. 10048-10056 - Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai:
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild. 10057-10065 - W. Bradley Knox, Stephane Hatgis-Kessell, Sigurdur O. Adalgeirsson, Serena Booth, Anca D. Dragan, Peter Stone, Scott Niekum:
Learning Optimal Advantage from Preferences and Mistaking It for Reward. 10066-10073 - Mingcheng Li, Dingkang Yang, Yuxuan Lei, Shunli Wang, Shuaibing Wang, Liuzhen Su, Kun Yang, Yuzheng Wang, Mingyang Sun, Lihua Zhang:
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities. 10074-10082 - Zhuoyan Li, Zhuoran Lu, Ming Yin:
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making. 10083-10091 - Chenglong Liu, Haoran Wei, Jinze Yang, Jintao Liu, Wenxi Li, Yuchen Guo, Lu Fang:
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images. 10092-10100 - Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao, Yue Gao:
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition. 10101-10109 - Malek Mechergui, Sarath Sreedharan:
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI. 10110-10118 - Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg:
Efficient Online Crowdsourcing with Complex Annotations. 10119-10127 - Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina, Barry-John Theobald:
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It's Complicated. 10128-10136 - Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. 10137-10144 - Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon:
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation. 10145-10154 - Sen Pei, Shixiong Xu, Xiaojie Jin:
Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark. 10155-10163 - Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury:
Sample-Constrained Black Box Optimization for Audio Personalization. 10164-10171 - Idan Toker, David Sarne, Jonathan Schler:
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process. 10172-10179 - Binglu Wang, Chenxi Guo, Yang Jin, Haisheng Xia, Nian Liu:
TransGOP: Transformer-Based Gaze Object Prediction. 10180-10188 - Miaohui Wang, Rong Zhang, Lirong Huang, Yanshan Li:
Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method. 10189-10197 - Tongxin Wang, Mang Ye:
TexFit: Text-Driven Fashion Image Editing with Diffusion Models. 10198-10206 - Devin White, Mingkang Wu, Ellen R. Novoseller, Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao:
Rating-Based Reinforcement Learning. 10207-10215 - Di Wu, Wu Sun, Yi He, Zhong Chen, Xin Luo:
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug-Drug Interaction Prediction. 10216-10224 - Xueyuan Yang, Chao Yao, Xiaojuan Ban:
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics. 10225-10233 - Wenjie Yin, Yi Yu, Hang Yin, Danica Kragic, Mårten Björkman:
Scalable Motion Style Transfer with Constrained Diffusion Generation. 10234-10242 - Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati:
'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation. 10243-10251 - Zhi Zhang, Shenghua Zhong, Yan Liu:
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition. 10252-10260 - Zuozhen Zhang, Junzhong Ji, Jinduo Liu:
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. 10261-10269 - Yun Zhong, Yiannis Demiris:
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting. 10270-10278
Intelligent Robots (ROB)
- Aakash, Indranil Saha:
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time. 10280-10287 - Marcus Gozon, Jingjin Yu:
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles. 10288-10296 - Weiwei Gu, Anant Sah, Nakul Gopalan:
Interactive Visual Task Learning for Robots. 10297-10305 - Jinglue Hang, Xiangbo Lin, Tianqiang Zhu, Xuanheng Li, Rina Wu, Xiaohong Ma, Yi Sun:
DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System. 10306-10313 - Dohyun Kim, Nayoung Oh, Deokmin Hwang, Daehyung Park:
LINGO-Space: Language-Conditioned Incremental Grounding for Space. 10314-10322 - Xiaohan Li, Dong Liu, Jun Wu:
CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM. 10323-10331 - Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Chengzhong Xu:
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. 10332-10340 - Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan, Dongmei Jiang, Chun Yuan:
Deep Homography Estimation for Visual Place Recognition. 10341-10349 - Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick:
Task Planning for Object Rearrangement in Multi-Room Environments. 10350-10357 - Naman Shah, Siddharth Srivastava:
Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention. 10358-10367 - Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao:
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. 10368-10376 - Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. 10377-10385 - Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song:
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. 10386-10394 - Yantian Zha, Lin Guan, Subbarao Kambhampati:
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning. 10395-10403 - Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu:
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization. 10404-10412 - Xiaze Zhang, Ziheng Ding, Qi Jing, Yuejie Zhang, Wenchao Ding, Rui Feng:
DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors. 10413-10421
AAAI Technical Track on Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework. 10423-10432 - Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles:
Approximation Algorithms for Preference Aggregation Using CP-Nets. 10433-10441 - Luca Andolfi, Gianluca Cima, Marco Console, Maurizio Lenzerini:
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases. 10442-10449 - Ofer Arieli, Kees van Berkel, Christian Straßer:
Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation. 10450-10458 - Marco Calautti, Ester Livshits, Andreas Pieris, Markus Schneider:
Computing the Why-Provenance for Datalog Queries via SAT Solvers. 10459-10466 - David M. Cerna, Andrew Cropper:
Generalisation through Negation and Predicate Invention. 10467-10475 - Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider:
Learning Small Decision Trees for Data of Low Rank-Width. 10476-10483 - Federica Di Stefano, Mantas Simkus:
Stable Model Semantics for Description Logic Terminologies. 10484-10492 - Yannis Dimopoulos, Wolfgang Dvorák, Matthias König, Anna Rapberger, Markus Ulbricht, Stefan Woltran:
Redefining ABA+ Semantics via Abstract Set-to-Set Attacks. 10493-10500 - Thorsten Engesser, Andreas Herzig, Elise Perrotin:
Towards Epistemic-Doxastic Planning with Observation and Revision. 10501-10508 - David Fernández-Duque, Yoàv Montacute:
Dynamic Tangled Derivative Logic of Metric Spaces. 10509-10516 - Nicolas Fröhlich, Arne Meier:
Submodel Enumeration for CTL Is Hard. 10517-10524 - Alessandro Gianola, Marco Montali, Sarah Winkler:
Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata. 10525-10534 - Markus Hecher, Rafael Kiesel:
On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? 10535-10543 - Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martínez Galindo, Mykhaylo Zayats, Raúl Fernández-Díaz, Victor Valls, Gabriele Picco, Cesar Berrospi, Vanessa López:
Knowledge Enhanced Representation Learning for Drug Discovery. 10544-10552 - Céline Hocquette, Andreas Niskanen, Matti Järvisalo, Andrew Cropper:
Learning MDL Logic Programs from Noisy Data. 10553-10561 - Petr Illner, Petr Kucera:
A Compiler for Weak Decomposable Negation Normal Form. 10562-10570 - Mohimenul Kabir, Supratik Chakraborty, Kuldeep S. Meel:
Exact ASP Counting with Compact Encodings. 10571-10580 - Christian Kindermann, Anne-Marie George, Bijan Parsia, Uli Sattler:
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond). 10581-10588 - Nadezda Alexandrovna Knorozova, Alessandro Ronca:
On the Expressivity of Recurrent Neural Cascades. 10589-10596 - Francesco Kriegel:
Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis. 10597-10606 - Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague:
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. 10607-10615 - Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Mathias Uta:
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems. 10616-10623 - Yves Lespérance, Giuseppe De Giacomo, Maryam Rostamigiv, Shakil M. Khan:
Abstraction of Situation Calculus Concurrent Game Structures. 10624-10634 - Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik:
Relational Programming with Foundational Models. 10635-10644 - Ke Liang, Lingyuan Meng, Sihang Zhou, Wenxuan Tu, Siwei Wang, Yue Liu, Meng Liu, Long Zhao, Xiangjun Dong, Xinwang Liu:
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs. 10645-10653 - Kuldeep S. Meel, Supratik Chakraborty, S. Akshay:
Auditable Algorithms for Approximate Model Counting. 10654-10661 - Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki, Stefan Szeider:
A General Theoretical Framework for Learning Smallest Interpretable Models. 10662-10669 - Julian Parsert, Elizabeth Polgreen:
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis. 10670-10678 - Andoni Rodríguez, César Sánchez:
Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories. 10679-10686 - Zeynep G. Saribatur, Stefan Woltran:
A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming. 10687-10695 - Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Pierre Marquis:
BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change. 10696-10704 - Yexing Song, Meilin Wang, Zhijing Yang, Xiaoyu Xian, Yukai Shi:
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution. 10705-10713 - Giang V. Trinh, Belaid Benhamou, Samuel Pastva, Sylvain Soliman:
Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming. 10714-10722 - Markus Ulbricht, Nico Potyka, Anna Rapberger, Francesca Toni:
Non-flat ABA Is an Instance of Bipolar Argumentation. 10723-10731 - Zongshun Wang, Yuping Shen:
Bilateral Gradual Semantics for Weighted Argumentation. 10732-10739 - Marco Wilhelm, Gabriele Kern-Isberner:
Decomposing Constraint Networks for Calculating c-Representations. 10740-10747 - Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks:
Optimised Storage for Datalog Reasoning. 10748-10755
AAAI Technical Track on Machine Learning I
- Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis:
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. 10757-10765 - Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens:
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. 10766-10774 - Nimesh Agrawal, Anuj Kumar Sirohi, Sandeep Kumar, Jayadeva:
No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation. 10775-10783 - Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa:
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. 10784-10794 - Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller:
SimCS: Simulation for Domain Incremental Online Continual Segmentation. 10795-10803 - Meshal Alharbi, Mardavij Roozbehani, Munther A. Dahleh:
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge. 10804-10811 - Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci:
Understanding and Improving Optimization in Predictive Coding Networks. 10812-10820 - Hilal AlQuabeh, William de Vazelhes, Bin Gu:
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. 10821-10828 - Patrick Altmeyer, Mojtaba Farmanbar, Arie van Deursen, Cynthia C. S. Liem:
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals. 10829-10837 - Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. 10838-10846 - Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. 10847-10855 - Wenbin An, Feng Tian, Wenkai Shi, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen:
Transfer and Alignment Network for Generalized Category Discovery. 10856-10864 - Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Fluctuation-Based Adaptive Structured Pruning for Large Language Models. 10865-10873 - Yunpyo An, Suyeong Park, Kwang In Kim:
Active Learning Guided by Efficient Surrogate Learners. 10874-10881 - Ziyan An, Taylor T. Johnson, Meiyi Ma:
Formal Logic Enabled Personalized Federated Learning through Property Inference. 10882-10890 - Gautham Anil, Vishnu Vinod, Apurva Narayan:
Generating Universal Adversarial Perturbations for Quantum Classifiers. 10891-10899 - Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu:
Enhancing Training of Spiking Neural Network with Stochastic Latency. 10900-10908 - Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Yun Dong, Yuan Hong, Binghui Wang:
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks. 10909-10917 - Shivvrat Arya, Tahrima Rahman, Vibhav Gogate:
Neural Network Approximators for Marginal MAP in Probabilistic Circuits. 10918-10926 - Vedang Asgaonkar, Aditya Jain, Abir De:
Generator Assisted Mixture of Experts for Feature Acquisition in Batch. 10927-10934 - Johannes Aspman, Georgios Korpas, Jakub Marecek:
Taming Binarized Neural Networks and Mixed-Integer Programs. 10935-10943 - Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli, Orestis Papadigenopoulos, Christos Tzamos:
Contextual Pandora's Box. 10944-10952 - Guy Azran, Mohamad H. Danesh, Stefano V. Albrecht, Sarah Keren:
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning. 10953-10961 - Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella:
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. 10962-10970 - Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. 10971-10979 - Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. 10980-10988 - Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. 10989-10997 - Malyaban Bal, Abhronil Sengupta:
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. 10998-11006 - Wei-Xuan Bao, Yong Rui, Min-Ling Zhang:
Disentangled Partial Label Learning. 11007-11015 - Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue:
Efficient Target Propagation by Deriving Analytical Solution. 11016-11023 - Samyadeep Basu, Shell Xu Hu, Daniela Massiceti, Soheil Feizi:
Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. 11024-11031 - Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach:
TREE-G: Decision Trees Contesting Graph Neural Networks. 11032-11042 - Alexis Bellot, Junzhe Zhang, Elias Bareinboim:
Scores for Learning Discrete Causal Graphs with Unobserved Confounders. 11043-11051 - Yakir Berchenko:
Simplicity Bias in Overparameterized Machine Learning. 11052-11060 - Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann:
Maximizing the Success Probability of Policy Allocations in Online Systems. 11061-11068 - Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya:
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. 11069-11077 - Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang:
MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information. 11078-11086 - Cheng Bian, Xiaoyu Li, Qi Bi, Guangpu Zhu, Jiegeng Lyu, Weile Zhang, Yelei Li, Zijing Zeng:
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure. 11087-11095 - Gagan Biradar, Yacine Izza, Elita Lobo, Vignesh Viswanathan, Yair Zick:
Axiomatic Aggregations of Abductive Explanations. 11096-11104 - Jacopo Bonato, Francesco Pelosin, Luigi Sabetta, Alessandro Nicolosi:
MIND: Multi-Task Incremental Network Distillation. 11105-11113 - David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis:
HyperFast: Instant Classification for Tabular Data. 11114-11123 - Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma:
A Theory of Non-acyclic Generative Flow Networks. 11124-11131 - Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao:
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. 11132-11140 - Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. 11141-11149 - Xu Cai, Jonathan Scarlett:
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization. 11150-11158 - Zicheng Cai, Lei Chen, Peng Liu, Tongtao Ling, Yutao Lai:
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration. 11159-11167 - Meng Cao, Songcan Chen:
Mixup-Induced Domain Extrapolation for Domain Generalization. 11168-11176 - Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Continuous-Time Graph Representation with Sequential Survival Process. 11177-11185 - Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee:
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. 11186-11194 - Ahmad Chamma, Bertrand Thirion, Denis A. Engemann:
Variable Importance in High-Dimensional Settings Requires Grouping. 11195-11203 - T.-H. Hubert Chan, Hao Xie, Mengshi Zhao:
Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions. 11204-11211 - Wonjoon Chang, Dahee Kwon, Jaesik Choi:
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision. 11212-11220 - Guoqing Chao, Yi Jiang, Dianhui Chu:
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding. 11221-11229 - Yassine Chemingui, Aryan Deshwal, Trong Nghia Hoang, Janardhan Rao Doppa:
Offline Model-Based Optimization via Policy-Guided Gradient Search. 11230-11239 - Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao:
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. 11240-11248 - Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang:
Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance. 11249-11257 - Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. 11258-11266 - E. Chen, Yang Cao, Yifei Ge:
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility. 11267-11275 - Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. 11276-11284 - Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. 11285-11293 - Hui Chen, Yinxu Jia, Guanghui Wang, Changliang Zou:
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation. 11294-11301 - Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan:
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need. 11302-11310 - Jiayi Chen, Aidong Zhang:
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. 11311-11319 - Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu:
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. 11320-11328 - Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian:
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models. 11329-11337 - Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi:
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. 11338-11345 - Junren Chen, Zhaoqiang Liu:
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors. 11346-11354 - Liangwei Chen, Xiren Zhou, Huanhuan Chen:
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification. 11355-11363 - Mulin Chen, Bocheng Wang, Xuelong Li:
Deep Contrastive Graph Learning with Clustering-Oriented Guidance. 11364-11372 - Shuo Chen, Jiaying Peng, Xiaolong Li, Yao Zhao:
On the Unstable Convergence Regime of Gradient Descent. 11373-11380 - Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. 11381-11389 - Wentse Chen, Shiyu Huang, Yuan Chiang, Tim Pearce, Wei-Wei Tu, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. 11390-11398 - Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. 11399-11406 - Yang Chen, Xiao Lin, Bo Yan, Libo Zhang, Jiamou Liu, Neset Özkan Tan, Michael Witbrock:
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. 11407-11415 - Yiding Chen, Xuezhou Zhang, Qiaomin Xie, Xiaojin Zhu:
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption. 11416-11424 - Yiming Chen, Haiwei Wu, Jiantao Zhou:
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense. 11425-11433 - Ying-Yu Chen, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang:
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention. 11434-11442 - Yiyue Chen, Haris Vikalo, Chianing Wang:
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity. 11443-11452 - Yuzhou Chen, José Frías, Yulia R. Gel:
TopoGCL: Topological Graph Contrastive Learning. 11453-11461 - Zhiqiang Chen, Yang Chen, Xiaolong Zou, Shan Yu:
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding. 11462-11470 - Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin:
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. 11471-11479 - Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Wentao Gao, Thuc Duy Le:
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders. 11480-11488 - Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang:
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. 11489-11497 - Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen, Eliana Pastor, Ming-Syan Chen:
FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting. 11498-11506 - Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang:
Clarifying the Behavior and the Difficulty of Adversarial Training. 11507-11515 - Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin:
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning. 11516-11524 - Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai:
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series. 11525-11533 - Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei:
Generalized Variational Inference via Optimal Transport. 11534-11542 - Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park:
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations. 11543-11551 - Youngjae Cho, HeeSun Bae, Seungjae Shin, Yeo Dong Youn, Weonyoung Joo, Il-Chul Moon:
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior. 11552-11560 - Jae Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, Yulia R. Gel:
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks. 11561-11569 - Jongwook Choi, Sungtae Lee, Xinyu Wang, Sungryull Sohn, Honglak Lee:
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models. 11570-11578 - Won-Seok Choi, Hyundo Lee, Dong-Sig Han, Junseok Park, Heeyeon Koo, Byoung-Tak Zhang:
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning. 11579-11587 - Wonjeong Choi, Jungwuk Park, Dong-Jun Han, Younghyun Park, Jaekyun Moon:
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration. 11588-11596 - Agniva Chowdhury, Pradeep Ramuhalli:
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression. 11597-11605 - Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram, P. B. Sujit:
Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning. 11606-11614 - Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake:
Lyapunov-Stable Deep Equilibrium Models. 11615-11623 - Xiangxiang Chu, Liang Li, Bo Zhang:
Make RepVGG Greater Again: A Quantization-Aware Approach. 11624-11632 - Zhendong Chu, Renqin Cai, Hongning Wang:
Meta-Reinforcement Learning via Exploratory Task Clustering. 11633-11641 - Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. 11642-11650 - Joseph Clements, Yingjie Lao:
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment. 11651-11659 - Daniel Coelho, Miguel Oliveira, Vitor Santos:
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving. 11660-11668 - Yulai Cong, Sijia Li:
Big Learning Expectation Maximization. 11669-11677 - Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen, Yulia R. Gel:
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence. 11678-11686 - Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang:
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. 11687-11694 - Shuang Cui, Kai Han, He Huang:
Deletion-Robust Submodular Maximization with Knapsack Constraints. 11695-11703 - Zhenyu Cui, Yuxin Peng, Xun Wang, Manyu Zhu, Jiahuan Zhou:
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification. 11704-11712 - Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi:
Inverse Weight-Balancing for Deep Long-Tailed Learning. 11713-11721 - Aram Davtyan, Paolo Favaro:
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation. 11722-11730 - William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu:
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. 11731-11739 - Swakshar Deb, Sejuti Rahman, Shafin Rahman:
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network. 11740-11748 - Jiale Deng, Yanyan Shen:
Self-Interpretable Graph Learning with Sufficient and Necessary Explanations. 11749-11756 - Sen Deng, Yidan Feng, Haoneng Lin, Yiting Fan, Alex Pui-Wai Lee, Xiaowei Hu, Jing Qin:
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting. 11757-11765 - Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer:
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. 11766-11774 - Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez:
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees. 11775-11783 - Yiqun Diao, Qinbin Li, Bingsheng He:
Exploiting Label Skews in Federated Learning with Model Concatenation. 11784-11792 - Xiaojian Ding, Fan Yang:
Multi-View Randomized Kernel Classification via Nonconvex Optimization. 11793-11801 - Xin Ding, Yongwei Wang, Zuheng Xu:
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks. 11802-11810 - Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao:
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks. 11811-11819 - Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang:
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection. 11820-11828 - Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. 11829-11837 - Béni Egressy, Luc von Niederhäusern, Jovan Blanusa, Erik Altman, Roger Wattenhofer, Kubilay Atasu:
Provably Powerful Graph Neural Networks for Directed Multigraphs. 11838-11846 - Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi:
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. 11847-11855 - Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Pérez, Ard A. Louis:
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes. 11856-11864
AAAI Technical Track on Machine Learning II
- Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti:
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. 11866-11873 - Moshe Eliasof, Eldad Haber, Eran Treister:
Feature Transportation Improves Graph Neural Networks. 11874-11882 - Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe:
Exact Inference for Continuous-Time Gaussian Process Dynamics. 11883-11891 - Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe:
Learning Hybrid Dynamics Models with Simulator-Informed Latent States. 11892-11900 - Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky:
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. 11901-11909 - Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar:
Non-parametric Representation Learning with Kernels. 11910-11918 - Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. 11919-11926 - Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu:
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. 11927-11935 - Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu:
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. 11936-11943 - Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. 11944-11952 - Yujie Fang, Xin Li, Qianyu Chen, Mingzhong Wang:
Improving GNN Calibration with Discriminative Ability: Insights and Strategies. 11953-11960 - Jiaheng Feng, Mingxiao Feng, Haolin Song, Wengang Zhou, Houqiang Li:
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning. 11961-11969 - Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin:
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning. 11970-11978 - Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao:
Latent Diffusion Transformer for Probabilistic Time Series Forecasting. 11979-11987 - Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong:
Partial Multi-View Clustering via Self-Supervised Network. 11988-11995 - Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci:
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models. 11996-12005 - Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina:
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. 12006-12015 - Dana Fisman, Noa Izsak, Swen Jacobs:
Learning Broadcast Protocols. 12016-12023 - Manon Flageat, Bryan Lim, Antoine Cully:
Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms. 12024-12032 - Kei Sen Fong, Mehul Motani:
Symbolic Regression Enhanced Decision Trees for Classification Tasks. 12033-12042 - Jack Foster, Stefan Schoepf, Alexandra Brintrup:
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening. 12043-12051 - Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal:
Combinatorial Stochastic-Greedy Bandit. 12052-12060 - Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li:
REGLO: Provable Neural Network Repair for Global Robustness Properties. 12061-12071 - Minghan Fu, Fang-Xiang Wu:
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. 12072-12081 - Minghao Fu, Ke Zhu, Jianxin Wu:
DTL: Disentangled Transfer Learning for Visual Recognition. 12082-12090 - Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang:
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. 12091-12099 - Harmender Gahlawat, Meirav Zehavi:
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective. 12100-12108 - Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta:
Online Sensitivity Optimization in Differentially Private Learning. 12109-12117 - Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah, Heng Huang:
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold. 12118-12126 - Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu:
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. 12127-12135 - Ge Gao, Xi Yang, Min Chi:
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. 12136-12144 - Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. 12145-12154 - Shengyi Gao, Zhe Chen, Guo Chen, Wenhai Wang, Tong Lu:
AVSegFormer: Audio-Visual Segmentation with Transformer. 12155-12163 - Anne-Marie George, Christos Dimitrakakis:
Eliciting Kemeny Rankings. 12164-12171 - Joseph Giovanelli, Alexander Tornede, Tanja Tornede, Marius Lindauer:
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning. 12172-12180 - Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu:
Layer Compression of Deep Networks with Straight Flows. 12181-12189 - Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu:
Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. 12190-12198 - Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel:
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction. 12199-12207 - Andreas Grivas, Antonio Vergari, Adam Lopez:
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification. 12208-12216 - Jianyang Gu, Kai Wang, Wei Jiang, Yang You:
Summarizing Stream Data for Memory-Constrained Online Continual Learning. 12217-12225 - Anchun Gui, Jinqiang Ye, Han Xiao:
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks. 12226-12234 - Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li:
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. 12235-12243 - Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma:
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. 12244-12252 - Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. 12253-12260 - Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee:
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability. 12261-12269 - Qi Han, Li Zhu, Fei Guo:
Forced Exploration in Bandit Problems. 12270-12277 - Teemu Hankala, Miika Hannula, Juha Kontinen, Jonni Virtema:
Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions. 12278-12285 - Guang-Yuan Hao, Hengguan Huang, Haotian Wang, Jie Gao, Hao Wang:
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees. 12286-12294 - Pingting Hao, Kunpeng Liu, Wanfu Gao:
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning. 12295-12303 - Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng:
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. 12304-12312 - Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. 12313-12321 - Wael Hassanieh, Abdallah Chehade:
Selective Deep Autoencoder for Unsupervised Feature Selection. 12322-12330 - Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer:
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. 12331-12339 - Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng:
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. 12340-12348 - Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng:
Improving Distinguishability of Class for Graph Neural Networks. 12349-12357 - Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao:
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. 12358-12366 - Hongyi He, Longjun Liu, Haonan Zhang, Nanning Zheng:
IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance. 12367-12375 - Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. 12376-12384 - Jiujun He, Bin Liu, Guosheng Yin:
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling. 12385-12393 - Liang He, Yunan Lu, Weiwei Li, Xiuyi Jia:
Generative Calibration of Inaccurate Annotation for Label Distribution Learning. 12394-12401 - Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong:
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. 12402-12410 - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye, Zhi-Hua Zhou:
Learning Only When It Matters: Cost-Aware Long-Tailed Classification. 12411-12420 - Yuhang He, Zhuangzhuang Dai, Niki Trigoni, Long Chen, Andrew Markham:
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network. 12421-12429 - Zhimin He, Maijie Deng, Shenggen Zheng, Lvzhou Li, Haozhen Situ:
Training-Free Quantum Architecture Search. 12430-12438 - Huy Hoang, Tien Mai, Pradeep Varakantham:
Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. 12439-12447 - Minh Hoang, Trong Nghia Hoang:
Few-Shot Learning via Repurposing Ensemble of Black-Box Models. 12448-12455 - Van Thuy Hoang, O-Joun Lee:
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity. 12456-12465 - Jakob J. Hollenstein, Georg Martius, Justus H. Piater:
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling. 12466-12472 - Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho, Jaesung Ahn, Junmo Kim:
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective. 12473-12481 - Snir Hordan, Tal Amir, Steven J. Gortler, Nadav Dym:
Complete Neural Networks for Complete Euclidean Graphs. 12482-12490 - Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu:
Structured Probabilistic Coding. 12491-12501 - François Hu, Philipp Ratz, Arthur Charpentier:
A Sequentially Fair Mechanism for Multiple Sensitive Attributes. 12502-12510 - Jian Hu, Jiayi Lin, Shaogang Gong, Weitong Cai:
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects. 12511-12518 - Kun Hu, Wenjing Yang, Wanrong Huang, Xianchen Zhou, Mingyu Cao, Jing Ren, Huibin Tan:
Sequential Fusion Based Multi-Granularity Consistency for Space-Time Transformer Tracking. 12519-12527 - Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu:
FedMut: Generalized Federated Learning via Stochastic Mutation. 12528-12537 - Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong:
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. 12538-12546 - Tianmeng Hu, Biao Luo:
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning. 12547-12555 - Wenbo Hu, Hongjian Zhan, Xinchen Ma, Yue Lu, Ching Y. Suen:
Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes. 12556-12564 - Zexin Hu, Kun Hu, Clinton Mo, Lei Pan, Zhiyong Wang:
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance. 12565-12573 - Hao Huang, Tapan Shah, Scott Evans, Shinjae Yoo:
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration. 12574-12582 - Junyu Huang, Qilong Feng, Jiahui Wang, Ziyun Huang, Jinhui Xu, Jianxin Wang:
SEC: More Accurate Clustering Algorithm via Structural Entropy. 12583-12590 - Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu:
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. 12591-12599 - Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho, I-Chen Wu:
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping. 12600-12607 - Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou, Yang Wang:
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting. 12608-12616 - Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang:
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks. 12617-12625 - Rundong Huang, Farhad Shirani, Dongsheng Luo:
Factorized Explainer for Graph Neural Networks. 12626-12634 - Xiaobin Huang, Lei Song, Ke Xue, Chao Qian:
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. 12635-12643 - Xiaolong Huang, Qiankun Li, Xueran Li, Xuesong Gao:
One Step Learning, One Step Review. 12644-12652 - Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü:
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes. 12653-12661 - Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. 12662-12670 - Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang:
Binding-Adaptive Diffusion Models for Structure-Based Drug Design. 12671-12679 - Tim Huisman, Jacobus G. M. van der Linden, Emir Demirovic:
Optimal Survival Trees: A Dynamic Programming Approach. 12680-12688 - Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu:
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. 12689-12697 - Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan:
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. 12698-12707 - Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem. 12708-12716 - Rashidul Islam, Huiyuan Chen, Yiwei Cai:
Fairness without Demographics through Shared Latent Space-Based Debiasing. 12717-12725 - Andrei Ivanov, Stefan Maria Ailuro:
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization. 12726-12734 - Dmitry Ivanov, Omer Ben-Porat:
Personalized Reinforcement Learning with a Budget of Policies. 12735-12743 - Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva:
Delivering Inflated Explanations. 12744-12753 - Yesukhei Jagvaral, François Lanusse, Rachel Mandelbaum:
Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics. 12754-12762 - Abhinav Jain, Vaibhav V. Unhelkar:
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. 12763-12772 - Nishant Jain, Pradeep Shenoy:
Instance-Conditional Timescales of Decay for Non-Stationary Learning. 12773-12781 - Ragesh Jaiswal, Amit Kumar:
Universal Weak Coreset. 12782-12789 - Kasra Jalaldoust, Elias Bareinboim:
Transportable Representations for Domain Generalization. 12790-12800 - Amit Jena, Dileep Kalathil, Le Xie:
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems. 12801-12809 - Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. 12810-12820 - Shulei Ji, Xinyu Yang:
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion. 12821-12829 - Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu:
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. 12830-12838 - Yuwen Ji, Lei Shi, Zhimeng Liu, Ge Wang:
Stratified GNN Explanations through Sufficient Expansion. 12839-12847 - Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou:
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing. 12848-12856 - Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang:
Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation. 12857-12865 - Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng:
Which Is More Effective in Label Noise Cleaning, Correction or Filtering? 12866-12873 - Haoran Jiang, Zhihao Sun, Yingjie Tian:
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. 12874-12882 - Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang:
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. 12883-12891 - Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma:
FMRNet: Image Deraining via Frequency Mutual Revision. 12892-12900 - Nan Jiang, Yexiang Xue:
Racing Control Variable Genetic Programming for Symbolic Regression. 12901-12909 - Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao:
Learning Diverse Risk Preferences in Population-Based Self-Play. 12910-12918 - Zhangqi Jiang, Tingjin Luo, Xinyan Liang:
Deep Incomplete Multi-View Learning Network with Insufficient Label Information. 12919-12927 - Yang Jiao, Kai Yang, Tiancheng Wu, Chengtao Jian, Jianwei Huang:
Provably Convergent Federated Trilevel Learning. 12928-12937 - Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu:
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. 12938-12946 - Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang:
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. 12947-12955 - Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu:
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. 12956-12964 - Yufei Jin, Richard Gao, Yi He, Xingquan Zhu:
GLDL: Graph Label Distribution Learning. 12965-12974
AAAI Technical Track on Machine Learning III
- Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
Sterling: Synergistic Representation Learning on Bipartite Graphs. 12976-12984 - Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han:
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. 12985-12994 - Harshit Joshi, Abishai Ebenezer, José Pablo Cambronero Sánchez, Sumit Gulwani, Aditya Kanade, Vu Le, Ivan Radicek, Gust Verbruggen:
FLAME: A Small Language Model for Spreadsheet Formulas. 12995-13003 - Shalmali Joshi, Junzhe Zhang, Elias Bareinboim:
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. 13004-13012 - Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Patch-Wise Graph Contrastive Learning for Image Translation. 13013-13021 - Andrew B. Kahng, Robert R. Nerem, Yusu Wang, Chien-Yi Yang:
NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem. 13022-13030 - Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi:
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. 13031-13039 - Haneol Kang, Dong-Wan Choi:
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model. 13040-13048 - Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay:
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. 13049-13058 - Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky, Hongrui Wang, Alfredo Núñez, Rolf P. B. J. Dollevoet:
Neural Oscillators for Generalization of Physics-Informed Machine Learning. 13059-13067 - Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lécué, Daniele Magazzeni:
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features. 13068-13075 - Nikolai Karpov, Qin Zhang:
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits. 13076-13084 - Amirreza Kazemi, Martin Ester:
Adversarially Balanced Representation for Continuous Treatment Effect Estimation. 13085-13093 - Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuenté, Alexandre Termier:
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. 13094-13103 - Dongha Kim, Yongchan Choi, Kunwoong Kim, Ilsang Ohn, Yongdai Kim:
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples. 13104-13112 - Dongmin Kim, Sunghyun Park, Jaegul Choo:
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. 13113-13121 - Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. 13122-13131 - Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo, Hong-Seok Kim:
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization. 13132-13141 - Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee:
Curved Representation Space of Vision Transformers. 13142-13150 - Kwang In Kim:
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds. 13151-13159 - Sungyoon Kim, Yunseon Choi, Daiki E. Matsunaga, Kee-Eung Kim:
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL. 13160-13167 - Taehoon Kim, Jaeyoo Park, Bohyung Han:
Cross-Class Feature Augmentation for Class Incremental Learning. 13168-13176 - Woo Kyung Kim, Minjong Yoo, Honguk Woo:
Robust Policy Learning via Offline Skill Diffusion. 13177-13184 - Woosung Kim, Donghyeon Ki, Byung-Jun Lee:
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization. 13185-13192 - Young-Jin Kim, Min-Jun Kim, Kyunghwan An, Jinwoo Ahn, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Eun-Sol Kim:
Structure-Aware Multimodal Sequential Learning for Visual Dialog. 13193-13201 - Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld:
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams. 13202-13210 - Kathryn E. Kirchoff, Travis Maxfield, Alexander Tropsha, Shawn M. Gomez:
SALSA: Semantically-Aware Latent Space Autoencoder. 13211-13219 - Ben A. Kizaric, Daniel L. Pimentel-Alarcón:
Principle Component Trees and Their Persistent Homology. 13220-13229 - Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen:
Pantypes: Diverse Representatives for Self-Explainable Models. 13230-13237 - Masahiro Kohjima:
Shuffled Deep Regression. 13238-13245 - Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik, Eyke Hüllermeier:
Approximating the Shapley Value without Marginal Contributions. 13246-13255 - Fang Kong, Shuai Li:
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility. 13256-13264 - Heejo Kong, Suneung Kim, Ho-Joong Kim, Seong-Whan Lee:
Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data. 13265-13273 - Atli Kosson, Dongyang Fan, Martin Jaggi:
Ghost Noise for Regularizing Deep Neural Networks. 13274-13282 - Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara:
Zero-Shot Task Adaptation with Relevant Feature Information. 13283-13291 - Anastasia Kurmukova, Deniz Gündüz:
Friendly Attacks to Improve Channel Coding Reliability. 13292-13300 - Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong, Yang Qi, Xing Wei:
Evolving Parameterized Prompt Memory for Continual Learning. 13301-13309 - Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha:
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer. 13310-13319 - Ella Lan:
HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals. 13320-13327 - Guipeng Lan, Shuai Xiao, Jiachen Yang, Jiabao Wen:
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality. 13328-13336 - Linh Le, Genghong Zhao, Xia Zhang, Guido Zuccon, Gianluca Demartini:
CoLAL: Co-learning Active Learning for Text Classification. 13337-13345 - Byung Hyun Lee, Min-hwan Oh, Se Young Chun:
Doubly Perturbed Task Free Continual Learning. 13346-13354 - Changhun Lee, Jungyu Jin, Taesu Kim, Hyungjun Kim, Eunhyeok Park:
OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. 13355-13364 - Danyeong Lee, Dohoon Lee, Dongmin Bang, Sun Kim:
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization. 13365-13373 - Dongjin Lee, Juho Lee, Kijung Shin:
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs. 13374-13382 - Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama:
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models. 13383-13390 - Joongkyu Lee, Seung Joon Park, Yunhao Tang, Min-hwan Oh:
Learning Uncertainty-Aware Temporally-Extended Actions. 13391-13399 - Junhoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak:
Any-Way Meta Learning. 13400-13408 - Kyungbok Lee, Myunghee Cho Paik, Min-hwan Oh, Gi-Soo Kim:
Mixed-Effects Contextual Bandits. 13409-13417 - Sangho Lee, Hayun Lee, Dongkun Shin:
Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens. 13418-13426 - Yunsung Lee, JinYoung Kim, Hyojun Go, Myeongho Jeong, Shinhyeok Oh, Seungtaek Choi:
Multi-Architecture Multi-Expert Diffusion Models. 13427-13436 - Bingheng Li, Erlin Pan, Zhao Kang:
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering. 13437-13445 - Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
All Beings Are Equal in Open Set Recognition. 13446-13454 - Chen Li, Yoshihiro Yamanishi:
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles. 13455-13463 - Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng:
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding. 13464-13473 - Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou:
Regroup Median Loss for Combating Label Noise. 13474-13482 - Fuhao Li, Ziyang Gong, Yupeng Deng, Xianzheng Ma, Renrui Zhang, Zhenming Ji, Xiangwei Zhu, Hong Zhang:
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency. 13483-13491 - Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong:
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation. 13492-13499 - Jian Li, Yong Liu, Weiping Wang:
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm. 13500-13508 - Jian Li, Yong Liu, Weiping Wang:
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning. 13509-13517 - Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. 13518-13527 - Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu:
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs. 13528-13536 - Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia:
Tensorized Label Learning on Anchor Graph. 13537-13544 - Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. 13545-13553 - Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang:
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. 13554-13562 - Lan Li, Bowen Tao, Lu Han, De-Chuan Zhan, Han-Jia Ye:
Twice Class Bias Correction for Imbalanced Semi-supervised Learning. 13563-13571 - Long-Fei Li, Peng Zhao, Zhi-Hua Zhou:
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. 13572-13580 - Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang:
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. 13581-13589 - Mingxin Li, Richong Zhang, Zhijie Nie, Yongyi Mao:
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model. 13590-13599 - Shengrui Li, Xueting Han, Jing Bai:
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. 13600-13608 - Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma:
Robust Visual Imitation Learning with Inverse Dynamics Representations. 13609-13618 - Tianchun Li, Chengxiang Wu, Pengyi Shi, Xiaoqian Wang:
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow. 13619-13627 - Wenjie Li, Qifan Song, Jean Honorio, Guang Lin:
Federated X-armed Bandit. 13628-13636 - Wenjun Li, Pradeep Varakantham:
Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training. 13637-13645 - Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li:
Image Content Generation with Causal Reasoning. 13646-13654 - Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. 13655-13663 - Xinshu Li, Lina Yao:
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. 13664-13672 - Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu:
Agile Multi-Source-Free Domain Adaptation. 13673-13681 - Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. 13682-13690 - Ye Li, Ting Du, Yiwen Pang, Zhongyi Huang:
Component Fourier Neural Operator for Singularly Perturbed Differential Equations. 13691-13699 - Yujie Li, Xin Yang, Hao Wang, Xiangkun Wang, Tianrui Li:
Learning to Prompt Knowledge Transfer for Open-World Continual Learning. 13700-13708 - Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. 13709-13717 - Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen:
Backpropagation Through Agents. 13718-13726 - Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang:
Multi-Granularity Causal Structure Learning. 13727-13735 - Junjie Liang, Weijieying Ren, Hanifi Sahar, Vasant G. Honavar:
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data. 13736-13743 - Meiyu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang, Zhe Xue:
Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search. 13744-13753 - Xinyan Liang, Pinhan Fu, Qian Guo, Keyin Zheng, Yuhua Qian:
DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification. 13754-13762 - Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, Jiarong Xu:
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks. 13763-13771 - Yufan Liao, Qi Wu, Xing Yan:
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization. 13772-13781 - Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang:
Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound. 13782-13789 - Zhanfeng Liao, Yan Liu, Qian Zheng, Gang Pan:
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation. 13790-13798 - Julian Lienen, Eyke Hüllermeier:
Mitigating Label Noise through Data Ambiguation. 13799-13807 - Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu:
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. 13808-13816 - Jimmy Lin, Junkai Li, Jiasi Gao, Weizhi Ma, Yang Liu:
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification. 13817-13825 - Qiuzhen Lin, Yangfan Chen, Lijia Ma, Wei-Neng Chen, Jianqiang Li:
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation. 13826-13836 - Wei Lin, Xu Peng, Zhengtao Yu, Taisong Jin:
Hypergraph Neural Architecture Search. 13837-13845 - Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang:
Scaling Few-Shot Learning for the Open World. 13846-13854 - Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou:
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks. 13855-13863 - Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu:
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. 13864-13872 - Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley:
Learning Temporal Resolution in Spectrogram for Audio Classification. 13873-13881 - I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Language-Guided Transformer for Federated Multi-Label Classification. 13882-13890 - Ji Liu, Dehua Tang, Yuanxian Huang, Li Zhang, Xiaocheng Zeng, Dong Li, Mingjie Lu, Jinzhang Peng, Yu Wang, Fan Jiang, Lu Tian, Ashish Sirasao:
UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer. 13891-13899 - Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. 13900-13908 - Jian-Dong Liu, Zhi-Hao Tan, Zhi-Hua Zhou:
Towards Making Learnware Specification and Market Evolvable. 13909-13917 - Jiexi Liu, Songcan Chen:
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. 13918-13926 - Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu:
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. 13927-13935 - Jinsong Liu, Chenghan Xie, Qi Deng, Dongdong Ge, Yinyu Ye:
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes. 13936-13944 - Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang:
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. 13945-13953 - Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun:
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. 13954-13962 - Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu:
Rethinking Propagation for Unsupervised Graph Domain Adaptation. 13963-13971 - Mengpu Liu, Mengying Zhu, Xiuyuan Wang, Guofang Ma, Jianwei Yin, Xiaolin Zheng:
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction. 13972-13980 - Qingsong Liu, Zhixuan Fang:
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits. 13981-13989 - Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang:
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network. 13990-13998 - Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation. 13999-14007 - Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu:
RPSC: Robust Pseudo-Labeling for Semantic Clustering. 14008-14016 - Suyuan Liu, Junpu Zhang, Yi Wen, Xihong Yang, Siwei Wang, Yi Zhang, En Zhu, Chang Tang, Long Zhao, Xinwang Liu:
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering. 14017-14025 - Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao:
UFDA: Universal Federated Domain Adaptation with Practical Assumptions. 14026-14034 - Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang:
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype. 14035-14043 - Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. 14044-14051 - Yu Liu, Guihe Qin, Haipeng Chen, Zhiyong Cheng, Xun Yang:
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval. 14052-14060 - Yuhang Liu, Daowan Peng, Wei Wei, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen:
Detection-Based Intermediate Supervision for Visual Question Answering. 14061-14068 - Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang:
Text Diffusion with Reinforced Conditioning. 14069-14077
AAAI Technical Track on Machine Learning IV
- Zhen Liu, Wenbin Pei, Disen Lan, Qianli Ma:
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification. 14079-14087 - Zhuanghua Liu, Bryan Kian Hsiang Low:
Decentralized Sum-of-Nonconvex Optimization. 14088-14096 - Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low:
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates. 14097-14105 - Zichen Liu, Hongbo Sun, Yuxin Peng, Jiahuan Zhou:
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation. 14106-14114 - Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao:
Backdoor Attacks via Machine Unlearning. 14115-14123 - Michael J. Livanos, Ian Davidson, Stephen Wong:
Cooperative Knowledge Distillation: A Learner Agnostic Approach. 14124-14131 - Sheng Long, Wei Tao, Shuohao Li, Jun Lei, Jun Zhang:
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks. 14132-14140 - Guy Lorberbom, Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan:
Layer Collaboration in the Forward-Forward Algorithm. 14141-14148 - Feng Lu, Wei Li, Yifei Sun, Cheng Song, Yufei Ren, Albert Y. Zomaya:
CGS-Mask: Making Time Series Predictions Intuitive for All. 14149-14157 - Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. 14158-14166 - Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang:
UniADS: Universal Architecture-Distiller Search for Distillation Gap. 14167-14174 - Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin:
NodeMixup: Tackling Under-Reaching for Graph Neural Networks. 14175-14183 - Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Federated Learning with Extremely Noisy Clients via Negative Distillation. 14184-14192 - Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng:
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks. 14193-14201 - Yongfan Lu, Bingdong Li, Aimin Zhou:
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization. 14202-14210 - Zhuqiang Lu, Kun Hu, Chaoyue Wang, Lei Bai, Zhiyong Wang:
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation. 14211-14219 - Nicholas Lui, Bryan Chia, William Berrios, Candace Ross, Douwe Kiela:
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision. 14220-14228 - Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu:
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning. 14229-14237 - Jianfei Ma:
Discerning Temporal Difference Learning. 14238-14245 - Lianbo Ma, Yuee Zhou, Jianlun Ma, Guo Yu, Qing Li:
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training. 14246-14254 - Xiang Ma, Xuemei Li, Lexin Fang, Tianlong Zhao, Caiming Zhang:
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting. 14255-14262 - Yingfan Ma, Xiaoyuan Luo, Kexue Fu, Manning Wang:
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification. 14263-14271 - Yuting Ma, Yuanzhi Yao, Xiaohua Xu:
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning. 14272-14280 - Louis Mahon, Thomas Lukasiewicz:
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. 14281-14288 - Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya:
Simple Weak Coresets for Non-decomposable Classification Measures. 14289-14296 - Mikolaj Malkinski, Jacek Mandziuk:
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems. 14297-14305 - Francesca Mandel, Ian Barnett:
Permutation-Based Hypothesis Testing for Neural Networks. 14306-14314 - Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi, Giuseppe Urso, Nicola Gatti, Marcello Restelli:
Online Markov Decision Processes Configuration with Continuous Decision Space. 14315-14322 - Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt:
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent. 14323-14331 - Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie:
Optimal Attack and Defense for Reinforcement Learning. 14332-14340 - Xiangming Meng, Yoshiyuki Kabashima:
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models. 14341-14349 - Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. 14350-14358 - Umberto Michieli, Mete Ozay:
HOP to the Next Tasks and Domains for Continual Learning in NLP. 14359-14369 - Zeping Min, Jinfeng Bai, Chengfei Li:
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning. 14370-14378 - Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H. Davel:
Input Margins Can Predict Generalization Too. 14379-14387 - Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier:
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. 14388-14396 - Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi:
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. 14397-14404 - Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao:
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. 14405-14413 - Shintaro Nakamura, Masashi Sugiyama:
Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. 14414-14421 - Md. Nasim, Yexiang Xue:
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains. 14422-14430 - Adil Nawaz, Guopeng Chen, Muhammad Umair Raza, Zahid Iqbal, Jianqiang Li, Victor C. M. Leung, Jie Chen:
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption. 14431-14439 - David D. Nguyen, David Liebowitz, Salil S. Kanhere, Surya Nepal:
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions. 14440-14448 - Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran:
On Inference Stability for Diffusion Models. 14449-14456 - Buqing Nie, Jingtian Ji, Yangqing Fu, Yue Gao:
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks. 14457-14465 - Feiping Nie, Zhezheng Hao, Rong Wang:
Multi-Class Support Vector Machine with Maximizing Minimum Margin. 14466-14473 - Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada:
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. 14474-14481 - Tom Overman, Garrett Blum, Diego Klabjan:
A Primal-Dual Algorithm for Hybrid Federated Learning. 14482-14489 - Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-Objective Bayesian Optimization with Active Preference Learning. 14490-14498 - Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang:
Towards Fair Graph Federated Learning via Incentive Mechanisms. 14499-14507 - Liming Pan, Cheng Shi, Ivan Dokmanic:
A Graph Dynamics Prior for Relational Inference. 14508-14516 - Zherong Pan, Xifeng Gao, Kui Wu:
Learning Reduced Fluid Dynamics. 14517-14526 - Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao:
FedLF: Layer-Wise Fair Federated Learning. 14527-14535 - Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou, Theocharis Theocharides:
Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm. 14536-14544 - Mincheol Park, Dongjin Kim, Cheonjun Park, Yuna Park, Gyeong Eun Gong, Won Woo Ro, Suhyun Kim:
REPrune: Channel Pruning via Kernel Representative Selection. 14545-14553 - Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. 14554-14562 - Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska:
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems. 14563-14571 - Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan:
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. 14572-14580 - Cheng Peng, Ke Chen, Lidan Shou, Gang Chen:
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition. 14581-14589 - Cheng Peng, Ke Chen, Lidan Shou, Gang Chen:
Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection. 14590-14598 - Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li:
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. 14599-14607 - Maximilian Pflueger, David Tena Cucala, Egor V. Kostylev:
Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic. 14608-14616 - Vincent Pisztora, Jia Li:
Learning Performance Maximizing Ensembles with Explainability Guarantees. 14617-14624 - Drago Plecko, Elias Bareinboim:
Reconciling Predictive and Statistical Parity: A Causal Approach. 14625-14632 - Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He:
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. 14633-14641 - Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou:
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. 14642-14650 - Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. 14651-14659 - Xiaowei Qian, Bingheng Li, Zhao Kang:
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering. 14660-14668 - Molei Qin, Shuo Sun, Wentao Zhang, Haochong Xia, Xinrun Wang, Bo An:
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. 14669-14676 - Zhen Qin, Feiyi Chen, Chen Zhi, Xueqiang Yan, Shuiguang Deng:
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. 14677-14685 - Jiahao Qiu, Hui Yuan, Jinghong Zhang, Wentao Chen, Huazheng Wang, Mengdi Wang:
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization. 14686-14694 - Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-Level Cross-Modal Alignment for Image Clustering. 14695-14703 - Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji:
Integer Is Enough: When Vertical Federated Learning Meets Rounding. 14704-14712 - Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao:
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition. 14713-14721 - Zirou Qiu, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Learning the Topology and Behavior of Discrete Dynamical Systems. 14722-14730 - Jiahui Qu, Yuanbo Yang, Wenqian Dong, Yufei Yang:
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities. 14731-14739 - Xiaofan Que, Qi Yu:
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. 14740-14748 - Victor Quétu, Enzo Tartaglione:
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? 14749-14757 - Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu:
Fair Participation via Sequential Policies. 14758-14766 - Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal, C. V. Jawahar, Vinay P. Namboodiri:
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data. 14767-14775 - Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge:
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. 14776-14784 - Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda:
Using Stratified Sampling to Improve LIME Image Explanations. 14785-14792 - Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian:
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation. 14793-14801 - Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin Godfrey L, Varshaneya V, Vineeth N. Balasubramanian, Satyanarayan Kar:
Towards Learning and Explaining Indirect Causal Effects in Neural Networks. 14802-14810 - Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua:
Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation. 14811-14819 - Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff:
Statistical Spatially Inhomogeneous Diffusion Inference. 14820-14828 - Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling:
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. 14829-14837 - Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak:
Limitations of Face Image Generation. 14838-14846 - Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. 14847-14856 - Hyun Ryu, Sunjae Yoon, Hee Suk Yoon, Eunseop Yoon, Chang D. Yoo:
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation. 14857-14865 - Augusto Santos, Diogo Rente, Rui Seabra, José M. F. Moura:
Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise. 14866-14874 - Pritam Sarkar, Ali Etemad:
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning. 14875-14885 - Johannes Schneider, Mohit Prabhushankar:
Understanding and Leveraging the Learning Phases of Neural Networks. 14886-14893 - Caleb Schultz Kisby, Saúl A. Blanco, Lawrence S. Moss:
What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning. 14894-14901 - Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe:
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize. 14902-14909 - Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva:
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. 14910-14918 - Dravyansh Sharma:
No Internal Regret with Non-convex Loss Functions. 14919-14927 - Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou:
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. 14928-14936 - Zhecheng Sheng, Tianhao Zhang, Chen Jiang, Dongyeop Kang:
BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence. 14937-14945 - Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng:
Building Variable-Sized Models via Learngene Pool. 14946-14954 - Jiangming Shi, Shanshan Zheng, Xiangbo Yin, Yang Lu, Yuan Xie, Yanyun Qu:
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data. 14955-14963 - Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou:
Structural Information Enhanced Graph Representation for Link Prediction. 14964-14972 - Lianghe Shi, Weiwei Liu:
A Closer Look at Curriculum Adversarial Training: From an Online Perspective. 14973-14981 - Liangliang Shi, Zhaoqi Shen, Junchi Yan:
Double-Bounded Optimal Transport for Advanced Clustering and Classification. 14982-14990 - Hyunjune Shin, Dong-Wan Choi:
Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation. 14991-14999 - Sangwoo Shin, Minjong Yoo, Jeongwoo Lee, Honguk Woo:
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation. 15000-15008 - Debaditya Shome, Pritam Sarkar, Ali Etemad:
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. 15009-15019 - Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. 15020-15028 - Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen:
Partial Label Learning with a Partner. 15029-15037 - Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis:
Online Submodular Maximization via Online Convex Optimization. 15038-15046 - Kun Song, Ruben Solozabal, Hao Li, Martin Takác, Lu Ren, Fakhri Karray:
Robustly Train Normalizing Flows via KL Divergence Regularization. 15047-15055 - Xiang Song, Yuhang He, Songlin Dong, Yihong Gong:
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias. 15056-15065 - Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar:
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation. 15066-15074 - Uri Stern, Daniel Shwartz, Daphna Weinshall:
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit. 15075-15082 - Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu:
Multi-Dimensional Fair Federated Learning. 15083-15090 - Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen:
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. 15091-15099 - Jiayang Su, Junbo Ma, Songyang Tong, Enze Xu, Minghan Chen:
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems. 15100-15107 - Junhao Su, Zhenghan Chen, Chenghao He, Dongzhi Guan, Changpeng Cai, Tongxi Zhou, Jiashen Wei, Wenhua Tian, Zhihuai Xie:
GSENet: Global Semantic Enhancement Network for Lane Detection. 15108-15116 - Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue:
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. 15117-15125 - Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. 15126-15135 - Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang:
Unraveling Batch Normalization for Realistic Test-Time Adaptation. 15136-15144 - Chenyu Sun, Hangwei Qian, Chunyan Miao:
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning. 15145-15153 - Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng:
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. 15154-15163 - Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. 15164-15172 - Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li:
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates. 15173-15182
AAAI Technical Track on Machine Learning V
- Yuan Sun, Jian Dai, Zhenwen Ren, Yingke Chen, Dezhong Peng, Peng Hu:
Dual Self-Paced Cross-Modal Hashing. 15184-15192 - Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang:
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. 15193-15201 - David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid:
Learning Not to Regret. 15202-15210 - Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa:
Optimal Transport with Cyclic Symmetry. 15211-15221 - Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. 15222-15230 - Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao:
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. 15231-15239 - Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine:
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. 15240-15248 - Xin Tan, Ce Zhao, Chengliang Liu, Jie Wen, Zhanyan Tang:
A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification. 15249-15257 - Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv:
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. 15258-15266 - Boshi Tang, Zhiyong Wu, Xixin Wu, Qiaochu Huang, Jun Chen, Shun Lei, Helen Meng:
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes. 15267-15275 - Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer:
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction). 15276-15283 - Shaojie Tang, Jing Yuan:
Non-monotone Sequential Submodular Maximization. 15284-15291 - Zhenchao Tang, Jiehui Huang, Guanxing Chen, Calvin Yu-Chian Chen:
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration. 15292-15300 - Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang:
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning. 15301-15309 - Lue Tao, Yu-Xuan Huang, Wang-Zhou Dai, Yuan Jiang:
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees. 15310-15318 - Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
Efficient Nonparametric Tensor Decomposition for Binary and Count Data. 15319-15327 - Yuki Tatsunami, Masato Taki:
FFT-Based Dynamic Token Mixer for Vision. 15328-15336 - Samuel Teuber, Bernhard Beckert:
An Information-Flow Perspective on Algorithmic Fairness. 15337-15345 - Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Amalgamating Multi-Task Models with Heterogeneous Architectures. 15346-15354 - Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. 15355-15363 - Jinhao Tian, Zuchao Li, Jiajia Li, Ping Wang:
N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding. 15364-15372 - Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low:
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning. 15373-15381 - Quang Truong, Peter Chin:
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes. 15382-15391 - Wenxuan Tu, Renxiang Guan, Sihang Zhou, Chuan Ma, Xin Peng, Zhiping Cai, Zhe Liu, Jieren Cheng, Xinwang Liu:
Attribute-Missing Graph Clustering Network. 15392-15401 - Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo:
Parameterized Projected Bellman Operator. 15402-15410 - Kiet Q. H. Vo, Muneeb Aadil, Siu Lun Chau, Krikamol Muandet:
Causal Strategic Learning with Competitive Selection. 15411-15419 - Leonie von Wahl, Niklas Heidenreich, Prasenjit Mitra, Michael Nolting, Nicolas Tempelmeier:
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets. 15420-15428 - Guancheng Wan, Wenke Huang, Mang Ye:
Federated Graph Learning under Domain Shift with Generalizable Prototypes. 15429-15437 - Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen:
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. 15438-15446 - Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin:
DiffAIL: Diffusion Adversarial Imitation Learning. 15447-15455 - Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. 15456-15465 - Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian:
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. 15466-15473 - Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang:
Generative Model-Based Feature Knowledge Distillation for Action Recognition. 15474-15482 - Hao Wang, Shengda Luo, Guosheng Hu, Jianguo Zhang:
Gradient-Guided Modality Decoupling for Missing-Modality Robustness. 15483-15491 - Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai:
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. 15492-15501 - Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo, Jianqiang Li:
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks. 15502-15510 - Jiahuan Wang, Hong Chen:
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent. 15511-15519 - Jing Wang, Songhe Feng, Gengyu Lyu, Jiazheng Yuan:
SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering. 15520-15527 - Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. 15528-15536 - Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. 15537-15545 - Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci:
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients. 15546-15554 - Min Wang, Xin Li, Leiji Zhang, Mingzhong Wang:
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components. 15555-15562 - Muyao Wang, Wenchao Chen, Bo Chen:
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting. 15563-15570 - Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. 15571-15579 - Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han:
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems. 15580-15588 - Qixin Wang, Chaoqiong Fan, Tianyuan Jia, Yuyang Han, Xia Wu:
ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model. 15589-15597 - Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang:
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. 15598-15606 - Shengbo Wang, Ke Li:
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence. 15607-15615 - Shufan Wang, Guojun Xiong, Jian Li:
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints. 15616-15624 - Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang:
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. 15625-15633 - Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong:
IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity. 15634-15643 - Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. 15644-15652 - Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai, You-Wei Luo, Hong Yan:
Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation. 15653-15661 - Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang:
Limited-Supervised Multi-Label Learning with Dependency Noise. 15662-15670 - Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang:
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. 15671-15679 - Yifeng Wang, Yi Zhao:
Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement. 15680-15688 - Yimu Wang, Yihan Wu, Hongyang Zhang:
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains. 15689-15697 - Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li:
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach. 15698-15705 - Yuanfu Wang, Chao Yang, Ying Wen, Yu Liu, Yu Qiao:
Critic-Guided Decision Transformer for Offline Reinforcement Learning. 15706-15714 - Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data. 15715-15724 - Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph-Aware Contrasting for Multivariate Time-Series Classification. 15725-15734 - Yulong Wang:
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures. 15735-15742 - Yunpeng Wang, Meng Pang, Shengbo Chen, Hong Rao:
Consistency-GAN: Training GANs with Consistency Model. 15743-15751 - Zekai Wang, Zhengyu Zhou, Weiwei Liu:
DRF: Improving Certified Robustness via Distributional Robustness Framework. 15752-15760 - Zhenyu Wang, Hao Luo, Xuemei Xie, Fan Wang, Guangming Shi:
BVT-IMA: Binary Vision Transformer with Information-Modified Attention. 15761-15769 - Zhiwei Wang, Huazheng Wang, Hongning Wang:
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits. 15770-15777 - Zizhao Wang, Caroline Wang, Xuesu Xiao, Yuke Zhu, Peter Stone:
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. 15778-15786 - Tong Wei, Bo-Lin Wang, Min-Ling Zhang:
EAT: Towards Long-Tailed Out-of-Distribution Detection. 15787-15795 - Xiang Wei, Alan J. X. Guo, Sihan Sun, Mengyi Wei, Wei Yu:
Levenshtein Distance Embedding with Poisson Regression for DNA Storage. 15796-15804 - Yikang Wei, Yahong Han:
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization. 15805-15813 - Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li:
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. 15814-15822 - Lingfeng Wen, Xuan Tang, Mingjie Ouyang, Xiangxiang Shen, Jian Yang, Daxin Zhu, Mingsong Chen, Xian Wei:
Hyperbolic Graph Diffusion Model. 15823-15831 - Ming Wen, Chengchang Liu, Yuedong Xu:
Communication Efficient Distributed Newton Method over Unreliable Networks. 15832-15840 - Zichen Wen, Yawen Ling, Yazhou Ren, Tianyi Wu, Jianpeng Chen, Xiaorong Pu, Zhifeng Hao, Lifang He:
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering. 15841-15849 - Luisa Werner, Nabil Layaïda, Pierre Genevès, Jérôme Euzenat, Damien Graux:
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods. 15850-15858 - Jonathan Wilton, Nan Ye:
Robust Loss Functions for Training Decision Trees with Noisy Labels. 15859-15867 - Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. 15868-15877 - Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng:
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability. 15878-15887 - Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang:
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning. 15888-15896 - Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li:
OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning. 15897-15905 - Hao Wu, Yuxuan Liang, Wei Xiong, Zhengyang Zhou, Wei Huang, Shilong Wang, Kun Wang:
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model. 15906-15914 - Haochen Wu, Shubham Sharma, Sunandita Patra, Sriram Gopalakrishnan:
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies. 15915-15923 - Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell:
SwitchTab: Switched Autoencoders Are Effective Tabular Learners. 15924-15933 - Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. 15934-15942 - Nannan Wu, Zhaobin Sun, Zengqiang Yan, Li Yu:
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise. 15943-15951 - Tingting Wu, Songhe Feng, Jiazheng Yuan:
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. 15952-15960 - Yanan Wu, Zhixiang Chi, Yang Wang, Konstantinos N. Plataniotis, Songhe Feng:
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization. 15961-15969 - Yanru Wu, Jianning Wang, Weida Wang, Yang Li:
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer. 15970-15978 - Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie:
Data Poisoning to Fake a Nash Equilibria for Markov Games. 15979-15987 - Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu:
Self-Training Based Few-Shot Node Classification by Knowledge Distillation. 15988-15995 - Haochong Xia, Shuo Sun, Xinrun Wang, Bo An:
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context. 15996-16004 - Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang:
A Separation and Alignment Framework for Black-Box Domain Adaptation. 16005-16013 - Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng:
Transformer as Linear Expansion of Learngene. 16014-16022 - Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar:
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. 16023-16031 - Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng, Jinli Suo:
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations. 16032-16039 - Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng:
Enhancing Evolving Domain Generalization through Dynamic Latent Representations. 16040-16048 - Chenghan Xie, Chenxi Li, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye:
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness. 16049-16057 - Zheng Xie, Yu Liu, Ming Li:
AUC Optimization from Multiple Unlabeled Datasets. 16058-16066 - Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang:
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts. 16067-16075 - Yi Xin, Junlong Du, Qiang Wang, Ke Yan, Shouhong Ding:
MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. 16076-16084 - Yi Xin, Junlong Du, Qiang Wang, Zhiwen Lin, Ke Yan:
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. 16085-16093 - Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang:
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. 16094-16102 - Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li:
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. 16103-16111 - Siheng Xiong, Yuan Yang, Ali Payani, James Clayton Kerce, Faramarz Fekri:
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning. 16112-16119 - Zikai Xiong, Niccolò Dalmasso, Alan Mishler, Vamsi K. Potluru, Tucker Balch, Manuela Veloso:
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. 16120-16128 - Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao:
Reliable Conflictive Multi-View Learning. 16129-16137 - Fan Xu, Yu Zhao, Bingzhe Wu, Yueshan Huang, Qin Ren, Yang Xiao, Bing He, Jie Zheng, Jianhua Yao:
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification. 16138-16146 - Gehui Xu, Jie Wen, Chengliang Liu, Bing Hu, Yicheng Liu, Lunke Fei, Wei Wang:
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures. 16147-16155 - Jian Xu, Delu Zeng:
Sparse Variational Student-t Processes. 16156-16163 - Jiawei Xu, Cheng Zhou, Yizheng Zhang, Baoxiang Wang, Lei Han:
Relative Policy-Transition Optimization for Fast Policy Transfer. 16164-16172 - Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke:
Union Subgraph Neural Networks. 16173-16183 - Jiaxuan Xu, Taiyong Li, Lei Duan:
Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights. 16184-16192 - Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang:
PTMQ: Post-training Multi-Bit Quantization of Neural Networks. 16193-16201 - Kunlun Xu, Xu Zou, Jiahuan Zhou:
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification. 16202-16210 - Shixiong Xu, Gaofeng Meng, Xing Nie, Bolin Ni, Bin Fan, Shiming Xiang:
Defying Imbalanced Forgetting in Class Incremental Learning. 16211-16219 - Wangkun Xu, Jianhong Wang, Fei Teng:
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning. 16220-16227 - Zhengqin Xu, Yulun Zhang, Chao Ma, Yichao Yan, Zelin Peng, Shoulie Xie, Shiqian Wu, Xiaokang Yang:
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation. 16228-16236
AAAI Technical Track on Machine Learning VI
- Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang:
Multiobjective Lipschitz Bandits under Lexicographic Ordering. 16238-16246 - Yangkai Xue, Jindou Dai, Zhipeng Lu, Yuwei Wu, Yunde Jia:
Residual Hyperbolic Graph Convolution Networks. 16247-16254 - Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme:
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. 16255-16263 - Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao, Yangdong Ye, Hui Yu:
Live and Learn: Continual Action Clustering with Incremental Views. 16264-16271 - Yan Yan, Yuhong Guo:
Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization. 16272-16280 - Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng:
An Optimal Transport View for Subspace Clustering and Spectral Clustering. 16281-16289 - Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng:
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. 16290-16298 - Chengyi Yang, Jiayin Qi, Aimin Zhou:
Wasserstein Differential Privacy. 16299-16307 - Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang:
Federated Causality Learning with Explainable Adaptive Optimization. 16308-16315 - Fan Yang, Wei Li, Menglong Yang, Binbin Liang, Jianwei Zhang:
Multi-Modal Disordered Representation Learning Network for Description-Based Person Search. 16316-16324 - Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue:
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. 16325-16333 - Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang:
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. 16334-16342 - Sikun Yang, Hongyuan Zha:
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. 16343-16351 - Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor:
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. 16352-16360 - Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yu-Feng Li, Wang-Zhou Dai, Zhi-Hua Zhou:
Safe Abductive Learning in the Presence of Inaccurate Rules. 16361-16369 - Yongjin Yang, Taehyeon Kim, Se-Young Yun:
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. 16370-16378 - Zhaoyuan Yang, Zhiwei Xu, Jing Zhang, Richard I. Hartley, Peter H. Tu:
Adversarial Purification with the Manifold Hypothesis. 16379-16387 - Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter:
Dynamic Knowledge Injection for AIXI Agents. 16388-16397 - Dixi Yao, Baochun Li:
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search. 16398-16406 - Mingshuai Yao, Yabo Zhang, Xianhui Lin, Xiaoming Li, Wangmeng Zuo:
VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization. 16407-16415 - Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin:
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. 16416-16424 - Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu:
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process. 16425-16432 - Yang Yao, Xin Wang, Yijian Qin, Ziwei Zhang, Wenwu Zhu, Hong Mei:
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts. 16433-16441 - Fei Ye, Adrian G. Bors:
Task-Free Dynamic Sparse Vision Transformer for Continual Learning. 16442-16450 - Fei Ye, Adrian G. Bors:
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster. 16451-16459 - Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. 16460-16468 - Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv:
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. 16469-16477 - Jun Yin, Shiliang Sun, Lai Wei, Pei Wang:
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. 16478-16485 - Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji:
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model. 16486-16494 - Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu:
Dynamic Spiking Graph Neural Networks. 16495-16503 - Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng:
Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval. 16504-16512 - Gwangpyo Yoo, Jinwoo Park, Honguk Woo:
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures. 16513-16521 - En Yu, Jie Lu, Bin Zhang, Guangquan Zhang:
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. 16522-16530 - Fangchao Yu, Bo Zeng, Kai Zhao, Zhi Pang, Lina Wang:
Chronic Poisoning: Backdoor Attack against Split Learning. 16531-16538 - Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang:
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. 16539-16547 - Hang Yu, Zhengyang Liu, Xiangfeng Luo:
Barely Supervised Learning for Graph-Based Fraud Detection. 16548-16557 - Shengju Yu, Siwei Wang, Zhibin Dong, Wenxuan Tu, Suyuan Liu, Zhao Lv, Pan Li, Miao Wang, En Zhu:
A Non-parametric Graph Clustering Framework for Multi-View Data. 16558-16567 - Shengju Yu, Siwei Wang, Pei Zhang, Miao Wang, Ziming Wang, Zhe Liu, Liming Fang, En Zhu, Xinwang Liu:
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering. 16568-16577 - Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang:
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. 16578-16586 - Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng:
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning. 16587-16595 - Zhidong Yu, Wei Yang, Xike Xie, Zhenbo Shi:
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation. 16596-16604 - Zihao Yu, Haoyang Li, Fangcheng Fu, Xupeng Miao, Bin Cui:
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference. 16605-16613 - Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. 16614-16622 - Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong:
Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. 16623-16632 - Angxiao Yue, Dixin Luo, Hongteng Xu:
A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation. 16633-16641 - Yu Zang, Zhe Xue, Shilong Ou, Lingyang Chu, Junping Du, Yunfei Long:
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction. 16642-16650 - Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang:
Generalizing across Temporal Domains with Koopman Operators. 16651-16659 - Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong:
Hierarchical Multi-Marginal Optimal Transport for Network Alignment. 16660-16668 - Lei Zhai, Shuyuan Yang, Yitong Li, Zhixi Feng, Zhihao Chang, Quanwei Gao:
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification. 16669-16677 - Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. 16678-16686 - Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, Bowen Zhang:
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning. 16687-16695 - Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li:
Learning Cluster-Wise Anchors for Multi-View Clustering. 16696-16704 - Dekai Zhang, Matt Williams, Francesca Toni:
Targeted Activation Penalties Help CNNs Ignore Spurious Signals. 16705-16713 - Dingchu Zhang, Zhi Zhou, Yu-Feng Li:
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. 16714-16722 - Dongmei Zhang, Chang Li, Renrui Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang:
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection. 16723-16731 - Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge:
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations. 16732-16740 - Hao-Kai Zhang, Chengkai Zhu, Geng Liu, Xin Wang:
Exponential Hardness of Optimization from the Locality in Quantum Neural Networks. 16741-16749 - Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yu-Feng Li:
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. 16750-16758 - Hong Zhang, Yu Zhang:
Memory-Efficient Reversible Spiking Neural Networks. 16759-16767 - Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao:
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning. 16768-16776 - Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li:
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection. 16777-16785 - Pingyue Zhang, Mengyue Wu:
Multi-Label Supervised Contrastive Learning. 16786-16793 - Qiao Zhang, Tao Xiang, Chunsheng Xin, Hongyi Wu:
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus. 16794-16802 - Rongchao Zhang, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang:
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis. 16803-16811 - Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. 16812-16820 - Ruining Zhang, Haoran Han, Maolong Lv, Qisong Yang, Jian Cheng:
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System. 16821-16829 - Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang:
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors. 16830-16837 - Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. 16838-16847 - Shuo Zhang, Yuwen Li, Zhongyu Wang, Jianqing Li, Chengyu Liu:
Learning with Noisy Labels Using Hyperspherical Margin Weighting. 16848-16856 - Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen:
One Step Closer to Unbiased Aleatoric Uncertainty Estimation. 16857-16864 - Wei Zhang, Brian Barr, John Paisley:
Gaussian Process Neural Additive Models. 16865-16872 - Xianda Zhang, Baolin Zheng, Jianbao Hu, Chengyang Li, Xiaoying Bai:
From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks. 16873-16880 - Xinyu Zhang, Meng Kang, Shuai Lü:
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation. 16881-16889 - Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. 16890-16898 - Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang:
Learning Multi-Task Sparse Representation Based on Fisher Information. 16899-16907 - Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. 16908-16916 - Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou:
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. 16917-16925 - Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma:
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. 16926-16934 - Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo:
Cached Transformers: Improving Transformers with Differentiable Memory Cachde. 16935-16943 - Zhe Zhang, Xiaoyang Tan:
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning. 16944-16952 - Zhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu, Guozhen Rong, Qilong Feng:
Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation. 16953-16960 - Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger:
Symmetric Self-Paced Learning for Domain Generalization. 16961-16969 - Han Zhao, Xu Yang, Cheng Deng, Junchi Yan:
Dynamic Reactive Spiking Graph Neural Network. 16970-16978 - Kai Zhao, Chang Xu, Bailu Si:
Learning Visual Abstract Reasoning through Dual-Stream Networks. 16979-16988 - Na Zhao, Gim Hee Lee:
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data. 16989-16997 - Pengfei Zhao, Haoren Zhu, Wilfred Siu Hung Ng, Dik Lun Lee:
From GARCH to Neural Network for Volatility Forecast. 16998-17006 - Puning Zhao, Zhiguo Wan:
Robust Nonparametric Regression under Poisoning Attack. 17007-17015 - Wenhui Zhao, Guangfei Li, Haizhou Yang, Quanxue Gao, Qianqian Wang:
Embedded Feature Selection on Graph-Based Multi-View Clustering. 17016-17023 - Xilong Zhao, Siyuan Bian, Yaoyun Zhang, Yuliang Zhang, Qinying Gu, Xinbing Wang, Chenghu Zhou, Nanyang Ye:
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration. 17024-17032 - Yanxuan Zhao, Peng Zhang, Guopeng Sun, Zhigong Yang, Jianqiang Chen, Yueqing Wang:
CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design. 17033-17041 - Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang:
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks. 17042-17050 - Shenghe Zheng, Hongzhi Wang, Tianyu Mu:
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning. 17051-17059 - Churan Zhi, Junbao Zhuo, Shuhui Wang:
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments. 17060-17068 - Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang:
Knowledge-Aware Parameter Coaching for Personalized Federated Learning. 17069-17077 - Dianyu Zhong, Yiqin Yang, Qianchuan Zhao:
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning. 17078-17086 - Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. 17087-17095 - Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo:
Cycle Self-Refinement for Multi-Source Domain Adaptation. 17096-17104 - Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang:
Explaining Generalization Power of a DNN Using Interactive Concepts. 17105-17113 - Qianrui Zhou, Hua Xu, Hao Li, Hanlei Zhang, Xiaohan Zhang, Yifan Wang, Kai Gao:
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition. 17114-17122 - Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu:
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. 17123-17131 - Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. 17132-17140 - Xiaochen Zhou, Xudong Wang:
Federated Label-Noise Learning with Local Diversity Product Regularization. 17141-17149 - Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao:
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. 17150-17158 - Jianping Zhu, Xin Guo, Yang Chen, Yao Yang, Wenbo Li, Bo Jin, Fei Wu:
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction. 17159-17166 - Kun Zhu, Chunhui Zhao:
Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series. 17167-17174 - Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. 17175-17183 - Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu:
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. 17184-17192 - Sheng Zhu, Chun Shen, Shuai Lü, Junhong Wu, Daolong An:
Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration. 17193-17201 - Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li:
Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. 17202-17210 - Yifan Zhu, Lijia Yu, Xiao-Shan Gao:
Detection and Defense of Unlearnable Examples. 17211-17219 - Yonghua Zhu, Lei Feng, Zhenyun Deng, Yang Chen, Robert Amor, Michael Witbrock:
Robust Node Classification on Graph Data with Graph and Label Noise. 17220-17227 - Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo:
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. 17228-17236 - Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin:
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. 17237-17244 - Zhengyang Zhuge, Jiaxing Wang, Yong Li, Yongjun Bao, Peisong Wang, Jian Cheng:
Patch-Aware Sample Selection for Efficient Masked Image Modeling. 17245-17253 - Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun Huang:
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels. 17254-17262 - Xin Zou, Weiwei Liu:
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data. 17263-17270 - Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman:
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure. 17271-17279 - Pedro Zuidberg Dos Martires:
Probabilistic Neural Circuits. 17280-17289
AAAI Technical Track on Multiagent Systems
- Zain Alabedeen Ali, Konstantin S. Yakovlev:
Improved Anonymous Multi-Agent Path Finding Algorithm. 17291-17298 - Yanwen Ba, Xuan Liu, Xinning Chen, Hao Wang, Yang Xu, Kenli Li, Shigeng Zhang:
Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning. 17299-17307 - Raphaël Berthon, Joost-Pieter Katoen, Munyque Mittelmann, Aniello Murano:
Natural Strategic Ability in Stochastic Multi-Agent Systems. 17308-17316 - Raven Beutner, Bernd Finkbeiner:
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing. 17317-17326 - Jingdi Chen, Tian Lan, Carlee Joe-Wong:
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. 17327-17336 - Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du:
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. 17337-17345 - Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang:
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck. 17346-17353 - Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding:
Expressive Multi-Agent Communication via Identity-Aware Learning. 17354-17361 - Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, Ting Wang:
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. 17362-17370 - Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. 17371-17379 - Foivos Fioravantes, Dusan Knop, Jan Matyás Kristan, Nikolaos Melissinos, Michal Opler:
Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology. 17380-17388 - Tobias Friedrich, Andreas Göbel, Nicolas Klodt, Martin S. Krejca, Marcus Pappik:
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models. 17389-17397 - Yuma Fujimoto, Kaito Ariu, Kenshi Abe:
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games. 17398-17406 - Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen:
Factored Online Planning in Many-Agent POMDPs. 17407-17415 - Luca Geatti, Marco Montali, Andrey Rivkin:
Foundations of Reactive Synthesis for Declarative Process Specifications. 17416-17425 - Minbiao Han, Michael Albert, Haifeng Xu:
Learning in Online Principal-Agent Interactions: The Power of Menus. 17426-17434 - Aamal Abbas Hussain, Francesco Belardinelli:
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos. 17435-17443 - Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. 17444-17452 - Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao:
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. 17453-17460 - Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan:
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. 17461-17468 - Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An:
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. 17469-17476 - Zhenwei Lin, Jingfan Xia, Qi Deng, Luo Luo:
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization. 17477-17486 - Zeyang Liu, Lipeng Wan, Xinrui Yang, Zhuoran Chen, Xingyu Chen, Xuguang Lan:
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning. 17487-17495 - Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du:
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. 17496-17504 - Xiangrui Meng, Ying Tan:
PMAC: Personalized Multi-Agent Communication. 17505-17513 - Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig:
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. 17514-17522 - Muhammad Rahman, Jiaxun Cui, Peter Stone:
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents. 17523-17530 - Alexey Skrynnik, Anton Andreychuk, Konstantin S. Yakovlev, Aleksandr Panov:
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding. 17531-17540 - Alexey Skrynnik, Anton Andreychuk, Maria Nesterova, Konstantin S. Yakovlev, Aleksandr Panov:
Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning. 17541-17549 - Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou:
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. 17550-17558 - Yifan Su, Rishi Veerapaneni, Jiaoyang Li:
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution. 17559-17566 - Jingtao Tang, Hang Ma:
Large-Scale Multi-Robot Coverage Path Planning via Local Search. 17567-17574 - Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang:
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. 17575-17582 - Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu:
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. 17583-17590 - Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang:
ProAgent: Building Proactive Cooperative Agents with Large Language Models. 17591-17599 - Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng:
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. 17600-17608 - Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen:
Emergent Communication for Numerical Concepts Generalization. 17609-17617 - Chenyang Zhu, Wen Si, Jinyu Zhu, Zhihao Jiang:
Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning. 17618-17627 - Rui Zou, Sannyuya Liu, Yawei Luo, Yaqi Liu, Jintian Feng, Mengqi Wei, Jianwen Sun:
Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance. 17628-17636
AAAI Technical Track on Natural Language Processing I
- Chaoyi Ai, Kewei Tu:
Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields. 17638-17646 - Tony Alex, Sara Ahmed, Armin Mustafa, Muhammad Awais, Philip JB Jackson:
DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification. 17647-17655 - Kenichiro Ando, Satoshi Sekine, Mamoru Komachi:
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia. 17656-17663 - Hammad A. Ayyubi, Christopher Thomas, Lovish Chum, Rahul Lokesh, Long Chen, Yulei Niu, Xudong Lin, Xuande Feng, Jaywon Koo, Sounak Ray, Shih-Fu Chang:
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities. 17664-17672 - Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia:
All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation. 17673-17681 - Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, Torsten Hoefler:
Graph of Thoughts: Solving Elaborate Problems with Large Language Models. 17682-17690 - Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen:
When Do Program-of-Thought Works for Reasoning? 17691-17699 - Aydar Bulatov, Yuri Kuratov, Yermek Kapushev, Mikhail Burtsev:
Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory. 17700-17708 - Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. 17709-17717 - Yuang Cai, Yuyu Yuan:
CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization. 17718-17726 - Yuyang Chai, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji, Chong Teng:
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach. 17727-17735 - Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu:
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis. 17736-17744 - Delong Chen, Jianfeng Liu, Wenliang Dai, Baoyuan Wang:
Visual Instruction Tuning with Polite Flamingo. 17745-17753 - Jiawei Chen, Hongyu Lin, Xianpei Han, Le Sun:
Benchmarking Large Language Models in Retrieval-Augmented Generation. 17754-17762 - Qian Chen, Taolin Zhang, Dongyang Li, Xiaofeng He:
CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem. 17763-17771 - Ruirui Chen, Chengwei Qin, Weifeng Jiang, Dongkyu Choi:
Is a Large Language Model a Good Annotator for Event Extraction? 17772-17780 - Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong:
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. 17781-17789 - Xinhao Chen, Chong Yang, Changzhi Sun, Man Lan, Aimin Zhou:
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation. 17790-17798 - Xinjie Chen, Kai Fan, Wei Luo, Linlin Zhang, Libo Zhao, Xinggao Liu, Zhongqiang Huang:
Divergence-Guided Simultaneous Speech Translation. 17799-17807 - Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. 17808-17816 - Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. 17817-17825 - Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao:
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. 17826-17834 - Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen:
Editing Language Model-Based Knowledge Graph Embeddings. 17835-17843 - Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yaowei Li, Xianwei Zhuang, Yuexian Zou:
Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport. 17844-17852 - Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng:
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. 17853-17861 - Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee:
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion. 17862-17870 - Timothy Chu, Zhao Song, Chiwun Yang:
How to Protect Copyright Data in Optimization of Large Language Models? 17871-17879 - Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo:
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. 17880-17888 - Zahra Delbari, Nafise Sadat Moosavi, Mohammad Taher Pilehvar:
Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales. 17889-17897 - Qiuyu Ding, Hailong Cao, Tiejun Zhao:
Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving. 17898-17906 - Zeyuan Ding, Zhihao Yang, Ling Luo, Yuanyuan Sun, Hongfei Lin:
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue. 17907-17914 - Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin:
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation. 17915-17923 - Chenpeng Du, Yiwei Guo, Feiyu Shen, Zhijun Liu, Zheng Liang, Xie Chen, Shuai Wang, Hui Zhang, Kai Yu:
UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding. 17924-17932 - Hang Du, Guoshun Nan, Sicheng Zhang, Binzhu Xie, Junrui Xu, Hehe Fan, Qimei Cui, Xiaofeng Tao, Xudong Jiang:
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding. 17933-17941 - Yangkai Du, Tengfei Ma, Lingfei Wu, Xuhong Zhang, Shouling Ji:
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection. 17942-17950 - Subhabrata Dutta, Ishan Pandey, Joykirat Singh, Sunny Manchanda, Soumen Chakrabarti, Tanmoy Chakraborty:
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning. 17951-17959 - Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He:
Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis. 17960-17967 - Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen:
Enhancing Low-Resource Relation Representations through Multi-View Decoupling. 17968-17976 - Zipeng Fan, Jing Zhang, Peng Zhang, Qianxi Lin, Hui Gao:
Quantum-Inspired Neural Network with Runge-Kutta Method. 17977-17984 - Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. 17985-17993 - Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao:
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. 17994-18002 - Yu Fu, Deyi Xiong, Yue Dong:
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. 18003-18011 - Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier:
BAND: Biomedical Alert News Dataset. 18012-18020 - Kaizhi Gao, Tianyu Wang, Zhongjing Ma, Suli Zou:
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning. 18021-18029 - Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. 18030-18038 - Xiang Gao, Kamalika Das:
Customizing Language Model Responses with Contrastive In-Context Learning. 18039-18046 - Ling Ge, Chunming Hu, Guanghui Ma, Jihong Liu, Hong Zhang:
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning. 18047-18055 - Ling Ge, Chunming Hu, Guanghui Ma, Jihong Liu, Hong Zhang:
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition. 18056-18064 - Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran:
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. 18065-18072 - Daniel Gilo, Shaul Markovitch:
A General Search-Based Framework for Generating Textual Counterfactual Explanations. 18073-18081 - Zhuocheng Gong, Jiahao Liu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan:
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation. 18082-18089 - Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan:
CoPL: Contextual Prompt Learning for Vision-Language Understanding. 18090-18098 - Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao:
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. 18099-18107 - Zihui Gu, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Chengzhong Xu, Ju Fan:
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation. 18108-18116 - Wenhao Guan, Yishuang Li, Tao Li, Hukai Huang, Feng Wang, Jiayan Lin, Lingyan Huang, Lin Li, Qingyang Hong:
MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis. 18117-18125 - Xinyan Guan, Yanjiang Liu, Hongyu Lin, Yaojie Lu, Ben He, Xianpei Han, Le Sun:
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting. 18126-18134 - Anisha Gunjal, Jihan Yin, Erhan Bas:
Detecting and Preventing Hallucinations in Large Vision Language Models. 18135-18143 - Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. 18144-18152 - Zhifang Guo, Jianguo Mao, Rui Tao, Long Yan, Kazushige Ouchi, Hong Liu, Xiangdong Wang:
Audio Generation with Multiple Conditional Diffusion Model. 18153-18161 - Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao:
Small Language Model Can Self-Correct. 18162-18170 - Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li:
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. 18171-18179 - Liqi He, Zuchao Li, Xiantao Cai, Ping Wang:
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models. 18180-18187 - Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Jiaqing Liang, Yanghua Xiao:
Can Large Language Models Understand Real-World Complex Instructions? 18188-18196 - Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu:
Improving Factual Error Correction by Learning to Inject Factual Errors. 18197-18205 - Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang:
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. 18206-18215 - Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. 18216-18224 - Jia-Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli, Alessandro Capotondi:
ShareBERT: Embeddings Are Capable of Learning Hidden Layers. 18225-18233 - Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. 18234-18242 - Shuaibo Hu, Kui Yu:
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach. 18243-18251 - Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang:
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. 18252-18260 - Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu:
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. 18261-18269 - Yuxue Hu, Junsong Li, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha:
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. 18270-18278 - Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi:
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation. 18279-18288 - Chen Huang, Peixin Qin, Wenqiang Lei, Jiancheng Lv:
Towards Equipping Transformer with the Ability of Systematic Compositionality. 18289-18297 - Hailang Huang, Zhijie Nie, Ziqiao Wang, Ziyu Shang:
Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval. 18298-18306 - Jianheng Huang, Ante Wang, Linfeng Gao, Linfeng Song, Jinsong Su:
Response Enhanced Semi-supervised Dialogue Query Generation. 18307-18315 - Jin Huang, Danfeng Yan, Yuanqiang Cai:
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition. 18316-18326 - Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, Kuldeep Singh:
Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction. 18327-18335 - Yejin Jeon, Yunsu Kim, Gary Geunbae Lee:
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations. 18336-18344 - Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng:
Chain-of-Thought Improves Text Generation with Citations in Large Language Models. 18345-18353 - Mengzhao Jia, Can Xie, Liqiang Jing:
Debiasing Multimodal Sarcasm Detection with Contrastive Learning. 18354-18362 - Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song:
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization. 18363-18371 - Renlong Jie, Xiaojun Meng, Xin Jiang, Qun Liu:
Unsupervised Extractive Summarization with Learnable Length Control Strategies. 18372-18380 - MinJun Kim, Seungwoo Song, Youhan Lee, Haneol Jang, Kyungtae Lim:
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining. 18381-18389 - James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird:
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis. 18390-18398 - Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao:
On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning. 18399-18407 - Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen:
A Hierarchical Network for Multimodal Document-Level Relation Extraction. 18408-18416 - Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo:
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. 18417-18425 - An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. 18426-18434 - Khoi M. Le, Trinh Pham, Tho Quan, Anh Tuan Luu:
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training. 18435-18443 - Thanh-Thien Le, Manh Nguyen, Tung Thanh Nguyen, Ngo Van Linh, Thien Huu Nguyen:
Continual Relation Extraction via Sequential Multi-Task Learning. 18444-18452 - Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang:
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. 18453-18461 - Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Fangfang Su, Fei Li, Donghong Ji:
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues. 18462-18470 - Changmao Li, Jeffrey Flanigan:
Task Contamination: Language Models May Not Be Few-Shot Anymore. 18471-18480 - Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen:
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning. 18481-18489 - Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. 18490-18498
AAAI Technical Track on Natural Language Processing II
- Fangjun Li, David C. Hogg, Anthony G. Cohn:
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark. 18500-18507 - Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou:
Exploiting Auxiliary Caption for Video Grounding. 18508-18516 - Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. 18517-18526 - Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu:
Enhancing Multi-Label Classification via Dynamic Label-Order Learning. 18527-18535 - Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu:
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models. 18536-18544 - Peize Li, Qingyi Si, Peng Fu, Zheng Lin, Yan Wang:
Object Attribute Matters in Visual Question Answering. 18545-18553 - Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao:
Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models. 18554-18563 - Xiaopeng Li, Shasha Li, Shezheng Song, Jing Yang, Jun Ma, Jie Yu:
PMET: Precise Model Editing in a Transformer. 18564-18572 - Xue Li, Jia Su, Yang Yang, Zipeng Gao, Xinyu Duan, Yi Guan:
Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation. 18573-18581 - Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang:
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. 18582-18590 - Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Bin Sun, Xinglin Wang, Heda Wang, Kan Li:
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data. 18591-18599 - Yucheng Li, Frank Guerin, Chenghua Lin:
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction. 18600-18607 - Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang:
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering. 18608-18616 - Yaobo Liang, Quanzhi Zhu, Junhe Zhao, Nan Duan:
Machine-Created Universal Language for Cross-Lingual Transfer. 18617-18625 - Ying-Jia Lin, Chun-Yi Lin, Chia-Jen Yeh, Yi-Ting Li, Yun-Yu Hu, Chih-Hao Hsu, Mei-Feng Lee, Hung-Yu Kao:
CFEVER: A Chinese Fact Extraction and VERification Dataset. 18626-18634 - Chang Liu, Yuanhe Tian, Weidong Chen, Yan Song, Yongdong Zhang:
Bootstrapping Large Language Models for Radiology Report Generation. 18635-18643 - Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. 18644-18652 - Jingping Liu, Mingchuan Zhang, Weichen Li, Chao Wang, Shuang Li, Haiyun Jiang, Sihang Jiang, Yanghua Xiao, Yunwen Chen:
Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding. 18653-18661 - Linfeng Liu, Hongqiu Wu, Hai Zhao:
Chinese Spelling Correction as Rephrasing Language Model. 18662-18670 - Longxiang Liu, Xiuxing Li, Yang Feng:
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling. 18671-18679 - Peipei Liu, Hong Li, Yimo Ren, Jie Liu, Shuaizong Si, Hongsong Zhu, Limin Sun:
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts. 18680-18688 - Qingyi Liu, Jinghui Qin, Wenxuan Ye, Hao Mou, Yuxuan He, Keze Wang:
Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models. 18689-18697 - Rui Liu, Yifan Hu, Yi Ren, Xiang Yin, Haizhou Li:
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling. 18698-18706 - Yang Liu:
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models. 18707-18715 - Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Improved Graph Contrastive Learning for Short Text Classification. 18716-18724 - Yushan Liu, Zili Wang, Ruifeng Yuan:
QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters. 18725-18732 - Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou:
Generative Multi-Modal Knowledge Retrieval with Large Language Models. 18733-18741 - Da Luo, Yanglei Gan, Rui Hou, Run Lin, Qiao Liu, Yuxiang Cai, Wannian Gao:
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction. 18742-18750 - Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng, Wei Wang:
STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. 18751-18759 - Hieu Man, Franck Dernoncourt, Thien Huu Nguyen:
Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models. 18760-18768 - Hongli Mao, Xian-Ling Mao, Hanlin Tang, Yuming Shang, Heyan Huang:
Span Graph Transformer for Document-Level Named Entity Recognition. 18769-18777 - Emily McMilin:
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution. 18778-18788 - Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li:
MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. 18789-18797 - Debjyoti Mondal, Suraj Modi, Subhadarshi Panda, Rituraj Singh, Godawari Sudhakar Rao:
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. 18798-18806 - Alon Mor, Yonatan Belinkov, Benny Kimelfeld:
Accelerating the Global Aggregation of Local Explanations. 18807-18814 - Zhaoxi Mu, Xinyu Yang, Sining Sun, Qing Yang:
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction. 18815-18823 - Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. 18824-18832 - Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. 18833-18841 - Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li:
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations. 18842-18850 - Siru Ouyang, Zhuosheng Zhang, Hai Zhao:
Fact-Driven Logical Reasoning for Machine Reading Comprehension. 18851-18859 - Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. 18860-18868 - Tianshuo Peng, Zuchao Li, Ping Wang, Lefei Zhang, Hai Zhao:
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis. 18869-18878 - Ruili Pu, Yang Li, Jun Zhao, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction. 18879-18887 - Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang:
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks. 18888-18896 - Zhen Qin, Yiran Zhong, Hui Deng:
Exploring Transformer Extrapolation. 18897-18905 - Jesse Roberts, Kyle Moore, Drew Wilenzick, Douglas H. Fisher:
Using Artificial Populations to Study Psychological Phenomena in Neural Models. 18906-18914 - Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan, Yuesheng Zhu:
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. 18915-18923 - Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang:
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. 18924-18933 - Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji:
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. 18934-18943 - Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang:
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. 18944-18951 - Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong:
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models. 18952-18960 - Wenkai Shi, Wenbin An, Feng Tian, Yan Chen, Yaqiang Wu, Qianying Wang, Ping Chen:
A Unified Knowledge Transfer Network for Generalized Category Discovery. 18961-18969 - Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng:
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. 18970-18980 - Gopendra Vikram Singh, Mauajama Firdaus, Dushyant Singh Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning. 18981-18989 - Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang:
Preference Ranking Optimization for Human Alignment. 18990-18998 - Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu:
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification. 18999-19007 - Shezheng Song, Shan Zhao, Chengyu Wang, Tianwei Yan, Shasha Li, Xiaoguang Mao, Meng Wang:
A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking. 19008-19016 - Sihan Song, Furao Shen, Jian Zhao:
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition. 19017-19025 - Weihang Su, Qingyao Ai, Xiangsheng Li, Jia Chen, Yiqun Liu, Xiaolong Wu, Shengluan Hou:
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval. 19026-19034 - Zhenlin Su, Liyan Xu, Jin Xu, Jiangnan Li, Mingdu Huangfu:
SIG: Speaker Identification in Literature via Prompt-Based Generation. 19035-19043 - Hongda Sun, Hongzhan Lin, Rui Yan:
Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference. 19044-19052 - Liangtai Sun, Yang Han, Zihan Zhao, Da Ma, Zhennan Shen, Baocai Chen, Lu Chen, Kai Yu:
SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research. 19053-19061 - Lin Sun, Kai Zhang, Qingyuan Li, Renze Lou:
UMIE: Unified Multimodal Information Extraction with Instruction Tuning. 19062-19070 - Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki:
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. 19071-19079 - Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu:
Graph Neural Prompting with Large Language Models. 19080-19088 - Geng Tu, Tian Xie, Bin Liang, Hongpeng Wang, Ruifeng Xu:
Adaptive Graph Learning for Multimodal Conversational Emotion Detection. 19089-19097 - Qizhi Wan, Changxuan Wan, Keli Xiao, Kun Lu, Chenliang Li, Xiping Liu, Dexi Liu:
Dependency Structure-Enhanced Graph Attention Networks for Event Detection. 19098-19106 - Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu:
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. 19107-19115 - Dingzirui Wang, Longxu Dou, Wenbin Zhang, Junyu Zeng, Wanxiang Che:
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models. 19116-19125 - Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. 19126-19134 - Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu:
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning. 19135-19143 - Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li:
Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition. 19144-19152 - Ke Wang, Xiutian Zhao, Wei Peng:
Learning from Failure: Improving Meeting Summarization without Good Samples. 19153-19161 - Lei Wang, Yi Hu, Jiabang He, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen:
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering. 19162-19170 - Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen:
Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization. 19171-19179 - Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu:
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. 19180-19188 - Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. 19189-19196 - Ye Wang, Huazheng Pan, Tao Zhang, Wen Wu, Wenxin Hu:
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling. 19197-19205 - Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. 19206-19214 - Yueqian Wang, Yuxuan Wang, Kai Chen, Dongyan Zhao:
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering. 19215-19223 - Kaiwen Wei, Runyan Du, Li Jin, Jian Liu, Jianhua Yin, Linhao Zhang, Jintao Liu, Nayu Liu, Jingyuan Zhang, Zhi Guo:
Video Event Extraction with Multi-View Interaction Knowledge Distillation. 19224-19233 - Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen:
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. 19234-19242 - Mingmin Wu, Yuxue Hu, Yongcheng Zhang, Zeng Zhi, Guixin Su, Ying Sha:
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension. 19243-19251 - Sixing Wu, Jiong Yu, Jiahao Chen, Xiaofan Deng, Wei Zhou:
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge. 19252-19260 - Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu:
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling. 19261-19269 - Yangyu Wu, Xu Han, Wei Song, Miaomiao Cheng, Fei Li:
MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models. 19270-19278 - Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
De-biased Attention Supervision for Text Classification with Causality. 19279-19287 - Zhenyu Wu, Meng Jiang, Chao Shen:
Get an A in Math: Progressive Rectification Prompting. 19288-19296 - Min Xiao, Junnan Zhu, Feifei Zhai, Yu Zhou, Chengqing Zong:
DIUSum: Dynamic Image Utilization for Multimodal Summarization. 19297-19305 - Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li:
Automated Defect Report Generation for Enhanced Industrial Quality Control. 19306-19314 - Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee:
ALISON: Fast and Effective Stylometric Authorship Obfuscation. 19315-19322 - Yaoxun Xu, Hangting Chen, Jianwei Yu, Qiaochu Huang, Zhiyong Wu, Shi-Xiong Zhang, Guangzhi Li, Yi Luo, Rongzhi Gu:
SECap: Speech Emotion Captioning with Large Language Model. 19323-19331 - Chao Xue, Di Liang, Pengfei Wang, Jing Zhang:
Question Calibration and Multi-Hop Modeling for Temporal Question Answering. 19332-19340 - Xiaojun Xue, Chunxia Zhang, Tianxiang Xu, Zhendong Niu:
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification. 19341-19349 - Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang:
Tackling Vision Language Tasks through Learning Inner Monologues. 19350-19358 - Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee:
YTCommentQA: Video Question Answerability in Instructional Videos. 19359-19367 - Songhua Yang, Hanjie Zhao, Senbin Zhu, Guangyu Zhou, Hongfei Xu, Yuxiang Jia, Hongying Zan:
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue. 19368-19376 - Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He:
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. 19377-19385 - Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo:
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following. 19386-19394 - Shangjian Yin, Peijie Huang, Yuhong Xu:
Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction. 19395-19403 - Shuo Yin, Guoqiang Zhong:
TextGT: A Double-View Graph Transformer on Text for Aspect-Based Sentiment Analysis. 19404-19412 - Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan:
History Matters: Temporal Knowledge Editing in Large Language Model. 19413-19421 - Youngjoon Yoo, Jongwon Choi:
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation. 19422-19430 - Weihao You, Pengcheng Wang, Changlong Li, Zhilong Ji, Jinfeng Bai:
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition Evaluation. 19431-19439 - Junjie Yu, Xing Wang, Wenliang Chen:
Reliable Data Generation and Selection for Low-Resource Relation Extraction. 19440-19448 - Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. 19449-19457 - Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang:
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. 19458-19467 - Quan Yuan, Mehran Kazemi, Xin Xu, Isaac Noble, Vaiva Imbrasaite, Deepak Ramachandran:
TaskLAMA: Probing the Complex Task Understanding of Language Models. 19468-19476 - Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois:
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction. 19477-19487 - Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou:
Teaching Large Language Models to Translate with Comparison. 19488-19496 - Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang:
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning. 19497-19505 - Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen:
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. 19506-19514 - Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li:
A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators. 19515-19524 - Chenrui Zhang, Lin Liu, Chuyuan Wang, Xiao Sun, Hongyu Wang, Jinpeng Wang, Mingchen Cai:
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine. 19525-19532 - Congzhi Zhang, Linhai Zhang, Deyu Zhou:
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. 19533-19541 - Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu:
Visual Hallucination Elevates Speech Recognition. 19542-19550 - Junwei Zhang, Ruifang He, Fengyu Guo, Chang Liu:
Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation. 19551-19559 - Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou:
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. 19560-19568 - Xiaohui Zhang, Jiangyan Yi, Chenglong Wang, Chu Yuan Zhang, Siding Zeng, Jianhua Tao:
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection. 19569-19577 - Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang:
A Goal Interaction Graph Planning Framework for Conversational Recommendation. 19578-19587 - You Zhang, Jin Wang, Liang-Chih Yu, Dan Xu, Xuejie Zhang:
Personalized LoRA for Human-Centered Text Understanding. 19588-19596 - Yu Zhang, Rongjie Huang, Ruiqi Li, Jinzheng He, Yan Xia, Feiyang Chen, Xinyu Duan, Baoxing Huai, Zhou Zhao:
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis. 19597-19605 - Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. 19606-19614 - Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang:
LLMEval: A Preliminary Study on How to Evaluate Large Language Models. 19615-19622 - Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang:
Coreference Graph Guidance for Mind-Map Generation. 19623-19631 - Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang:
ExpeL: LLM Agents Are Experiential Learners. 19632-19642 - Rui Zhao, Liang Zhang, Biao Fu, Cong Hu, Jinsong Su, Yidong Chen:
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment. 19643-19651 - Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu:
Graph Reasoning Transformers for Knowledge-Aware Question Answering. 19652-19660 - Tanglong Zhao, Ruifang He, Jing Xu, Bo Wang:
MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships. 19661-19669 - Xingqiang Zhao, Hai Wan, Kunxun Qi:
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis. 19670-19678 - Hang Zheng, Qingsong Li, Shen Chen, Yuxuan Liang, Li Liu:
SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER. 19679-19687 - Li Zheng, Hao Fei, Fei Li, Bobo Li, Lizi Liao, Donghong Ji, Chong Teng:
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought. 19688-19696 - Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan:
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis. 19697-19705 - Yafang Zheng, Lei Lin, Shuangtao Li, Yuxuan Yuan, Zhaohong Lai, Shan Liu, Biao Fu, Yidong Chen, Xiaodong Shi:
Layer-Wise Representation Fusion for Compositional Generalization. 19706-19714 - Yongqiang Zheng, Xia Li:
You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification. 19715-19723 - Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang:
MemoryBank: Enhancing Large Language Models with Long-Term Memory. 19724-19731 - Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. 19732-19740 - Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen, Sen Su:
Quantifying and Analyzing Entity-Level Memorization in Large Language Models. 19741-19749 - Zihao Zhou, Qiufeng Wang, Mingyu Jin, Jie Yao, Jianan Ye, Wei Liu, Wei Wang, Xiaowei Huang, Kaizhu Huang:
MathAttack: Attacking Large Language Models towards Math Solving Ability. 19750-19758 - Hai Zhu, Qingyang Zhao, Weiwei Shang, Yuren Wu, Kai Liu:
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack. 19759-19767 - Qiushi Zhu, Jie Zhang, Yu Gu, Yuchen Hu, Lirong Dai:
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation. 19768-19776 - Zhihong Zhu, Xuxin Cheng, Yaowei Li, Hongxiang Li, Yuexian Zou:
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment. 19777-19785 - Xianwei Zhuang, Xuxin Cheng, Yuexian Zou:
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling. 19786-19794 - Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu:
Video-Context Aligned Transformer for Video Question Answering. 19795-19803
AAAI Technical Track on Philosophy and Ethics of AI
- Allen Chang, Matthew C. Fontaine, Serena Booth, Maja J. Mataric, Stefanos Nikolaidis:
Quality-Diversity Generative Sampling for Learning with Synthetic Data. 19805-19812 - Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu:
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. 19813-19822 - Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang:
Conditional Backdoor Attack via JPEG Compression. 19823-19831 - Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang:
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. 19832-19839 - Rebecca Gelles, Veronica Kinoshita, Micah Musser, James Dunham:
Resource Democratization: Is Compute the Binding Constraint on AI Research? 19840-19848 - Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li:
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? 19849-19857 - Xiaoyuan Guan, Jiankang Chen, Shenshen Bu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang:
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. 19858-19866 - Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang:
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively. 19867-19875 - Junli Jiang, Pavel Naumov:
The Logic of Doxastic Strategies. 19876-19883 - Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou:
MERGE: Fast Private Text Generation. 19884-19892 - Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-Shot Learning Suffer from Backdoor Attacks? 19893-19901 - Di Mi, Yanjun Zhang, Leo Yu Zhang, Shengshan Hu, Qi Zhong, Haizhuan Yuan, Shirui Pan:
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation. 19902-19910 - Tao Qi, Huili Wang, Yongfeng Huang:
Towards the Robustness of Differentially Private Federated Learning. 19911-19919 - Qi Shi:
Responsibility in Extensive Form Games. 19920-19928 - Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty:
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery. 19929-19936 - Taylor Sorensen, Liwei Jiang, Jena D. Hwang, Sydney Levine, Valentina Pyatkin, Peter West, Nouha Dziri, Ximing Lu, Kavel Rao, Chandra Bhagavatula, Maarten Sap, John Tasioulas, Yejin Choi:
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. 19937-19947 - Jazon Szabo, Natalia Criado, Jose Such, Sanjay Modgil:
Moral Uncertainty and the Problem of Fanaticism. 19948-19955 - Ritwik Vashistha, Arya Farahi:
U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making. 19956-19964 - Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang:
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution. 19965-19973 - Yi Xie, Jie Zhang, Shiqian Zhao, Tianwei Zhang, Xiaofeng Chen:
SAME: Sample Reconstruction against Model Extraction Attacks. 19974-19982 - Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang:
High-Fidelity Gradient Inversion in Distributed Learning. 19983-19991 - Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang:
Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales. 19992-20000 - Huixin Zhong, Eamonn O'Neill, Janina A. Hoffmann:
Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act. 20001-20009 - Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang:
Batch Normalization Is Blind to the First and Second Derivatives of the Loss. 20010-20018
AAAI Technical Track on Planning, Routing, and Scheduling
- Tsz-Chiu Au:
Block-Level Goal Recognition Design. 20020-20027 - Pascal Bachor, Gregor Behnke:
Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis. 20028-20035 - Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala:
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning. 20036-20043 - Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram, Fionn Mc Inerney:
The Complexity of Optimizing Atomic Congestion. 20044-20052 - Matthew Budd, Bruno Lacerda, Nick Hawes:
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles. 20053-20060 - Turgay Caglar, Sirine Belhaj, Tathagata Chakraborti, Michael Katz, Sarath Sreedharan:
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning. 20061-20069 - Matteo Cardellini, Enrico Giunchiglia, Marco Maratea:
Symbolic Numeric Planning with Patterns. 20070-20077 - Dillon Ze Chen, Sylvie Thiébaux, Felipe W. Trevizan:
Learning Domain-Independent Heuristics for Grounded and Lifted Planning. 20078-20086 - Kyungjin Cho, Jihun Shin, Eunjin Oh:
Approximate Distance Oracle for Fault-Tolerant Geometric Spanners. 20087-20095 - Mojtaba Elahi, Jussi Rintanen:
Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting. 20096-20103 - Alfonso Emilio Gerevini, Francesco Percassi, Enrico Scala:
An Effective Polynomial Technique for Compiling Conditional Effects Away. 20104-20112 - Jigyasa Gupta, Shreya Sharma, Shreshth Tuli, Rohan Paul, Mausam:
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following. 20113-20122 - Rishi Hazra, Pedro Zuidberg Dos Martires, Luc De Raedt:
SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge. 20123-20133 - Marcus Hörger, Hanna Kurniawati, Dirk P. Kroese, Nan Ye:
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees. 20134-20142 - David Klaska, Antonín Kucera, Vojtech Kur, Vít Musil, Vojtech Rehák:
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes. 20143-20150 - Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao Gao, Martin Müller:
Monte Carlo Tree Search in the Presence of Transition Uncertainty. 20151-20158 - Hai S. Le, Brendan Juba, Roni Stern:
Learning Safe Action Models with Partial Observability. 20159-20167 - Chao Lei, Nir Lipovetzky, Krista A. Ehinger:
Generalized Planning for the Abstraction and Reasoning Corpus. 20168-20175 - Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman:
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice. 20176-20184 - Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. 20185-20193 - Ruiqi Li, Leyang Cui, Songtuan Lin, Patrik Haslum:
NaRuto: Automatically Acquiring Planning Models from Narrative Texts. 20194-20202 - Songtuan Lin, Conny Olz, Malte Helmert, Pascal Bercher:
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence. 20203-20211 - Christian Muise, Sheila A. McIlraith, J. Christopher Beck:
PRP Rebooted: Advancing the State of the Art in FOND Planning. 20212-20221 - Stefan Panjkovic, Andrea Micheli:
Abstract Action Scheduling for Optimal Temporal Planning via OMT. 20222-20229 - Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo:
Generalising Planning Environment Redesign. 20230-20237 - Martín Pozo, Álvaro Torralba, Carlos Linares López:
When CEGAR Meets Regression: A Love Story in Optimal Classical Planning. 20238-20246 - Johannes Schmalz, Felipe W. Trevizan:
Efficient Constraint Generation for Stochastic Shortest Path Problems. 20247-20255 - Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. 20256-20264 - Jiwoo Son, Minsu Kim, Sanghyeok Choi, Hyeonah Kim, Jinkyoo Park:
Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context. 20265-20273 - Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou:
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. 20274-20283 - Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li:
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. 20284-20292 - Keyuan Zhang, Zhongdong Liu, Nakjung Choi, Bo Ji:
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem. 20293-20300
AAAI Technical Track on Reasoning under Uncertainty
- Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash:
s-ID: Causal Effect Identification in a Sub-population. 20302-20310 - Ziqiao Ao, Jinglai Li:
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design. 20311-20319 - Christel Baier, Roxane van den Bossche, Sascha Klüppelholz, Johannes Lehmann, Jakob Piribauer:
Backward Responsibility in Transition Systems Using General Power Indices. 20320-20327 - Amitay Bar, Rotem Mulayoff, Tomer Michaeli, Ronen Talmon:
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank. 20328-20336 - Ben Berger, Tomer Ezra, Michal Feldman, Federico Fusco:
Pandora's Problem with Deadlines. 20337-20343 - Soumia Boucherouite, Grigory Malinovsky, Peter Richtárik, El Houcine Bergou:
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization. 20344-20352 - Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang:
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. 20353-20361 - Adam D. Cobb, Brian Matejek, Daniel Elenius, Anirban Roy, Susmit Jha:
Direct Amortized Likelihood Ratio Estimation. 20362-20369 - Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, Hua Wei:
Probabilistic Offline Policy Ranking with Approximate Bayesian Computation. 20370-20378 - Julien Fageot, Sadegh Farhadkhani, Lê-Nguyên Hoang, Oscar Villemaud:
Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons. 20379-20386 - Simon Ferreira, Charles K. Assaad:
Identifiability of Direct Effects from Summary Causal Graphs. 20387-20394 - Andreas Goral, Joachim Giesen, Mark Blacher, Christoph Staudt, Julien Klaus:
Model Counting and Sampling via Semiring Extensions. 20395-20403 - Aaryan Gupta, Markus Bläser:
Identification for Tree-Shaped Structural Causal Models in Polynomial Time. 20404-20411 - Margot Herin, Patrice Perny, Nataliya Sokolovska:
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making. 20412-20419 - Shunsuke Horii, Yoichi Chikahara:
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model. 20420-20429 - Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang:
Learning Diffusions under Uncertainty. 20430-20437 - Wen Huang, Xintao Wu:
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach. 20438-20446 - Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie:
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference. 20447-20455 - Thomas Krapf, Michael Hagn, Paul Miethaner, Alexander Schiller, Lucas Luttner, Bernd Heinrich:
Piecewise Linear Transformation - Propagating Aleatoric Uncertainty in Neural Networks. 20456-20464 - Ang Li, Judea Pearl:
Probabilities of Causation with Nonbinary Treatment and Effect. 20465-20472 - Ang Li, Judea Pearl:
Unit Selection with Nonbinary Treatment and Effect. 20473-20480 - Jinzhao Li, Nan Jiang, Yexiang Xue:
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. 20481-20490 - Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao:
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. 20491-20499 - Malte Luttermann, Tanya Braun, Ralf Möller, Marcel Gehrke:
Colour Passing Revisited: Lifted Model Construction with Commutative Factors. 20500-20507 - Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. 20508-20515 - Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao:
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. 20516-20523 - Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao:
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. 20524-20531 - Vidya Sagar Sharma:
A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton. 20532-20539 - Shouta Sugahara, Koya Kato, Maomi Ueno:
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters. 20540-20549 - Armin Toroghi, Scott Sanner:
Bayesian Inference with Complex Knowledge Graph Evidence. 20550-20558 - Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic:
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. 20559-20566 - Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt:
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation. 20567-20576 - Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz:
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs. 20577-20584 - Kevin Xia, Elias Bareinboim:
Neural Causal Abstractions. 20585-20595 - Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. 20596-20603 - Shenbao Yu, Yifeng Zeng, Fan Yang, Yinghui Pan:
Causal-Driven Skill Prerequisite Structure Discovery. 20604-20612 - Weijia Zhang, Chun Kai Ling, Xuanhui Zhang:
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. 20613-20621
AAAI Technical Track on Search and Optimization
- Ahmed Abbas, Paul Swoboda:
DOGE-Train: Discrete Optimization on GPU with End-to-End Training. 20623-20631 - Florent Avellaneda, Roger Villemaire:
Delegation-Relegation for Boolean Matrix Factorization. 20632-20639 - Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang:
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. 20640-20648 - Qingyun Chen, Sungjin Im, Benjamin Moseley, Chenyang Xu, Ruilong Zhang:
Sampling for Beyond-Worst-Case Online Ranking. 20649-20656 - Samantha Chen, Puoya Tabaghi, Yusu Wang:
Learning Ultrametric Trees for Optimal Transport Regression. 20657-20665 - Xianrun Chen, Dachuan Xu, Yicheng Xu, Yong Zhang:
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants. 20666-20673 - Zhe Chen, Daniel Harabor, Jiaoyang Li, Peter J. Stuckey:
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding. 20674-20682 - Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca:
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. 20683-20691 - Simon Dold, Malte Helmert:
Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning. 20692-20699 - Kaan Gökcesu, Hakan Gökcesu:
Cumulative Regret Analysis of the Piyavskii-Shubert Algorithm and Its Variants for Global Optimization. 20700-20708 - Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue:
Efficient Constrained K-center Clustering with Background Knowledge. 20709-20717 - Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen:
Limited Query Graph Connectivity Test. 20718-20725 - Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono, Kazuhisa Seto, Ryu Suzuki:
Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover. 20726-20734 - Mingming Jin, Jiongzhi Zheng, Kun He:
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem. 20735-20742 - Ryo Kuroiwa, J. Christopher Beck:
Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming. 20743-20750 - Sofia Lemons, Wheeler Ruml, Robert C. Holte, Carlos Linares López:
Rectangle Search: An Anytime Beam Search. 20751-20758 - Haotian Ling, Zhihai Wang, Jie Wang:
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming. 20759-20767 - Lu Liu, Mingyu Xiao, Yi Zhou:
A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem. 20768-20776 - Tianhao Lu, Chao Bian, Chao Qian:
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. 20777-20785 - Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso:
Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates. 20786-20793 - Konstantin Sidorov, Gonçalo Homem De Almeida Correia, Mathijs de Weerdt, Emir Demirovic:
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths. 20794-20802 - Rui Sun, Zhi Zheng, Zhenkun Wang:
Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret. 20803-20811 - Hao Tian, Sourav Medya, Wei Ye:
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems. 20812-20820 - Hao Wang:
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting. 20821-20829 - Xiaofan Wang, Zhiyuan Deng, Changle Wang, Jinjia Wang:
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy. 20830-20837 - Xiaoyang Xu, Hu Ding:
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem. 20838-20846 - Yaoguang Zhai, Zhizhen Qin, Sicun Gao:
Sample-and-Bound for Non-convex Optimization. 20847-20855 - Qingyun Zhang, Yuming Du, Zhouxing Su, Chu-Min Li, Junzhou Xu, Zhihuai Chen, Zhipeng Lü:
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem. 20856-20864 - Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu:
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. 20865-20873 - Weijie Zheng, Benjamin Doerr:
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. 20874-20882 - Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr:
How to Use the Metropolis Algorithm for Multi-Objective Optimization? 20883-20891 - Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen:
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation. 20892-20900
AAAI Technical Track on Safe, Robust and Responsible AI Track
- Eslam Abdelrahman, Pengzhan Sun, Li Erran Li, Mohamed Elhoseiny:
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment. 20902-20911 - Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch, Frauke Liers, Arthur Miehlich:
A Framework for Data-Driven Explainability in Mathematical Optimization. 20912-20920 - Kasun Amarasinghe, Kit T. Rodolfa, Sérgio M. Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani:
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods. 20921-20929 - Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez:
Risk-Aware Continuous Control with Neural Contextual Bandits. 20930-20938 - Daniel Bethell, Simos Gerasimou, Radu Calinescu:
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction. 20939-20948 - Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li:
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving. 20949-20957 - Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu:
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study. 20958-20966 - Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu:
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning. 20967-20974 - Minjae Cho, Chuangchuang Sun:
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming. 20975-20983 - Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann:
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming. 20984-20992 - Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach:
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples. 20993-21000 - Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione:
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. 21001-21009 - Virginie Debauche, Alec Edwards, Raphaël M. Jungers, Alessandro Abate:
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions. 21010-21018 - Laurens Devos, Lorenzo Cascioli, Jesse Davis:
Robustness Verification of Multi-Class Tree Ensembles. 21019-21028 - Sumanta Dey, Pallab Dasgupta, Soumyajit Dey:
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL. 21029-21036 - Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. 21037-21045 - Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin:
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. 21046-21054 - Hasan Ferit Eniser, Valentin Wüstholz, Maria Christakis:
Automatically Testing Functional Properties of Code Translation Models. 21055-21062 - Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. 21063-21071 - Linkun Fan, Fazhi He, Tongzhen Si, Wei Tang, Bing Li:
Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain. 21072-21080 - Shuai Feng, Pengsheng Jin, Chongjun Wang:
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. 21081-21089 - Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization. 21090-21098 - Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll:
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. 21099-21106 - Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou:
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. 21107-21115 - Riccardo Guidotti, Anna Monreale, Mattia Setzu, Giulia Volpi:
Generative Model for Decision Trees. 21116-21124 - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Omega-Regular Decision Processes. 21125-21133 - Zayd Hammoudeh, Daniel Lowd:
Provable Robustness against a Union of L_0 Adversarial Attacks. 21134-21142 - Seunghoo Hong, Juhun Lee, Simon S. Woo:
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. 21143-21151 - Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. 21152-21160 - Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song:
On the Concept Trustworthiness in Concept Bottleneck Models. 21161-21168 - Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu:
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. 21169-21178 - Samyak Jain, Tanima Dutta:
Stronger and Transferable Node Injection Attacks. 21179-21187 - Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie:
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. 21188-21196 - Wenxiang Jiang, Hanwei Zhang, Xi Wang, Zhongwen Guo, Hao Wang:
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack. 21197-21205 - Yangdi Jiang, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, Bei Jiang:
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach. 21206-21213 - Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
Chasing Fairness in Graphs: A GNN Architecture Perspective. 21214-21222 - Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Assume-Guarantee Reinforcement Learning. 21223-21231 - Haitham Khedr, Yasser Shoukry:
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation. 21232-21240 - Hyunjune Kim, Sangyong Lee, Simon S. Woo:
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation. 21241-21248 - Minsu Kim, Seonghyeon Hwang, Steven Euijong Whang:
Quilt: Robust Data Segment Selection against Concept Drifts. 21249-21257 - Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki:
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples. 21258-21266 - Matthias König, Holger H. Hoos, Jan N. van Rijn:
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing. 21267-21275 - Merlijn Krale, Thiago D. Simão, Jana Tumova, Nils Jansen:
Robust Active Measuring under Model Uncertainty. 21276-21284 - Bo-Han Kung, Shang-Tse Chen:
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization. 21285-21293 - Brody Kutt, Pralay Ramteke, Xavier Mignot, Pamela Toman, Nandini Ramanan, Sujit Rokka Chhetri, Shan Huang, Min Du, William Hewlett:
Contrastive Credibility Propagation for Reliable Semi-supervised Learning. 21294-21303 - Tobias Ladner, Matthias Althoff:
Exponent Relaxation of Polynomial Zonotopes and Its Applications in Formal Neural Network Verification. 21304-21311 - Tobias Leemann, Martin Pawelczyk, Christian Thomas Eberle, Gjergji Kasneci:
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data. 21312-21321 - Francesco Leofante, Nico Potyka:
Promoting Counterfactual Robustness through Diversity. 21322-21330 - Fangqi Li, Haodong Zhao, Wei Du, Shilin Wang:
Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond. 21331-21339 - Xinke Li, Junchi Lu, Henghui Ding, Changsheng Sun, Joey Tianyi Zhou, Yeow Meng Chee:
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification. 21340-21348 - Shuang Liu, Yihan Wang, Xiao-Shan Gao:
Game-Theoretic Unlearnable Example Generator. 21349-21358 - Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang:
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning. 21359-21367 - Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham:
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. 21368-21377 - Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. 21378-21386 - Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. 21387-21394 - Shuyu Miao, Jian Liu, Lin Zheng, Hong Jin:
Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data. 21395-21402 - Abhijit Mishra, Mingda Li, Soham Deo:
SentinelLMs: Encrypted Input Adaptation and Fine-Tuning of Language Models for Private and Secure Inference. 21403-21411 - Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate:
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. 21412-21419 - Saemi Moon, Seunghyuk Cho, Dongwoo Kim:
Feature Unlearning for Pre-trained GANs and VAEs. 21420-21428 - Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan:
Reward Certification for Policy Smoothed Reinforcement Learning. 21429-21437 - Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu:
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. 21438-21445 - Alireza Nadali, Vishnu Murali, Ashutosh Trivedi, Majid Zamani:
Neural Closure Certificates. 21446-21453 - Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini:
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. 21454-21462 - Dexter Neo, Stefan Winkler, Tsuhan Chen:
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift. 21463-21472 - Minheng Ni, Chenfei Wu, Xiaodong Wang, Shengming Yin, Lijuan Wang, Zicheng Liu, Nan Duan:
ORES: Open-Vocabulary Responsible Visual Synthesis. 21473-21481 - Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Q-SENN: Quantized Self-Explaining Neural Networks. 21482-21491 - Genki Osada, Tsubasa Takahashi, Takashi Nishide:
Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection. 21492-21500 - Chao Pan, Qing Li, Xin Yao:
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training. 21501-21509 - Mateo Perez, Fabio Somenzi, Ashutosh Trivedi:
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs. 21510-21517 - Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
Robust Stochastic Graph Generator for Counterfactual Explanations. 21518-21526 - Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal:
Visual Adversarial Examples Jailbreak Aligned Large Language Models. 21527-21536 - Omer Reingold, Judy Hanwen Shen, Aditi Talati:
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance. 21537-21544 - Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. 21545-21553 - Lucas Rosenblatt, Julia Stoyanovich, Christopher Musco:
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy. 21554-21562 - Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. 21563-21573 - Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang:
Human-Guided Moral Decision Making in Text-Based Games. 21574-21582 - Stanley Simoes, Deepak P, Muiris MacCarthaigh:
Towards Fairer Centroids in K-means Clustering. 21583-21591 - Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise. 21592-21601 - Yuwei Sun, Hideya Ochiai:
Bidirectional Contrastive Split Learning for Visual Question Answering. 21602-21609 - Masoud Taghikhah, Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold:
Quantile-Based Maximum Likelihood Training for Outlier Detection. 21610-21618 - Zhen Tan, Tianlong Chen, Zhenyu Zhang, Huan Liu:
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention. 21619-21627 - Yun-Da Tsai, Cayon Liow, Yin Sheng Siang, Shou-De Lin:
Toward More Generalized Malicious URL Detection Models. 21628-21636 - Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao:
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. 21637-21645 - Giovanni Varricchione, Natasha Alechina, Mehdi Dastani, Giuseppe De Giacomo, Brian Logan, Giuseppe Perelli:
Pure-Past Action Masking. 21646-21655 - Akifumi Wachi, Wataru Hashimoto, Kazumune Hashimoto:
Long-Term Safe Reinforcement Learning with Binary Feedback. 21656-21663 - Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Identifying Reasons for Bias: An Argumentation-Based Approach. 21664-21672 - Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai:
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework. 21673-21680 - Min Wang, Hao Yang, Jincai Huang, Qing Cheng:
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. 21681-21689 - Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan:
Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks. 21690-21698 - Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira:
Physics-Informed Representation and Learning: Control and Risk Quantification. 21699-21707 - Honghao Wei, Xin Liu, Lei Ying:
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration. 21708-21716 - Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi:
Concealing Sensitive Samples against Gradient Leakage in Federated Learning. 21717-21725 - Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei:
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. 21726-21734 - Caiyi Yang, Javad Ghaderi:
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation. 21735-21743 - Weisong Yang, Rafael Poyiadzi, Niall Twomey, Raúl Santos-Rodríguez:
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood. 21744-21752 - Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu:
Providing Fair Recourse over Plausible Groups. 21753-21760 - Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. 21761-21769 - Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv:
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. 21770-21778 - Jiang Zhang, Qiong Wu, Yiming Xu, Cheng Cao, Zheng Du, Konstantinos Psounis:
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models. 21779-21787 - Yanci Zhang, Han Yu:
LR-XFL: Logical Reasoning-Based Explainable Federated Learning. 21788-21796 - Yunruo Zhang, Lujia Shen, Shanqing Guo, Shouling Ji:
GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers. 21797-21805 - Puning Zhao, Fei Yu, Zhiguo Wan:
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning. 21806-21814 - Shanshan Zhao, Wenhai Cui, Bei Jiang, Linglong Kong, Xiaodong Yan:
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility. 21815-21822 - Yue Zhao, Congyi Li, Kai Chen:
UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation. 21823-21831 - Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. 21832-21840 - Li Zhong, Zilong Wang:
Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation. 21841-21849 - Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen, Hualong Ma:
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. 21850-21858 - Pascal Zimmer, Sébastien Andreina, Giorgia Azzurra Marson, Ghassan Karame:
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks. 21859-21868 - Adam Zychowski, Andrew Perrault, Jacek Mandziuk:
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret. 21869-21877
AAAI Technical Track on AI for Social Impact Track
- Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. 21879-21887 - Gabriel Agostini, Emma Pierson, Nikhil Garg:
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing. 21888-21896 - Jatin Agrawal, Mukul Kumar, Avtansh Tiwari, Sachin Danisetty, Soma Dhavala, Nakul Jain, Prasaanth Balraj, Niket Singh, Siddhant Shingi, Jayakrishna Kurada, Raghuram Rao, S. Anand, Nishant Kumar:
Automatic Interpretation of Line Probe Assay Test for Tuberculosis. 21897-21904 - Inaam Ashraf, Janine Strotherm, Luca Hermes, Barbara Hammer:
Physics-Informed Graph Neural Networks for Water Distribution Systems. 21905-21913 - Thomas Bailie, Yun Sing Koh, Neelesh Rampal, Peter B. Gibson:
Quantile-Regression-Ensemble: A Deep Learning Algorithm for Downscaling Extreme Precipitation. 21914-21922 - Marcel R. de Barros, Andressa Pinto, Andres Monroy, Felipe M. Moreno, Jefferson F. Coelho, Aldomar Pietro Silva, Caio Fabricio Deberaldini Netto, José Roberto Leite, Marlon S. Mathias, Eduardo Aoun Tannuri, Artur Jordão, Edson S. Gomi, Fábio Gagliardi Cozman, Marcelo Dottori, Anna Helena Reali Costa:
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing. 21923-21931 - Cassidy K. Buhler, Hande Y. Benson:
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs. 21932-21939 - Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang:
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning. 21940-21948 - Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. 21949-21957 - Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. 21958-21966 - Zirong Chen, Xutong Sun, Yuanhe Li, Meiyi Ma:
Auto311: A Confidence-Guided Automated System for Non-emergency Calls. 21967-21975 - Hyunmin Choi, Simon S. Woo, Hyoungshick Kim:
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication. 21976-21985 - Jong In Choi, Won Kyung Lee, Jae Hwan Lee, So Young Sohn:
Identifying Guarantors of War Veterans Using Robust-SEAL: A Case of the Korean War. 21986-21994 - Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park:
Fair Sampling in Diffusion Models through Switching Mechanism. 21995-22003 - A. Feder Cooper, Katherine Lee, Madiha Zahrah Choksi, Solon Barocas, Christopher De Sa, James Grimmelmann, Jon M. Kleinberg, Siddhartha Sen, Baobao Zhang:
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. 22004-22012 - Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto:
Finding ε and δ of Traditional Disclosure Control Systems. 22013-22020 - Scott L. Fleming, Alejandro Lozano, William J. Haberkorn, Jenelle A. Jindal, Eduardo Pontes Reis, Rahul Thapa, Louis Blankemeier, Julian Z. Genkins, Ethan Steinberg, Ashwin Nayak, Birju S. Patel, Chia-Chun Chiang, Alison Callahan, Zepeng Huo, Sergios Gatidis, Scott J. Adams, Oluseyi Fayanju, Shreya J. Shah, Thomas Savage, Ethan Goh, Akshay S. Chaudhari, Nima Aghaeepour, Christopher D. Sharp, Michael A. Pfeffer, Percy Liang, Jonathan H. Chen, Keith E. Morse, Emma P. Brunskill, Jason A. Fries, Nigam H. Shah:
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records. 22021-22030 - Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha:
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. 22031-22039 - Soumitra Ghosh, Gopendra Vikram Singh, Jashn Arora, Asif Ekbal:
Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation. 22040-22048 - Shadan Golestan, Omid Ardakanian, Pierre Boulanger:
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments. 22049-22057 - Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. 22058-22066 - Marc Grimson, Rafael Almeida, Qinru Shi, Yiwei Bai, Hector Angarita, Felipe Siqueira Pacheco, Rafael Schmitt, Alexander Flecker, Carla P. Gomes:
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon. 22067-22075 - Parian Haghighat, Denisa Gándara, Lulu Kang, Hadis Anahideh:
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency. 22076-22086 - Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia:
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. 22087-22095 - Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen:
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. 22096-22104 - Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi:
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection. 22105-22113 - Yaowei Hu, Yongkai Wu, Lu Zhang:
Long-Term Fair Decision Making through Deep Generative Models. 22114-22122 - Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal:
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. 22123-22131 - Xu Huang, Chuyao Luo, Bowen Zhang, Huiwei Lin, Xutao Li, Yunming Ye:
iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction. 22132-22140 - Sameer Jain, Sedrick Scott Keh, Shova Chettri, Karun Dewan, Pablo Izquierdo, Johanna Prussman, Pooja Shrestha, César Suárez, Zheyuan Ryan Shi, Lei Li, Fei Fang:
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages. 22141-22149 - Doseok Jang, Larry Yan, Lucas Spangher, Costas J. Spanos:
Active Reinforcement Learning for Robust Building Control. 22150-22158 - Taeuk Jang, Xiaoqian Wang, Heng Huang:
Adversarial Fairness Network. 22159-22166 - Xinwei Ji, Xiaomin Chang, Wei Li, Albert Y. Zomaya:
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment. 22167-22175 - Ananya Joshi, Tina Townes, Nolan Gormley, Luke Neureiter, Roni Rosenfeld, Bryan Wilder:
Outlier Ranking for Large-Scale Public Health Data. 22176-22184 - Opadele Kehinde, Ruth Abdul, Bose Afolabi, Parminder Vir, Corinne Namblard, Ayan Mukhopadhyay, Abiodun Adereni:
Deploying ADVISER: Impact and Lessons from Using Artificial Intelligence for Child Vaccination Uptake in Nigeria. 22185-22192 - Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
Vector Field Oriented Diffusion Model for Crystal Material Generation. 22193-22201 - Jordi Laguarta Soler, Thomas Friedel, Sherrie Wang:
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types. 22202-22212 - Yansheng Li, Bo Dang, Wanchun Li, Yongjun Zhang:
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery. 22213-22221 - Bo Lin, Shoshanna Saxe, Timothy C. Y. Chan:
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing. 22222-22230 - Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Depression Detection via Capsule Networks with Contrastive Learning. 22231-22239 - Lydia T. Liu, Solon Barocas, Jon M. Kleinberg, Karen Levy:
On the Actionability of Outcome Prediction. 22240-22249 - Xiangrui Liu, Xiaoou Liu, Shan Du, Julian Cheng:
Hear You Say You: An Efficient Framework for Marine Mammal Sounds' Classification. 22250-22257 - Zhi Liu, Sarah Rankin, Nikhil Garg:
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling. 22258-22265 - Antoine Louis, Gijs van Dijck, Gerasimos Spanakis:
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models. 22266-22275 - Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany:
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. 22276-22284 - Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi:
Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. 22285-22293 - Gustavo Pérez, Subhransu Maji, Daniel Sheldon:
DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling. 22294-22302 - Gaurab Pokharel, Sanmay Das, Patrick J. Fowler:
Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning. 22303-22312 - Nihar Ranja Sahoo, Gyana Prakash Beria, Pushpak Bhattacharyya:
IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context. 22313-22321 - Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. 22322-22330 - Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. 22331-22340 - Eunseon Seong, Harim Lee, Dong-Kyu Chae:
Self-Supervised Framework Based on Subject-Wise Clustering for Human Subject Time Series Data. 22341-22349 - Omar Sharif, Madhusudan Basak, Tanzia Parvin, Ava Scharfstein, Alphonso Bradham, Jacob T. Borodovsky, Sarah E. Lord, Sarah Masud Preum:
Characterizing Information Seeking Events in Health-Related Social Discourse. 22350-22358 - Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Díaz-Aranda, José Aguilar, Antonio Fernández Anta, Antonio Ortega, Rosa Elvira Lillo:
Nowcasting Temporal Trends Using Indirect Surveys. 22359-22367 - Errikos Streviniotis, Athina Georgara, Filippo Bistaffa, Georgios Chalkiadakis:
FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels. 22368-22376 - Zhaohong Sun, Naoyuki Yamada, Yoshihiro Takenami, Daisuke Moriwaki, Makoto Yokoo:
Stable Matchings in Practice: A Constraint Programming Approach. 22377-22384 - Nicolas Troquard, Martina De Sanctis, Paola Inverardi, Patrizio Pelliccione, Gian Luca Scoccia:
Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning. 22385-22392 - Catalina Vajiac, Arun Frey, Joachim Baumann, Abigail Smith, Kasun Amarasinghe, Alice Lai, Kit T. Rodolfa, Rayid Ghani:
Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance. 22393-22400 - Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. 22401-22409 - Yifan Wang, Qining Zhang, Lei Ying, Chuan Zhou:
Deep Reinforcement Learning for Early Diagnosis of Lung Cancer. 22410-22419 - Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu:
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. 22420-22428 - R. Teal Witter, Lucas Rosenblatt:
I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. 22429-22437 - Jonathan Xu, Amna Elmustafa, Liya Weldegebriel, Emnet Negash, Richard Lee, Chenlin Meng, Stefano Ermon, David B. Lobell:
HarvestNet: A Dataset for Detecting Smallholder Farming Activity Using Harvest Piles and Remote Sensing. 22438-22446 - Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang:
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. 22447-22456 - Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. 22457-22465 - Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen:
Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. 22466-22474 - Zirui Yuan, Minglai Shao, Zhiqian Chen:
Graph Bayesian Optimization for Multiplex Influence Maximization. 22475-22483 - Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. 22484-22492 - Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li:
Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data. 22493-22501 - Zijie Zeng, Lele Sha, Yuheng Li, Kaixun Yang, Dragan Gasevic, Guanliang Chen:
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in Education. 22502-22510 - Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang:
Pre-trained Online Contrastive Learning for Insurance Fraud Detection. 22511-22519 - Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li:
UV-SAM: Adapting Segment Anything Model for Urban Village Identification. 22520-22528 - Yuyao Zhang, Ke Guo, Xiao Zhou:
Causally Aware Generative Adversarial Networks for Light Pollution Control. 22529-22537 - Zonghan Zhang, Zijian Zhang, Zhiqian Chen:
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization. 22538-22546 - Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniewski, Charu C. Aggarwal, Tyler Derr:
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation. 22547-22555 - Chengyuan Zhu, Yiyuan Yang, Kaixiang Yang, Haifeng Zhang, Qinmin Yang, C. L. Philip Chen:
AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System. 22556-22564 - Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin:
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. 22565-22573
Senior Member Presentation: Blue Sky Papers
- Craig Boutilier, Martin Mladenov, Guy Tennenholtz:
Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization. 22575-22583 - Pin-Yu Chen:
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning. 22584-22591 - Eugene C. Freuder:
Conversational Modeling for Constraint Satisfaction. 22592-22597 - Pat Langley:
Integrated Systems for Computational Scientific Discovery. 22598-22606 - Omer Lev:
Towards a More Burkean Approach to Computational Social Choice. 22607-22613 - Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio:
Regeneration Learning: A Learning Paradigm for Data Generation. 22614-22622
Senior Member Presentation: Bridge Sky Papers
- Hadi Hosseini:
The Fairness Fair: Bringing Human Perception into Collective Decision-Making. 22624-22631
Senior Member Presentation: Summary Sky Papers
- Edith Elkind, Svetlana Obraztsova, Nicholas Teh:
Temporal Fairness in Multiwinner Voting. 22633-22640 - Shengxin Liu, Xinhang Lu, Mashbat Suzuki, Toby Walsh:
Mixed Fair Division: A Survey. 22641-22649 - Mayank Vatsa, Anubhooti Jain, Richa Singh:
Adventures of Trustworthy Vision-Language Models: A Survey. 22658-22659
New Faculty Highlights
- Mohammad Abdulaziz:
Interactive Theorem Provers: Applications in AI, Opportunities, and Challenges. 22660 - Gregor Behnke:
Symbolic Reasoning Methods for AI Planning. 22661 - Lu Cheng:
Demystifying Algorithmic Fairness in an Uncertain World. 22662 - Kaize Ding:
Data-Efficient Graph Learning. 22663 - Xinya Du:
Making Natural Language Reasoning Explainable and Faithful. 22664 - Tejas Gokhale:
Towards Robust Visual Understanding: from Recognition to Reasoning. 22665 - Yunhui Guo:
Continual Learning in an Open and Dynamic World. 22666 - Josiah P. Hanna:
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction. 22667 - Trong Nghia Hoang:
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models. 22668 - Wei Hu:
Understanding Surprising Generalization Phenomena in Deep Learning. 22669 - Mengdi Huai:
Fostering Trustworthiness in Machine Learning Algorithms. 22670 - Wei Jin:
Deep Learning on Graphs: A Data-Centric Exploration. 22671 - Ashiqur R. KhudaBukhsh:
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense. 22672 - Yen-Ling Kuo:
Learning Representations for Robust Human-Robot Interaction. 22673 - Fanghui Liu:
The Role of Over-Parameterization in Machine Learning - the Good, the Bad, the Ugly. 22674 - Mingrui Liu:
Algorithmic Foundation of Federated Learning with Sequential Data. 22675 - Jing Ma:
When Causal Inference Meets Graph Machine Learning. 22676 - Pranava Madhyastha:
Towards Holistic, Pragmatic and Multimodal Conversational Systems. 22677 - Giuseppe Marra:
From Statistical Relational to Neuro-Symbolic Artificial Intelligence. 22678 - Christoforos I. Mavrogiannis:
Harmonious Mobility for Robots that Work with and around People. 22679 - Alberto Maria Metelli:
Recent Advancements in Inverse Reinforcement Learning. 22680 - Melanie Weber:
Exploiting Data Geometry in Machine Learning. 22681 - Tsui-Wei Lily Weng:
Towards Trustworthy Deep Learning. 22682 - Huaxiu Yao:
Towards Reliable Learning in the Wild: Generalization and Adaptation. 22683 - Quanming Yao:
Towards Human-like Learning from Relational Structured Data. 22684 - Wenbin Zhang:
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment. 22685 - Han Zhao:
Fair and Optimal Prediction via Post-Processing. 22686 - Yue Zhao:
Towards Reproducible, Automated, and Scalable Anomaly Detection. 22687 - Dawei Zhou:
Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation. 22688-22689
AAAI Journal Track
- Micheal Abaho, Yousef H. Alfaifi:
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint). 22690 - Saqib Ameen, Levi H. S. Lelis:
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint). 22691 - Pasquale Antonante, Heath Nilsen, Luca Carlone:
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint). 22692 - Alexander Braylan, Madalyn Marabella, Omar Alonso, Matthew Lease:
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint). 22693 - Tzu-Yi Chiu, Jerome Le Ny, Jean-Pierre David:
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint). 22694 - Giuseppe De Giacomo, Dror Fried, Fabio Patrizi, Shufang Zhu:
Mimicking Behaviors in Separated Domains (Abstract Reprint). 22695 - Eoin Delaney, Arjun Pakrashi, Derek Greene, Mark T. Keane:
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint). 22696 - Lewis Hammond, James Fox, Tom Everitt, Ryan Carey, Alessandro Abate, Michael J. Wooldridge:
Reasoning about Causality in Games (Abstract Reprint). 22697 - Matthew J. Holland, Kazuki Tanabe:
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint). 22698 - Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac:
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint). 22699 - Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi:
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint). 22700 - Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt:
Discovering Agents (Abstract Reprint). 22701 - W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, Peter Stone:
Reward (Mis)design for Autonomous Driving (Abstract Reprint). 22702 - Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern:
The Defeat of the Winograd Schema Challenge (Abstract Reprint). 22703 - Jian Li, Yong Liu, Weiping Wang:
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint). 22704 - Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou:
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). 22705 - Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). 22706 - Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla:
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint). 22707 - João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo:
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint). 22708 - Patrick Rodler:
Sequential Model-Based Diagnosis by Systematic Search (Abstract Reprint). 22709 - Baturay Saglam, Furkan B. Mutlu, Dogan C. Cicek, Suleyman S. Kozat:
Actor Prioritized Experience Replay (Abstract Reprint). 22710 - Arnab Sarker, Peter A. Fisher, Joseph E. Gaudio, Anuradha Annaswamy:
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint). 22711 - Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo:
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). 22712 - Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland, David Szepesvari, Finbarr Timbers, Brian Tanner, Adam White:
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint). 22713 - Seid Miad Zandavi:
Post-trained Convolution Networks for Single Image Super-resolution (Abstract Reprint). 22714-
IAAI Technical Track on Deployed Highly Innovative Applications of AI
- Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli, Muhammad Imran:
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping. 22716-22724 - Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Ritwik Chaudhuri, Rakesh Pimplikar, Sampath Dechu, Alex Straley, Anbumunee Ponniah, Renuka Sindhgatta:
Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs. 22725-22733 - Jirí Bednár, Jakub Náplava, Petra Barancíková, Ondrej Lisický:
Some Like It Small: Czech Semantic Embedding Models for Industry Applications. 22734-22742 - Thibault Falque, Gilles Audemard, Christophe Lecoutre, Bertrand Mazure:
Check-In Desk Scheduling Optimisation at CDG International Airport. 22743-22751 - Kyoung Jun Lee, Baek Jeong, Suhyeon Kim, Dam Kim, Dongju Park:
General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants. 22752-22760 - Kyungsik Lee, Hana Yoo, Sumin Shin, Wooyoung Kim, Yeonung Baek, Hyunjin Kang, Jaehyun Kim, Kee-Eung Kim:
A Submodular Optimization Approach to Accountable Loan Approval. 22761-22769 - Chang Liu, Peng Hou, Anxiang Zeng, Han Yu:
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. 22770-22778 - Pranay Lohia, Laurent Boué, Sharath Ranganath, Vijay Agneeswaran:
High Significant Fault Detection in Azure Core Workload Insights. 22779-22787 - Anqi Lu, Zifeng Wu, Zheng Jiang, Wei Wang, Eerdun Hasi, Yi Wang:
DCV2I: A Practical Approach for Supporting Geographers' Visual Interpretation in Dune Segmentation with Deep Vision Models. 22788-22796 - Sheng Jie Lui, Cheng Xiang, Shonali Krishnaswamy:
KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing. 22797-22805 - Johannes Rehm, Irina Reshodko, Stian Zimmermann Børresen, Odd Erik Gundersen:
The Virtual Driving Instructor: Multi-Agent System Collaborating via Knowledge Graph for Scalable Driver Education. 22806-22814 - Yuliang Shi, Lin Cheng, Cheng Jiang, Hui Zhang, Guifeng Li, Xiaoli Tang, Han Yu, Zhiqi Shen, Cyril Leung:
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment. 22815-22823 - Hao Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu, Xiuli Wang, Qijie Ding, Zengxiang Li, Han Yu:
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation. 22824-22832 - Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan:
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. 22833-22841
IAAI Technical Track on Emerging Applications of AI
- Prerna Agarwal, Harshit Dave, Jayachandu Bandlamudi, Renuka Sindhgatta, Kushal Mukherjee:
Multi-Stage Prompting for Next Best Agent Recommendations in Adaptive Workflows. 22843-22849 - J. Fredrik R. Bjørnland, Yrjar Gedde, Johannes Rehm, Irina Reshodko, Odd Erik Gundersen:
A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level. 22850-22856 - Marc W. Brittain, Luis E. Alvarez, Kara Breeden:
Improving Autonomous Separation Assurance through Distributed Reinforcement Learning with Attention Networks. 22857-22863 - Glenn Bruns, Michael Haidar:
Neural Bookmarks: Information Retrieval with Deep Learning and EEG Data. 22864-22870 - Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos:
CHRONOS: A Schema-Based Event Understanding and Prediction System. 22871-22877 - Muntabir Hasan Choudhury, Lamia Salsabil, William A. Ingram, Edward A. Fox, Jian Wu:
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations. 22878-22884 - Rupasree Dey, Alan Fern:
Data-Driven Structural Fire Risk Prediction for City Properties. 22885-22891 - Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P. Chapman, Eric L. Garland, Tauhidur Rahman:
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors. 22892-22898 - Sawinder Kaur, Yi Xiao, Asif Salekin:
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch. 22899-22905 - Harsh Kumar, Tong Li, Jiakai Shi, Ilya Musabirov, Rachel Kornfield, Jonah Meyerhoff, Ananya Bhattacharjee, Chris J. Karr, Theresa Nguyen, David C. Mohr, Anna N. Rafferty, Sofia S. Villar, Nina Deliu, Joseph Jay Williams:
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. 22906-22912 - Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja:
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms. 22913-22919 - Bingxuan Li, Antonio Castellanos, Pengyi Shi, Amy R. Ward:
Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management. 22920-22926 - ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu:
TelTrans: Applying Multi-Type Telecom Data to Transportation Evaluation and Prediction via Multifaceted Graph Modeling. 22927-22933 - Karol Lynch, Bradley Eck, Joern Ploennigs:
Symbol Description Reading. 22934-22940 - Prateeti Mohapatra, Gargi Dasgupta:
A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation. 22941-22947 - Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. 22948-22954 - Anh N. Nhu, Abderahmen Zoghbi:
BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope. 22955-22961 - Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj:
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. 22962-22968 - Krishu K. Thapa, Bhupinderjeet Singh, Supriya Savalkar, Alan Fern, Kirti Rajagopalan, Ananth Kalyanaraman:
Attention-Based Models for Snow-Water Equivalent Prediction. 22969-22975 - Bhavan Vasu, Steven Lu, Emily Dunkel, Kiri L. Wagstaff, Kevin Grimes, Michael McAuley:
Interactive Mars Image Content-Based Search with Interpretable Machine Learning. 22976-22982 - Monika Wysoczanska, Moran Beladev, Karen Lastmann Assaraf, Fengjun Wang, Ofri Kleinfeld, Gil Amsalem, Hadas Harush Boker:
Tell Me What Is Good about This Property: Leveraging Reviews for Segment-Personalized Image Collection Summarization. 22983-22989 - Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow:
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. 22990-22996
IAAI Technical Track on Deployed Innovative Tools for Enabling AI Applications
- Serdar Kadioglu, Bernard Kleynhans:
Building Higher-Order Abstractions from the Components of Recommender Systems. 22998-23004 - Md. Nasim, Xinghang Zhang, Anter El-Azab, Yexiang Xue:
End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning. 23005-23011 - Neil Thompson, Martin Fleming, Benny J. Tang, Anna M. Pastwa, Nicholas Borge, Brian C. Goehring, Subhro Das:
A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning. 23012-23018
IAAI Technical Track on Innovative Inter-disciplinary AI Integration
- Maira Alvi, Tim French, Philip Keymer, Rachel Cardell-Oliver:
Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning. 23020-23026 - Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe:
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. 23027-23033
IAAI Technical Track on AI Incidents and Best Practices
- Arihant Chadda, Sean McGregor, Jesse Hostetler, Andrea Brennen:
AI Evaluation Authorities: A Case Study Mapping Model Audits to Persistent Standards. 23035-23040 - Kathrin Grosse, Lukas Bieringer, Tarek R. Besold, Battista Biggio, Alexandre Alahi:
When Your AI Becomes a Target: AI Security Incidents and Best Practices. 23041-23046 - Eli Sherman, Ian W. Eisenberg:
AI Risk Profiles: A Standards Proposal for Pre-deployment AI Risk Disclosures. 23047-23052 - Christina P. Walker, Daniel S. Schiff, Kaylyn Jackson Schiff:
Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database. 23053-23058
EAAI Symposium: Main track
- Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Elena Gandolfi, Cristina Gena, Francesco Ianì, Elisa Marengo, Roberto Micalizio, Amon Rapp, Ivan Nabil Ras:
Does Any AI-Based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes. 23060-23068 - Nancye Blair Black, Stacy George, Amy Eguchi, J. Camille Dempsey, Elizabeth Langran, Lucretia Fraga, Stein Brunvand, Nicol Howard:
A Framework for Approaching AI Education in Educator Preparation Programs. 23069-23077 - Eric Eaton, Susan L. Epstein:
Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges. 23078-23083 - Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban:
How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. 23084-23091 - Anisha Gupta, Seung Y. Lee, Bradford W. Mott, Srijita Chakraburty, Krista D. Glazewski, Anne T. Ottenbreit-Leftwich, J. Adam Scribner, Cindy E. Hmelo-Silver, James C. Lester:
Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning. 23092-23100 - Suren Jayasuriya, Kimberlee Swisher, Joshua D. Rego, Sreenithy Chandran, John Mativo, Terri Kurz, Cerenity E. Collins, Dawn T. Robinson, Ramana Pidaparti:
ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons. 23101-23109 - Robert Kasumba, Marion Neumman:
Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing. 23110-23118 - Long Pham, Barry O'Sullivan, Teresa Scantamburlo, Tai Tan Mai:
Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities. 23119-23127 - Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela:
A Toolbox for Modelling Engagement with Educational Videos. 23128-23136 - Zhonghao Shi, Amy O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani, Maja J. Mataric:
Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education. 23137-23145 - Benjamin Xie, Parth Sarin, Jacob Wolf, Raycelle C. C. Garcia, Victoria Delaney, Isabel Sieh, Anika Fuloria, Deepak Varuvel Dennison, Christine Bywater, Victor R. Lee:
Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers. 23146-23154 - Zhenyu Xu, Victor S. Sheng:
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models. 23155-23162
EAAI Symposium: AI for Education
- Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Ying-Chih Chen:
CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs. 23164-23172 - Li-Hsin Chang, Filip Ginter:
Automatic Short Answer Grading for Finnish with ChatGPT. 23173-23181 - Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas:
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. 23182-23190 - Fahmid Morshed Fahid, Jonathan P. Rowe, Yeojin Kim, Shashank Srivastava, James C. Lester:
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments. 23191-23199 - Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav, Varun Aggarwal:
Towards Building a Language-Independent Speech Scoring Assessment. 23200-23206 - Jay Mahajan, Samuel Hum, Jack Henhapl, Diya Yunus, Matthew Gadbury, Emi Brown, Jeffrey Ginger, H. Chad Lane:
MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery. 23207-23214 - Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi:
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. 23215-23223 - Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione:
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition. 23224-23231 - Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu:
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. 23232-23240 - Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu:
From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis. 23241-23249 - Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas W. Price, Noboru Matsuda, Dongkuan Xu:
Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming. 23250-23258
EAAI Symposium: Resources for Teaching AI in K-12
- Safinah Ali, Prerna Ravi, Katherine S. Moore, Hal Abelson, Cynthia Breazeal:
A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators. 23260-23267 - Safinah Ali, Prerna Ravi, Randi Williams, Daniella DiPaola, Cynthia Breazeal:
Constructing Dreams Using Generative AI. 23268-23275 - Elham Buxton, Elahe Javadi, Matthew Hagaman:
Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7-10. 23276-23284 - Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté, Bradford W. Mott:
Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game. 23285-23293 - Elizabeth Radday, Matt Mervis:
AI, Ethics, and Education: The Pioneering Path of Sidekick Academy. 23294-23299 - Deepak Varuvel Dennison, Raycelle C. C. Garcia, Parth Sarin, Jacob Wolf, Christine Bywater, Benjamin Xie, Victor R. Lee:
From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students. 23300-23308 - Randi Williams, Sharifa Alghowinem, Cynthia Breazeal:
Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students. 23309-23317 - Helen Zhang, Irene Lee, Katherine S. Moore:
An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms. 23318-23325
EAAI: Mentored Undergraduate Research Challenge: AI for Accessibility in Comm
- Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh, Taeyeong Choi:
"Allot?" is "A Lot!" Towards Developing More Generalized Speech Recognition System for Accessible Communication. 23327-23334 - Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi, Xin Liu:
EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals. 23335-23342 - Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu:
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. 23343-23351 - Adilson Medronha, Luís Lima, Janaína Claudio, Lucas S. Kupssinskü, Rodrigo C. Barros:
LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition. 23352-23359 - Hoang Nhat Khang Vo, Duc Dong Le, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Duc Nguyen, Tran Minh Hieu Vo, Tho Quan:
Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes. 23360-23368
EAAI Symposium: Model AI Assignment Abstracts
- Todd W. Neller, Pia Bideau, David Bierbach, Wolfgang Hönig, Nir Lipovetzky, Christian Muise, Lino Coria, Claire Wong, Stephanie Rosenthal, Yu Lu, Ming Gao, Jingjing Zhang:
Model AI Assignments 2024. 23370-23371
AAAI Doctoral Consortium Track
- Shishir Adhikari:
Discovering Heterogeneous Causal Effects in Relational Data. 23373-23374 - Pedram Agand:
Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving. 23375-23376 - Nathan Arnold:
Tiered Coalition Formation Game Stability and Simulation. 23377-23378 - Saugat Aryal:
Semi-factual Explanations in AI. 23379-23380 - Salena Torres Ashton:
Domain Engineering to Represent Human Behavior Using Multi-Agent Planning and Inductive Methodologies. 23381-23382 - Amine Barrak:
The Promise of Serverless Computing within Peer-to-Peer Architectures for Distributed ML Training. 23383-23384 - Joachim Baumann:
Identifying, Mitigating, and Anticipating Bias in Algorithmic Decisions. 23385-23386 - Raffaele Galliera:
Deep Reinforcement Learning for Communication Networks. 23387-23388 - Balint Gyevnar:
Towards Trustworthy Autonomous Systems via Conversations and Explanations. 23389-23390 - Md. Khairul Islam:
Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models. 23391-23392 - Changhoon Kim:
Risk Management in Image Generative Models through Model Fingerprinting. 23393-23394 - Andrii Krutsylo:
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning. 23395-23396 - Michael S. Lee:
Making AI Policies Transparent to Humans through Demonstrations. 23397-23398 - Sukanya Mandal:
A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities. 23399-23400 - Deepa Muralidhar:
Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems. 23401-23402 - Rashmeet Kaur Nayyar:
Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning. 23403-23404 - Mbithe Nzomo:
A Hybrid AI Framework for Sensor-Based Personal Health Monitoring towards Precision Health. 23405-23406 - Elizabeth Akinyi Ondula:
Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning. 23407-23408 - Md Maklachur Rahman:
Target Focused Shallow Transformer Framework for Efficient Visual Tracking. 23409-23410 - Célian Ringwald:
Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data. 23411-23412 - Deepayan Sanyal:
Learning from an Infant's Visual Experience. 23413-23414 - Sangwon Seo:
AI-Assisted Human Teamwork. 23415-23416 - Naman Shah:
Learning Neuro-Symbolic Abstractions for Robot Planning and Learning. 23417-23418 - Ke Shen:
The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning. 23419-23420 - Nisha Simon:
Does Robin Hood Use a Lightsaber?: Automated Planning for Storytelling. 23421-23422 - Aaquib Tabrez:
Autonomous Policy Explanations for Effective Human-Machine Teaming. 23423-23424 - Fiona Anting Tan:
To Know the Causes of Things: Text Mining for Causal Relations. 23425-23426 - Pulkit Verma:
Data Efficient Paradigms for Personalized Assessment of Black-Box Taskable AI Systems. 23427-23428 - Luisa Werner:
Neuro-Symbolic Integration for Reasoning and Learning on Knowledge Graphs. 23429-23430 - Yuan Yang:
Visual Abstract Reasoning in Computational Imagery. 23431-23432
AAAI Student Abstract and Poster Program
- Adin Aberbach, Mayank Kejriwal, Ke Shen:
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). 23434-23435 - Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa:
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract). 23436-23438 - Amine Barrak:
Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract). 23439-23440 - Anthony Bazhenov, Pahan Dewasurendra, Giri Krishnan, Jean Erik Delanois:
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract). 23441-23442 - Tuhin Kumar Biswas, Avisek Gupta, Narayan Changder, Redha Taguelmimt, Samir Aknine, Samiran Chattopadhyay, Animesh Dutta:
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract). 23443-23444 - Rickard Brännvall:
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract). 23445-23446 - Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski:
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). 23447-23448 - Angela Chen, Nicholas Gisolfi, Artur Dubrawski:
Data-Driven Discovery of Design Specifications (Student Abstract). 23449-23450 - Bin Chen, Kai Yang, Wenxin Tai, Zhangtao Cheng, Leyuan Liu, Ting Zhong, Fan Zhou:
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract). 23451-23453 - Tianyi Chen, Feiqi Cao, Yihao Ding, Soyeon Caren Han:
The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract). 23454-23455 - Xiaojian Chen, Chuyue Liao, Yanhui Gu, Yafei Li, Jinlan Wang, Yi Chen, Masaru Kitsuregawa:
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract). 23456-23457 - Zhuo Chen, Haimei Zhao, Chaoyue Wang, Bo Yuan, Xiu Li:
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract). 23458-23459 - Zhuo Chen, Haimei Zhao, Bo Yuan, Xiu Li:
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract). 23460-23461 - Taoyong Cui, Yuhan Dong:
Simple Orthogonal Graph Representation Learning (Student Abstract). 23462-23464 - Taoyong Cui, Yuhan Dong:
Contrastive Learning for Low-Light Raw Denoising (Student Abstract). 23465-23467 - Luca D'Amico-Wong, Gary Qiurui Ma, David C. Parkes:
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract). 23468-23470 - Narjes Delpisheh, Yllias Chali:
Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract). 23471-23472 - Junzhe Ding, Yufei Que, Jin Zhang, Cheng Wu:
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract). 23473-23474 - Shane Donnelly, Ayan Dutta:
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract). 23475-23476 - Danilo Dordevic, Vukasin Bozic, Joseph Thommes, Daniele Coppola, Sidak Pal Singh:
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract). 23477-23479 - Conor Duggan, Zhengyu Li, Curtis Bright, Vijay Ganesh:
A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract). 23480-23481 - Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski:
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). 23482-23483 - Yimeng Fan, Pedram Agand, Mo Chen, Edward J. Park, Allison Kennedy, Chanwoo Bae:
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract). 23484-23485 - Wancheng Feng, Yingchao Liu, Jiaming Pei, Wenxuan Liu, Chunpeng Tian, Lukun Wang:
Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract). 23486-23487 - Grant C. Forbes, David L. Roberts:
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract). 23488-23489 - Hongzhu Fu, Fan Zhou, Qing Guo, Qiang Gao:
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract). 23490-23491 - Shaz Furniturewala, Surgan Jandial, Abhinav Java, Simra Shahid, Pragyan Banerjee, Balaji Krishnamurthy, Sumit Bhatia, Kokil Jaidka:
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract). 23492-23493 - Alessio Galatolo, Katie Winkle:
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract). 23494-23496 - Agasthya Gangavarapu:
Multilingual Medical Language Models: A Path to Improving Lay Health Worker Effectiveness (Student Abstract). 23497-23499 - Liyuan Gao, Matthew Zhang, Victor S. Sheng:
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). 23500-23502 - Jaidev Gill, Vala Vakilian, Christos Thrampoulidis:
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract). 23503-23505 - Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu:
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). 23506-23507 - Julien Guité-Vinet, Alexandre Blondin Massé, Fatiha Sadat:
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract). 23508-23509 - Aarushi Gupta, Yuexing Hao, Yuting Yang, Tiancheng Yuan, Matthias Wieland, Parminder S. Basran, Ken Birman:
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract). 23510-23511 - Ruiqi He, Carlos G. Correa, Tom Griffiths, Mark K. Ho:
Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract). 23512-23513 - Jinyu Hong, Ping Kuang, Qiang Gao, Fan Zhou:
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract). 23514-23515 - Madhav Hota, Adel Khorramrouz, Ashiqur R. KhudaBukhsh:
Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract). 23516-23517 - Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang:
Explainable Earnings Call Representation Learning (Student Abstract). 23518-23520 - Piyush Jha, Joseph Scott, Jaya Sriram Ganeshna, Mudit Singh, Vijay Ganesh:
BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract). 23521-23522 - Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong:
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract). 23523-23524 - Amelia Jobe, Richard Ky, Sandra Luo, Akshay Dhamsania, Sumit Purohit, Edoardo Serra:
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). 23525-23527 - Jinsun Jung, Hyeoneui Kim:
Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract). 23528-23529 - Eul Ka, Seungeun Go, Minjin Kwak, Jeong-Hun Kim, Aziz Nasridinov:
Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract). 23530-23532 - Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne:
Effective Data Distillation for Tabular Datasets (Student Abstract). 23533-23534 - Seungwoo Kang, Ohyun Jo:
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract). 23535-23536 - Yash Kankariya, Suguman Bansal:
Decompositions in Compositional Translation of LTLf to DFA (Student Abstract). 23537-23538 - Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi:
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract). 23539-23541 - Jongseok Kim, Ohyun Jo:
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract). 23542-23543 - Taeyoung Kim, Dongsoo Har:
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract). 23544-23545 - Rui Kong, Chenyang Wu, Zongzhang Zhang:
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). 23546-23547 - Ryan Koo, Yekyung Kim, Dongyeop Kang, Jaehyung Kim:
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract). 23548-23549 - Daya Kumar, Abhijith Sharma, Apurva Narayan:
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract). 23550-23551 - Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). 23552-23553 - Mu-Tien Kuo, Chih-Chung Hsueh, Richard Tzong-Han Tsai:
Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models' Explanations (Student Abstract). 23554-23555 - Yue Lei, Bin Chen, Wenxin Tai, Ting Zhong, Fan Zhou:
Shallow Diffusion for Fast Speech Enhancement (Student Abstract). 23556-23558 - Zhengyu Li, Curtis Bright, Vijay Ganesh:
A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract). 23559-23560 - Jiaxin Liang, Junping Zhou, Minghao Yin:
Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract). 23561-23562 - Hanyue Liu, Haonan Cheng, Long Ye:
DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract). 23563-23564 - Shixuan Liu, Chao Wang, Shuangyong Song:
icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract). 23565-23566 - Alexandru Lopotenco, Ian Tong Pan, Jack Zhang, Guan Xiong Qiao:
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract). 23567-23568 - Fangyuan Luo, Jun Wu:
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). 23569-23570 - Yuefeng Ma, Zhongchao He, Shumei Wang:
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract). 23571-23572 - Wei Mao, Guihong Wan, Haim Schweitzer:
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract). 23573-23575 - Michal Maras, Michal Kepa, Jakub Kowalski, Marek Szykula:
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract). 23576-23578 - Josué Martínez-Martínez, Olivia Brown, Rajmonda Caceres:
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract). 23579-23581 - Vladimir Mashurov, Natalia Semenova:
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract). 23582-23584 - Woohyeon Moon, Sarvar Hussain Nengroo, Taeyoung Kim, Jihui Lee, Seungah Son, Dongsoo Har:
Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract). 23585-23586 - Nikita Morozov, Artur Ignatiev, Yuriy Dementiev:
Several Stories about High-Multiplicity EFx Allocation (Student Abstract). 23587-23589 - Christine Mwase, Albert Njoroge Kahira, Zhuo Zou:
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract). 23590-23591 - Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor:
SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract). 23592-23593 - Dexter Neo:
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract). 23594-23596 - Tzeh Yuan Neoh, Nicholas Teh:
Welfare Maximization in Perpetual Voting (Student Abstract). 23597-23599 - Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang, Xiaoping Zhou:
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract). 23600-23601 - Aleksander Obuchowski, Barbara Klaudel, Piotr Frackowski, Sebastian Krajna, Wasyl Badyra, Michal Czubenko, Zdzislaw Kowalczuk:
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract). 23602-23603 - James T. Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi:
Large Language Models as Planning Domain Generators (Student Abstract). 23604-23605 - Dylan Pallickara, Sarath Sreedharan:
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract). 23606-23607 - Suraj Pandey:
Neuroevolution of a Multi-Generator GAN (Student Abstract). 23608-23609 - Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou:
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract). 23610-23612 - Bumgeun Park, Taeyoung Kim, Quoc-Vinh Lai-Dang, Dongsoo Har:
Virtual Action Actor-Critic Framework for Exploration (Student Abstract). 23613-23614 - Juneyoung Park, Jae-Ryung Hong, Min-Hye Kim, Tae-Joon Kim:
Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract). 23615-23617 - Morgan Payette, Charlotte Curtis:
QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract). 23618-23620 - Jiaming Pei, Wei Li, Lukun Wang:
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract). 23621-23622 - Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek:
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). 23623-23625 - Md Maklachur Rahman, Tracy Hammond:
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract). 23626-23627 - Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad:
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract). 23628-23630 - Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl:
Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract). 23631-23632 - Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang:
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract). 23633-23634 - Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi:
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract). 23635-23636 - Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim:
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract). 23637-23639 - Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang:
Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract). 23640-23641 - Richard Sances, Olivera Kotevska, Paul Laiu:
Frequency Oracle for Sensitive Data Monitoring (Student Abstract). 23642-23643 - Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski:
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). 23644-23646 - Devan Shah, Ruoqi Huang, Tingting Chen, Murtuza Jadliwala:
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract). 23647-23648 - Takumu Shimizu, Ryota Higa, Katsuhide Fujita, Shinji Nakadai:
Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract). 23649-23650 - Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski:
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). 23651-23652 - Akshit Singh:
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract). 23653-23654 - Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta, Nikhar Waghela, Shivank Garg:
Confidence Is All You Need for MI Attacks (Student Abstract). 23655-23656 - Jan Sobotka, Petr Simánek:
Investigation into Training Dynamics of Learned Optimizers (Student Abstract). 23657-23658 - William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi:
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). 23659-23660 - Linpeng Sun, Victor S. Sheng:
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract). 23661-23663 - Adrian Swindle, Derrick McNealy, Giri P. Krishnan, Ramyaa Ramyaa:
Evaluation of Large Language Models on Code Obfuscation (Student Abstract). 23664-23666 - Hui Tang, Xun Liang, Sensen Zhang:
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract). 23667-23668 - Cindy Tong, Rosanna Yuen-Yan Chan:
Gaze-Based Interaction Adaptation for People with Involuntary Head Movements (Student Abstract). 23669-23670 - Aryan Tyagi, Aryaman Rao, Shubhanshu Rao, Raj Kumar Singh:
COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations (Student Abstract). 23671-23672 - Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer:
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract). 23673-23675 - Deliang Wang:
Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract). 23676-23678 - Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng:
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract). 23679-23681 - Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao, Ting Zhong:
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract). 23682-23683 - Keefer P. Wu, Patricia C. Tsang:
Intersection of Artificial Intelligence and Medical Education (Student Abstract). 23684-23685 - Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng:
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract). 23686-23687 - Zhenyu Xu, Ruoyu Xu, Victor S. Sheng:
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract). 23688-23689 - Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu, Peter K. Sorger, Yevgeniy R. Semenov:
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract). 23690-23692 - Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong, Guangqiang Yin, Yong Wang:
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract). 23693-23695 - Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong, Bei Hui, Fan Zhou:
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract). 23696-23698 - Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou:
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract). 23699-23700 - Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou:
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract). 23701-23702 - Wenhuan Zeng, Daniel H. Huson:
Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract). 23703-23704 - Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu, Ting Zhong, Kunpeng Zhang:
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract). 23705-23706 - Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng, Yuefeng Ma:
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract). 23707-23708 - Ye Zhang, Yanqi Gao, Yupeng Zhou, Jianan Wang, Minghao Yin:
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract). 23709-23711 - Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu:
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract). 23712-23713 - Brian Zhou, Jason Geder, Kamal Viswanath, Alisha Sharma, Julian Lee:
Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract). 23714-23716 - Yujian Zhu, Hao Ding, Zongzhang Zhang:
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). 23717-23719
AAAI Undergraduate Consortium
- Oluwanifemi Adebayo Moses Adekanye:
LLM-Powered Synthetic Environments for Self-Driving Scenarios. 23721-23723 - Varun Ananth:
Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models. 23724-23725 - Amy Au:
Evaluating AI Red Teaming's Readiness to Address Environmental Harms: A Thematic Analysis of LLM Discourse. 23726-23728 - Adam Baji:
Enhancing Healthcare Predictions with Deep Learning Models. 23729-23730 - Hanlin Cai:
Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques. 23731-23732 - Minghai Chen:
Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution. 23733-23735 - Chahana Dahal:
Revolutionizing Education through AI-Powered Inclusive Learning Systems. 23736-23737 - Joseph Fatoye:
Enhancing Robotics with Cognitive Capabilities. 23738-23739 - Isaiah Gallardo:
Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data. 23740-23741 - Cassandra Goldberg:
Statistically Principled Deep Learning for SAR Image Segmentation. 23742-23743 - Hannah Guan:
A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates. 23744-23746 - Javon Hickmon:
Multimodal Ensembling for Zero-Shot Image Classification. 23747-23749 - Fiona Luo:
Vision-Language Models for Robot Success Detection. 23750-23752 - Erica Okeh:
Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality. 23753-23754 - Nilton Rojas:
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World. 23755-23756 - Kevin Shen:
Multi-world Model in Continual Reinforcement Learning. 23757-23759 - Tanisha Shende:
AI-Enhanced Art Appreciation: Generating Text from Artwork to Promote Inclusivity. 23760-23762 - Yitong Tang:
Adapted Weighted Aggregation in Federated Learning. 23763-23765 - Ada Tur:
Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation. 23766-23767 - Zhengguang Wang:
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models. 23768-23770
AAAI Demonstration Track
- Munkhtulga Battogtokh, Cosmin Davidescu, Michael Luck, Rita Borgo:
SemLa: A Visual Analysis System for Fine-Grained Text Classification. 23772-23774 - Tathagata Chakraborti, Jungkoo Kang, Francesco Fuggitti, Michael Katz, Shirin Sohrabi:
Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction. 23775-23777 - Rohan Chandra, Zayne Sprague, Joydeep Biswas:
SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces. 23778-23780 - Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Yunyao Li:
Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs. 23781-23783 - Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. 23784-23786 - Clyde Fare, George K. Holt, Lamogha Chiazor, Michail Smyrnakis, Robert Tracey, Lan Hoang:
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery. 23787-23789 - Shubh Goyal, Medha Hira, Shubham Mishra, Sukriti Goyal, Arnav Goel, Niharika Dadu, Kirushikesh D. B., Sameep Mehta, Nishtha Madaan:
LLMGuard: Guarding against Unsafe LLM Behavior. 23790-23792 - Weiwei Gu, Anant Sah, Nakul Gopalan:
Interactive Visual Task Learning for Robots. 23793-23795 - Jiatong Han, Warut Suksompong:
Fast & Fair: A Collaborative Platform for Fair Division Applications. 23796-23798 - Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino:
Tools Identification By On-Board Adaptation of Vision-and-Language Models. 23799-23801 - Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang, Zhenhui Ye, Yuning Wu, Zhiqing Hong, Jiawei Huang, Jinglin Liu, Yi Ren, Yuexian Zou, Zhou Zhao, Shinji Watanabe:
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. 23802-23804 - Saurav Joshi, Filip Ilievski, Jay Pujara:
Knowledge-Powered Recommendation for an Improved Diet Water Footprint. 23805-23807 - Hsing-Yuan Ma, Hen-Hsen Huang, Chao-Lin Liu:
Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents. 23808-23810 - Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang:
MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. 23811-23813 - Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar:
ESG Accountability Made Easy: DocQA at Your Service. 23814-23816 - Terufumi Morishita, Yuta Koreeda, Atsuki Yamaguchi, Gaku Morio, Osamu Imaichi, Yasuhiro Sogawa:
CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information. 23817-23819 - Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns:
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. 23820-23822 - Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth:
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. 23823-23825 - Trinita Roy, Asheesh Kumar, Daksh Raghuvanshi, Siddhant Jain, Goutham Vignesh, Kartik Shinde, Rohan Tondulkar:
SciSpace Copilot: Empowering Researchers through Intelligent Reading Assistance. 23826-23828 - Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. 23829-23831 - Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. 23832-23834 - Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani:
EmFORE: Learning Email Folder Classification Rules by Demonstration. 23835-23837 - Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov:
Interactive Human-Centric Bias Mitigation. 23838-23840 - Jiaying Wang, Shuailing Hao, Jing Shan, Xiaoxu Song:
Visual Language - Let the Product Say What You Want. 23841-23843 - Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng:
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games. 23844-23846 - Umer Waqas, Yunwan Jeon, Donghun Lee:
Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity. 23847-23849 - Lianlong Wu, Seewon Choi, Daniel Raggi, Aaron Stockdill, Grecia Garcia Garcia, Fiorenzo Colarusso, Peter C.-H. Cheng, Mateja Jamnik:
Generation of Visual Representations for Multi-Modal Mathematical Knowledge. 23850-23852 - Tiancheng Zhang, Shaoyuan Huang, Cheng Zhang, Xiaofei Wang, Wenyu Wang:
EasyTS: The Express Lane to Long Time Series Forecasting. 23853-23855 - Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He:
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. 23856-23858 - Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui:
NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. 23859-23861
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