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ORCID36th AAAI 2022
- Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. AAAI Press 2022, ISBN 978-1-57735-876-3
AAAI Technical Track on Cognitive Modeling & Cognitive Systems
- Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera:
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders. 3-10 - Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. 11-20 - Francesco D'Amore
, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou:
Planning with Biological Neurons and Synapses. 21-28 - Alexander G. Ororbia II, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. 29-37 - Kwanyoung Park, Hyunseok Oh, Youngki Lee:
VECA: A New Benchmark and Toolkit for General Cognitive Development. 38-48 - Yuqi Ren, Deyi Xiong:
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. 49-58 - Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu:
Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning. 59-67
AAAI Technical Track on Computer Vision I
- Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, Youngmoon Lee:
Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg. 69-76 - Jianqiao An, Yuandu Lai, Yahong Han:
Logic Rule Guided Attribution with Dynamic Ablation. 77-85 - Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim:
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video. 86-94 - Seung-Hwan Bae:
Deformable Part Region Learning for Object Detection. 95-103 - Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. 104-112 - Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang:
Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning. 113-121 - Le Minh Binh, Simon S. Woo:
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. 122-130 - Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Jenq-Neng Hwang, Kelsey Magrane, Craig S. Rose:
LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition. 131-139 - Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu:
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. 140-148 - Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif:
Context-Aware Transfer Attacks for Object Detection. 149-157 - Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye:
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. 158-166 - Shuqiang Cao, Bairui Wang, Wei Zhang, Lin Ma:
Visual Consensus Modeling for Video-Text Retrieval. 167-175 - Xiangyong Cao, Yang Chen, Wenfei Cao:
Proximal PanNet: A Model-Based Deep Network for Pansharpening. 176-184 - Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu:
CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection. 185-193 - Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. 194-202 - Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. 203-211 - Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. 212-220 - Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao:
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. 221-229 - Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma:
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. 230-238 - Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-Based Person Re-identification. 239-247 - Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu:
DCAN: Improving Temporal Action Detection via Dual Context Aggregation. 248-257 - Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao:
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. 258-266 - Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma:
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding. 267-275 - Jin Chen, Xiaofeng Ji, Xinxiao Wu:
Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning. 276-284 - Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue:
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution. 285-293 - Jinsong Chen, Hu Han, Shiguang Shan:
Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion. 294-302 - Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha:
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. 303-311 - Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Attacking Video Recognition Models with Bullet-Screen Comments. 312-320 - Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. 321-329 - Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-Guided Transformer for Zero-Shot Learning. 330-338 - Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. 339-346 - Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo:
SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification. 347-355 - Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang:
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification. 356-364 - Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu:
Guide Local Feature Matching by Overlap Estimation. 365-373 - Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang:
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition. 374-382 - Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Deep One-Class Classification via Interpolated Gaussian Descriptor. 383-392 - Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo:
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization. 393-400 - Zhi Chen, Fan Yang, Wenbing Tao:
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration. 401-409 - Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao:
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. 410-418 - Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang:
Efficient Virtual View Selection for 3D Hand Pose Estimation. 419-426 - Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu:
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. 427-435 - Yihua Cheng, Yiwei Bao, Feng Lu:
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation. 436-443 - Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux:
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering. 444-453 - Hoonhee Cho, Kuk-Jin Yoon:
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation. 454-462 - Jaewoong Choi, Dae Ha Kim, Byung Cheol Song:
Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. 463-471 - Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan:
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation. 472-480 - Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. 481-489 - Hainan Cui, Shuhan Shen:
MMA: Multi-Camera Based Global Motion Averaging. 490-498 - Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu:
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data. 499-507 - Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao:
Unbiased IoU for Spherical Image Object Detection. 508-515 - Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. 516-524 - Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. 525-533 - Jinpeng Dong, Yuhao Huang, Songyi Zhang, Shitao Chen, Nanning Zheng:
Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection. 534-541 - Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua:
Complementary Attention Gated Network for Pedestrian Trajectory Prediction. 542-550 - Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du:
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. 551-560 - Shihong Fang, Anna Choromanska:
Backdoor Attacks on the DNN Interpretation System. 561-570 - Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. 571-579 - Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu:
Perceptual Quality Assessment of Omnidirectional Images. 580-588 - Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar:
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. 589-597 - Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang:
DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction. 598-606 - Zhengcong Fei:
Attention-Aligned Transformer for Image Captioning. 607-615 - Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. 616-624 - Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu:
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression. 625-633 - Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. 634-642 - Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding:
Unsupervised Underwater Image Restoration: From a Homology Perspective. 643-651 - Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. 652-660 - Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu:
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution. 661-669 - Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang:
Weakly-Supervised Salient Object Detection Using Point Supervison. 670-678 - Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. 679-687 - Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng:
Lifelong Person Re-identification by Pseudo Task Knowledge Preservation. 688-696 - Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. 697-705 - Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. 706-714 - Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko:
Predicting Physical World Destinations for Commands Given to Self-Driving Cars. 715-725 - Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Light-Weight and Real-Time Line Segment Detection. 726-734 - Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi:
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning. 735-743 - Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Lizhuang Ma:
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection. 744-752 - Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang:
Assessing a Single Image in Reference-Guided Image Synthesis. 753-761 - Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding:
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition. 762-770 - Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia:
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. 771-779 - Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang:
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. 780-789 - Jian Han, Ya-Li Li, Shengjin Wang:
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification. 790-798 - Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang:
Laneformer: Object-Aware Row-Column Transformers for Lane Detection. 799-807 - Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng:
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. 808-816 - Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan:
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption. 817-825 - Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou:
RRL: Regional Rotate Layer in Convolutional Neural Networks. 826-833 - Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang:
QueryProp: Object Query Propagation for High-Performance Video Object Detection. 834-842 - Jinzheng He, Zhou Zhao, Yi Ren, Jinglin Liu, Baoxing Huai, Nicholas Jing Yuan:
Flow-Based Unconstrained Lip to Speech Generation. 843-851 - Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang:
TransFG: A Transformer Architecture for Fine-Grained Recognition. 852-860 - Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. 861-869 - Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu:
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds. 870-878 - Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo:
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. 879-887 - Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du:
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. 888-896 - David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. 897-905 - Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu:
Uncertainty-Driven Dehazing Network. 906-913 - Yan Hong, Li Niu, Jianfu Zhang:
Shadow Generation for Composite Image in Real-World Scenes. 914-922 - Liping Hou, Ke Lu, Jian Xue, Yuqiu Li:
Shape-Adaptive Selection and Measurement for Oriented Object Detection. 923-932 - Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang:
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. 933-941 - Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Networks. 942-950 - Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin:
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos. 951-959 - Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu:
Bi-volution: A Static and Dynamic Coupled Filter. 960-968 - Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu:
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds. 969-979 - Zhengdong Hu, Yifan Sun, Yi Yang, Jianguang Zhou:
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification. 980-988 - Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. 989-997 - Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang:
Deconfounded Visual Grounding. 998-1006 - Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong:
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation. 1007-1015 - Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He:
Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation. 1016-1025 - Yecheng Huang, Jiaxin Chen, Di Huang:
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery. 1026-1033 - Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha:
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification. 1034-1042 - Md Mofijul Islam, Tariq Iqbal:
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion. 1043-1051 - Haedong Jeong, Jiyeon Han, Jaesik Choi:
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. 1052-1059 - Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi:
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations. 1060-1068 - Jian Jia, Naiyu Gao, Fei He, Xiaotang Chen, Kaiqi Huang:
Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition. 1069-1077 - Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin:
Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement. 1078-1086 - Meirui Jiang, Zirui Wang, Qi Dou:
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. 1087-1095 - Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang:
Coarse-to-Fine Generative Modeling for Graphic Layouts. 1096-1103 - Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji:
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior. 1104-1112 - Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng:
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. 1113-1121 - Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu:
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. 1122-1130 - Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. 1131-1139 - Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau:
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. 1140-1147 - Inhan Kim, Joonyeong Lee, Daijin Kim:
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving. 1148-1156 - Jung Uk Kim, Sungjune Park, Yong Man Ro:
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory. 1157-1165 - Junhan Kim, Kyuhong Shim, Byonghyo Shim:
Semantic Feature Extraction for Generalized Zero-Shot Learning. 1166-1173 - Minsu Kim, Jeong Hun Yeo, Yong Man Ro:
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading. 1174-1182 - Sunwoo Kim, Soohyun Kim, Seungryong Kim:
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer. 1183-1191 - Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
PrivateSNN: Privacy-Preserving Spiking Neural Networks. 1192-1200 - Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim:
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. 1201-1209 - Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi:
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. 1210-1218
AAAI Technical Track on Computer Vision II
- Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. 1220-1227 - Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang:
Siamese Network with Interactive Transformer for Video Object Segmentation. 1228-1236 - Wooju Lee, Hyun Myung:
Adversarial Attack for Asynchronous Event-Based Data. 1237-1244 - Youngjo Lee, Hongje Seong, Euntai Kim:
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. 1245-1253 - Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem:
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation. 1254-1262 - Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo:
Shrinking Temporal Attention in Transformers for Video Action Recognition. 1263-1271 - Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng:
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer. 1272-1279 - Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang:
Interpretable Generative Adversarial Networks. 1280-1288 - Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai:
Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark. 1289-1296 - Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu:
You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation. 1297-1305 - Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang:
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. 1306-1313 - Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-supervised Object Detection. 1314-1322 - Jiangtong Li, Li Niu, Liqing Zhang:
Action-Aware Embedding Enhancement for Image-Text Retrieval. 1323-1331 - Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. 1332-1340 - Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. 1341-1349 - Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. 1350-1358 - Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Logit Perturbation. 1359-1366 - Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang:
Neighborhood-Adaptive Structure Augmented Metric Learning. 1367-1375 - Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. 1376-1385 - Shidi Li, Miaomiao Liu, Christian Walder:
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. 1386-1394 - Shuo Li, Fang Liu, Licheng Jiao:
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. 1395-1403 - Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition. 1404-1411 - Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu:
Best-Buddy GANs for Highly Detailed Image Super-resolution. 1412-1420 - Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan:
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. 1421-1428 - Xiang Li, Jinglu Wang, Xiao Li, Yan Lu:
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation. 1429-1437 - Yi Li, Yi Chang, Changfeng Yu, Luxin Yan:
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation. 1438-1446 - Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li:
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. 1447-1455 - Yidi Li, Hong Liu, Hao Tang:
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. 1456-1463 - Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. 1464-1472 - Yishi Li, Kunran Xu, Rui Lai, Lin Gu:
Towards an Effective Orthogonal Dictionary Convolution Strategy. 1473-1481 - Yu-Ke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan:
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting. 1482-1490 - Yunqiang Li, Silvia-Laura Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. 1491-1499 - Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. 1500-1508 - Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong:
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. 1509-1517 - Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough. 1518-1526 - Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou:
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification. 1527-1535 - Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang:
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction. 1536-1545 - Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu:
One More Check: Making "Fake Background" Be Tracked Again. 1546-1554 - Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou:
Semantically Contrastive Learning for Low-Light Image Enhancement. 1555-1563 - Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. 1564-1573 - Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long:
Inharmonious Region Localization by Magnifying Domain Discrepancy. 1574-1582 - Junxiong Liang, Pei An, Jie Ma:
Distribution Aware VoteNet for 3D Object Detection. 1583-1591 - Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang:
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. 1592-1600 - Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu:
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. 1601-1609 - Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu:
A Causal Debiasing Framework for Unsupervised Salient Object Detection. 1610-1619 - Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu:
A Causal Inference Look at Unsupervised Video Anomaly Detection. 1620-1629 - Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang:
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. 1630-1637 - Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang:
Dynamic Spatial Propagation Network for Depth Completion. 1638-1646 - Biyang Liu, Huimin Yu, Yangqi Long:
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks. 1647-1655 - Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai:
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition. 1656-1664 - Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. 1665-1673 - Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. 1674-1682 - Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. 1683-1691 - Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang:
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks. 1692-1701 - Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren:
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition. 1702-1710 - Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang:
AnchorFace: Boosting TAR@FAR for Practical Face Recognition. 1711-1719 - Jialun Liu, Wenhui Li, Yifan Sun:
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory. 1720-1728 - Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha:
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification. 1729-1737 - Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Jing Yuan, Zhou Zhao:
Parallel and High-Fidelity Text-to-Lip Generation. 1738-1746 - Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian:
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers. 1747-1755 - Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. 1756-1764 - Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan:
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. 1765-1772 - Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu:
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. 1773-1781 - Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma:
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing. 1782-1791 - Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang:
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. 1792-1800 - Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou:
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing. 1801-1809 - Xianpeng Liu, Nan Xue, Tianfu Wu:
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. 1810-1818 - Xinpeng Liu, Yong-Lu Li, Cewu Lu:
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection. 1819-1827 - Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. 1828-1836 - Yuang Liu, Wei Zhang, Jun Wang:
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. 1837-1845 - Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha:
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. 1846-1853 - Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. 1854-1862 - Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou:
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction. 1863-1871 - Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu:
PMAL: Open Set Recognition via Robust Prototype Mining. 1872-1880 - Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez:
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images. 1881-1889 - Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu:
Learning Optical Flow with Adaptive Graph Reasoning. 1890-1898 - Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. 1899-1907 - Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. 1908-1916 - Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. 1917-1925 - Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. 1926-1934 - Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li:
Generative Adaptive Convolutions for Real-World Noisy Image Denoising. 1935-1943 - Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu:
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos. 1944-1952 - Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. 1953-1961 - Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. 1962-1971 - Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Towards Bridging Sample Complexity and Model Capacity. 1972-1980 - Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan:
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints. 1981-1989 - Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh:
Can Vision Transformers Learn without Natural Images? 1990-1998 - Yifan Niu, Weihong Deng:
Federated Learning for Face Recognition with Gradient Correction. 1999-2007 - Hao Ouyang, Tengfei Wang, Qifeng Chen:
Restorable Image Operators with Quasi-Invertible Networks. 2008-2016 - Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür:
TEACh: Task-Driven Embodied Agents That Chat. 2017-2025 - Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. 2026-2034 - Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less Is More: Pay Less Attention in Vision Transformers. 2035-2043 - Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu:
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning. 2044-2052 - Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim:
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds. 2053-2061 - Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro:
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory. 2062-2070 - Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. 2071-2081 - Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun:
Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation. 2082-2090 - Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. 2091-2098 - Xuwei Qian, Renlong Hang, Qingshan Liu:
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. 2099-2107 - Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang:
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation. 2108-2116 - Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. 2117-2125 - Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song:
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning. 2126-2134 - Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. 2135-2143 - Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Decompose the Sounds and Pixels, Recompose the Events. 2144-2152 - Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira:
Learning from Label Proportions with Prototypical Contrastive Clustering. 2153-2161 - Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. 2162-2170 - Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. 2171-2179 - Seonguk Seo, Joon-Young Lee, Bohyung Han:
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. 2180-2188 - Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. 2189-2197 - Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang:
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. 2198-2206 - Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng:
Explainable Survival Analysis with Convolution-Involved Vision Transformer. 2207-2215 - Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. 2216-2224 - Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang:
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. 2225-2234 - Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua:
Social Interpretable Tree for Pedestrian Trajectory Prediction. 2235-2243 - Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou:
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence. 2244-2252 - Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu:
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. 2253-2261 - Dipika Singhania, Rahul Rahaman, Angela Yao:
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation. 2262-2270 - Nan Song, Tianyuan Jiang, Jian Yao:
JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection. 2271-2279 - Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang:
Fully Attentional Network for Semantic Segmentation. 2280-2288 - Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu:
Self-Supervised Object Localization with Joint Graph Partition. 2289-2297 - Jianhua Sun, Haoshu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu:
Correlation Field for Boosting 3D Object Detection in Structured Scenes. 2298-2306 - Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. 2307-2315 - Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. 2316-2324 - Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong:
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. 2325-2334 - Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto:
Adversarial Bone Length Attack on Action Recognition. 2335-2343 - Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng:
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? 2344-2351 - Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng:
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective. 2352-2360 - Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming:
Transfer Learning for Color Constancy via Statistic Perspective. 2361-2369 - Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen:
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval. 2370-2378 - Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. 2379-2387 - Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang:
MTLDesc: Looking Wider to Describe Better. 2388-2396 - Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu:
Active Boundary Loss for Semantic Segmentation. 2397-2405 - Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Online-Updated High-Order Collaborative Networks for Single Image Deraining. 2406-2413 - Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen:
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. 2414-2422 - Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng:
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism. 2423-2430 - Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. 2431-2439
AAAI Technical Track on Computer Vision III
- Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane:
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. 2441-2449 - Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu:
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. 2450-2458 - Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. 2459-2467 - Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. 2468-2476 - Kaihong Wang, Kumar Akash, Teruhisa Misu:
Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow. 2477-2486 - Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan:
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving. 2487-2494 - Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. 2495-2503 - Qiangchang Wang, Guodong Guo:
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition. 2504-2512 - Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang:
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval. 2513-2521 - Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-resolution. 2522-2530 - Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu:
One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. 2531-2539 - Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi:
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. 2540-2549 - Xuzhi Wang, Di Lin, Liang Wan:
FFNet: Frequency Fusion Network for Semantic Scene Completion. 2550-2557 - Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang:
Privacy-Preserving Face Recognition in the Frequency Domain. 2558-2566 - Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun:
Anchor DETR: Query Design for Transformer-Based Detector. 2567-2575 - Yinhuai Wang, Yujie Hu, Jian Zhang:
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration. 2576-2584 - Yiyu Wang, Jungang Xu, Yingfei Sun:
End-to-End Transformer Based Model for Image Captioning. 2585-2594 - Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng:
Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network. 2595-2603 - Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot:
Low-Light Image Enhancement with Normalizing Flow. 2604-2612 - Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu:
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. 2613-2623 - Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu:
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer. 2624-2632 - Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang:
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification. 2633-2641 - Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, Qi Tian:
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? 2642-2650 - Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. 2651-2658 - Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Boosting the Transferability of Video Adversarial Examples via Temporal Translation. 2659-2667 - Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang:
Towards Transferable Adversarial Attacks on Vision Transformers. 2668-2676 - Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi:
L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions. 2677-2684 - Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz:
Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields. 2685-2693 - Changjie Wu, Jun Du, Yunqing Li, Jianshu Zhang, Chen Yang, Bo Ren, Yiqing Hu:
TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition. 2694-2702 - Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li:
Learning Token-Based Representation for Image Retrieval. 2703-2711 - Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi:
Multi-Modal Answer Validation for Knowledge-Based VQA. 2712-2721 - Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan:
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. 2722-2730 - Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo:
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. 2731-2739 - Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. 2740-2749 - Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang:
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. 2750-2758 - Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou:
Efficient Non-local Contrastive Attention for Image Super-resolution. 2759-2767 - Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou:
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution. 2768-2776 - Haifeng Xia, Zhengming Ding:
Cross-Domain Collaborative Normalization via Structural Knowledge. 2777-2785 - Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. 2786-2794 - Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu:
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. 2795-2803 - Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. 2804-2812 - Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He:
AdaptivePose: Human Parts as Adaptive Points. 2813-2821 - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang:
Learning Quality-Aware Representation for Multi-Person Pose Regression. 2822-2830 - Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang:
Attribute-Based Progressive Fusion Network for RGBT Tracking. 2831-2838 - Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao:
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function. 2839-2847 - Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu:
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration. 2848-2856 - Jun-Peng Xu, Chenyu Zuo, Fang-Lue Zhang, Miao Wang:
Rendering-Aware HDR Environment Map Prediction from a Single Image. 2857-2865 - Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie:
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. 2866-2874 - Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai:
Transcoded Video Restoration by Temporal Spatial Auxiliary Network. 2875-2883 - Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai:
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation. 2884-2892 - Qiangeng Xu, Yiqi Zhong, Ulrich Neumann:
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. 2893-2901 - Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie:
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. 2902-2910 - Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang:
Dual Attention Networks for Few-Shot Fine-Grained Recognition. 2911-2919 - Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao:
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation. 2920-2928 - Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng:
Towards Fully Sparse Training: Information Restoration with Spatial Similarity. 2929-2937 - Xiaogang Xu, Ning Xu:
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection. 2938-2945 - Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu:
Reliable Propagation-Correction Modulation for Video Object Segmentation. 2946-2954 - Xixia Xu, Qi Zou, Xue Lin:
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation. 2955-2963 - Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. 2964-2972 - Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding:
MobileFaceSwap: A Lightweight Framework for Video Face Swapping. 2973-2981 - Bin Yan, Mingtao Pei:
Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation. 2982-2990 - Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. 2991-2999 - Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. 3000-3008 - Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. 3009-3017 - Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang:
Cross-Species 3D Face Morphing via Alignment-Aware Controller. 3018-3026 - Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang:
Exploring Visual Context for Weakly Supervised Person Search. 3027-3035 - Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang:
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. 3036-3044 - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Mutual Contrastive Learning for Visual Representation Learning. 3045-3053 - Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Background Constraint. 3054-3062 - Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu:
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning. 3063-3071 - Yang Yang, Jifeng Chen, Xiaopin Zhong, Yuanlong Deng:
Polygon-to-Polygon Distance Loss for Rotated Object Detection. 3072-3080 - Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang:
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. 3081-3089 - Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. 3090-3098 - Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation. 3099-3107 - Linli Yao, Weiying Wang, Qin Jin:
Image Difference Captioning with Pre-training and Contrastive Learning. 3108-3116 - Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. 3117-3124 - Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers:
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. 3125-3133 - Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. 3134-3142 - Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui:
Width & Depth Pruning for Vision Transformers. 3143-3151 - Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu:
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting. 3152-3160 - Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Novel Category Discovery over Domains. 3161-3169 - Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. 3170-3178 - Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. 3179-3187 - Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan:
SOIT: Segmenting Objects with Instance-Aware Transformers. 3188-3196 - Ge Yuan, Huicheng Zheng, Jiayu Dong:
MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition. 3197-3205 - Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu:
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. 3206-3214 - Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma:
Task-Level Self-Supervision for Cross-Domain Few-Shot Learning. 3215-3223 - Ilwi Yun, Hyuk-Jae Lee, Chae-Eun Rhee:
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning. 3224-3233 - Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li:
Homography Decomposition Networks for Planar Object Tracking. 3234-3242 - Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang:
Patch Diffusion: A General Module for Face Manipulation Detection. 3243-3251 - Fangyuan Zhang, Tianxiang Pan, Bin Wang:
Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training. 3252-3261 - Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang:
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching. 3262-3270 - Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu:
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. 3271-3279 - Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. 3280-3290 - Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin:
Attention-Based Transformation from Latent Features to Point Clouds. 3291-3299 - Manlin Zhang, Jinpeng Wang, Andy J. Ma:
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning. 3300-3308 - Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun:
LGD: Label-Guided Self-Distillation for Object Detection. 3309-3317 - Quan Zhang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie:
Uncertainty Modeling with Second-Order Transformer for Group Re-identification. 3318-3325 - Tao Zhang, Ying Fu, Cheng Li:
Deep Spatial Adaptive Network for Real Image Demosaicing. 3326-3334 - Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang:
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning. 3335-3343 - Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan:
Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation. 3344-3352 - Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu:
Context-Based Contrastive Learning for Scene Text Recognition. 3353-3361 - Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge:
Learning Network Architecture for Open-Set Recognition. 3362-3370 - Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang:
An Adversarial Framework for Generating Unseen Images by Activation Maximization. 3371-3379 - Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu:
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation. 3380-3389 - Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao:
Pose-Invariant Face Recognition via Adaptive Angular Distillation. 3390-3398 - Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. 3399-3407 - Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou:
PetsGAN: Rethinking Priors for Single Image Generation. 3408-3416 - Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister:
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. 3417-3425 - Lifan Zhao, Yunlong Meng, Lin Xu:
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation. 3426-3435 - Na Zhao, Gim Hee Lee:
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection. 3436-3445 - Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. 3446-3453 - Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang:
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation. 3454-3462 - Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan:
Self-Supervised Pretraining for RGB-D Salient Object Detection. 3463-3471 - Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu:
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition. 3472-3480 - Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. 3481-3489 - Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. 3490-3498 - Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang:
Handling Slice Permutations Variability in Tensor Recovery. 3499-3507 - Kai Zheng, Yuanjiang Wang, Ye Yuan:
Boosting Contrastive Learning with Relation Knowledge Distillation. 3508-3516 - Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu:
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining. 3517-3525 - Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan:
Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head. 3526-3534 - Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. 3535-3543 - Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang:
SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation. 3544-3552 - Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu:
Pan-Sharpening with Customized Transformer and Invertible Neural Network. 3553-3561 - Shili Zhou, Weimin Tan, Bo Yan:
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation. 3562-3570 - Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian:
Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing. 3571-3579 - Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun:
TiGAN: Text-Based Interactive Image Generation and Manipulation. 3580-3588 - Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. 3589-3597 - Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang:
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring. 3598-3607 - Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin:
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. 3608-3616 - Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy:
MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks. 3617-3625 - Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi:
Robust Depth Completion with Uncertainty-Driven Loss Functions. 3626-3634 - Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha:
Efficient Model-Driven Network for Shadow Removal. 3635-3643 - Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua:
Learning Disentangled Classification and Localization Representations for Temporal Action Localization. 3644-3652 - Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang:
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation. 3653-3661 - Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan:
Making Adversarial Examples More Transferable and Indistinguishable. 3662-3670
AAAI Technical Track on Constraint Satisfaction and Optimization
- Florent Avellaneda, Roger Villemaire:
Undercover Boolean Matrix Factorization with MaxSAT. 3672-3681 - Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. 3682-3689 - Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker:
GEQCA: Generic Qualitative Constraint Acquisition. 3690-3697 - Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström:
Certified Symmetry and Dominance Breaking for Combinatorial Optimisation. 3698-3707 - Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown:
The Perils of Learning Before Optimizing. 3708-3715 - Semih Cayci, Yilin Zheng, Atilla Eryilmaz:
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback. 3716-3723 - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach. 3724-3732 - Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi:
Efficient Riemannian Meta-Optimization by Implicit Differentiation. 3733-3740 - Serge Gaspers, Andrew Kaploun:
Faster Algorithms for Weak Backdoors. 3741-3748 - Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. 3749-3757 - Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi:
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study. 3758-3766 - Hao Hu, Marie-José Huguet, Mohamed Siala:
Optimizing Binary Decision Diagrams with MaxSAT for Classification. 3767-3775 - Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva:
Using MaxSAT for Efficient Explanations of Tree Ensembles. 3776-3785 - Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. 3786-3795 - Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. 3796-3803 - Oleksii Omelchenko, Andrei A. Bulatov:
Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution. 3804-3812 - Yanick Ouellet, Claude-Guy Quimper:
The SoftCumulative Constraint with Quadratic Penalty. 3813-3820 - Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. 3821-3829 - Pierre Talbot, Frédéric G. Pinel, Pascal Bouvry:
A Variant of Concurrent Constraint Programming on GPU. 3830-3839 - Hao Wang, Xiaohui Bei:
Real-Time Driver-Request Assignment in Ridesourcing. 3840-3849 - Ruiwei Wang, Roland H. C. Yap:
Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees. 3850-3858 - Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong:
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. 3859-3867 - Honghao Wei, Xin Liu, Lei Ying:
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes. 3868-3876 - Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma:
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. 3877-3884 - Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang:
Two Compacted Models for Efficient Model-Based Diagnosis. 3885-3893
AAAI Technical Track on Data Mining and Knowledge Management
- Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi:
Parameterized Approximation Algorithms for K-center Clustering and Variants. 3895-3903 - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, William Lochet, Nidhi Purohit, Kirill Simonov:
How to Find a Good Explanation for Clustering? 3904-3912 - Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. 3913-3921 - Fangdong Chen, Yumeng Xu, Li Wang:
Two-Stage Octave Residual Network for End-to-End Image Compression. 3922-3929 - Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu:
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. 3930-3938 - Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. 3939-3948 - Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier:
TAG: Learning Timed Automata from Logs. 3949-3958 - Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken:
Differentially Describing Groups of Graphs. 3959-3967 - Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. 3968-3976 - Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. 3977-3985 - Jie Gao, Ruobin Gong, Fang-Yi Yu:
Subspace Differential Privacy. 3986-3995 - Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. 3996-4004 - Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. 4005-4013 - Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. 4014-4021 - Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. 4022-4029 - Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu:
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. 4030-4038 - Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung:
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation. 4039-4047 - Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. 4048-4056 - Janis Kalofolias, Jilles Vreeken:
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. 4057-4064 - Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. 4065-4074 - Aritra Konar, Nicholas D. Sidiropoulos:
The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization. 4075-4082 - Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. 4083-4091 - Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. 4092-4100 - Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Unsupervised Anomaly Detection by Robust Density Estimation. 4101-4108 - Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng:
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. 4109-4119 - Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. 4120-4127 - Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. 4128-4136 - Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel:
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. 4137-4145 - Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. 4146-4155 - Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu:
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction. 4156-4164 - Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. 4165-4174 - Christopher Tran, Elena Zheleva:
Heterogeneous Peer Effects in the Linear Threshold Model. 4175-4183 - Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha:
Exploring Relational Semantics for Inductive Knowledge Graph Completion. 4184-4192 - Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi:
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. 4193-4200 - Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. 4201-4209 - Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. 4210-4218 - Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. 4219-4227 - Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. 4228-4236 - Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
Discovering Interpretable Data-to-Sequence Generators. 4237-4244 - Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. 4245-4253 - Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang:
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. 4254-4262 - Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu:
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data. 4263-4271 - Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau:
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing. 4272-4280 - Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. 4281-4289 - Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun:
Unsupervised Adversarially Robust Representation Learning on Graphs. 4290-4298 - Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang:
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. 4299-4307 - Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang:
PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space. 4308-4317 - Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen:
Cross-Task Knowledge Distillation in Multi-Task Recommendation. 4318-4326 - Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao:
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. 4327-4336 - Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang:
Multi-Scale Distillation from Multiple Graph Neural Networks. 4337-4344 - Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. 4345-4353 - Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. 4354-4362 - Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. 4363-4370 - Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan:
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. 4371-4378 - Sen Zhao, Wei Wei, Ding Zou, Xianling Mao:
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation. 4379-4387 - Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. 4388-4396 - Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee:
Forecasting Asset Dependencies to Reduce Portfolio Risk. 4397-4404 - Jun Zhuang, Mohammad Al Hasan:
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. 4405-4413
AAAI Technical Track on Domain(s) Of Application
- Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. 4415-4423 - Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park:
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment. 4424-4431 - Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu:
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. 4432-4440 - Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. 4441-4449 - Joseph Clements, Yingjie Lao:
DeepHardMark: Towards Watermarking Neural Network Hardware. 4450-4458 - Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang:
A Unified Framework for Real Time Motion Completion. 4459-4467 - Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li:
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns. 4468-4476 - Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid:
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification. 4477-4485 - Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu:
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds. 4486-4494 - Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee:
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. 4495-4503 - Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang:
Solving PDE-Constrained Control Problems Using Operator Learning. 4504-4512 - Diana Kim, Ahmed Elgammal, Marian Mazzone:
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. 4513-4522 - Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill:
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. 4523-4531 - Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. 4532-4540 - Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. 4541-4549 - Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong:
OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control. 4550-4558 - Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong:
End-to-End Line Drawing Vectorization. 4559-4566 - Chang Lu, Tian Han, Yue Ning:
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. 4567-4574 - Frederik Baymler Mathiesen, Bin Yang, Jilin Hu:
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. 4575-4582 - Kangrui Ruan, Xuan Di:
Learning Human Driving Behaviors with Sequential Causal Imitation Learning. 4583-4592 - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. 4593-4601 - Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl:
Constrained Prescriptive Trees via Column Generation. 4602-4610 - Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma:
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. 4611-4619 - Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui:
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. 4620-4627 - Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu:
EtinyNet: Extremely Tiny Network for TinyML. 4628-4636 - Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin:
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. 4637-4645 - Wanqi Xue, Bo An, Chai Kiat Yeo:
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. 4646-4653 - Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan:
RID-Noise: Towards Robust Inverse Design under Noisy Environments. 4654-4661 - Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li:
Deepfake Network Architecture Attribution. 4662-4670 - Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li:
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. 4671-4679 - Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng:
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. 4680-4688 - Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing:
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. 4689-4697 - Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu:
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction. 4698-4706 - Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin:
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing. 4707-4715 - Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen:
Deeply Tensor Compressed Transformers for End-to-End Object Detection. 4716-4724 - Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Dynamic Manifold Learning for Land Deformation Forecasting. 4725-4733 - Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma:
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. 4734-4742
AAAI Technical Track on Game Theory and Economic Paradigms
- Rediet Abebe, Adam Eck, Christian Ikeokwu, Sam Taggart:
An Algorithmic Introduction to Savings Circles. 4744-4751 - Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor:
Locally Fair Partitioning. 4752-4759 - Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland:
Maximizing Nash Social Welfare in 2-Value Instances. 4760-4767 - Tahar Allouche, Jérôme Lang, Florian Yger:
Truth-Tracking via Approval Voting: Size Matters. 4768-4775 - Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos:
Dimensionality and Coordination in Voting: The Distortion of STV. 4776-4784 - Tal Arbiv, Yonatan Aumann:
Fair and Truthful Giveaway Lotteries. 4785-4792 - Siddharth Barman, Arindam Khan, Arnab Maiti:
Universal and Tight Online Algorithms for Generalized-Mean Welfare. 4793-4800 - Siddharth Barman, Paritosh Verma:
Truthful and Fair Mechanisms for Matroid-Rank Valuations. 4801-4808 - Xiaohui Bei, Xinhang Lu, Warut Suksompong:
Truthful Cake Sharing. 4809-4817 - Xiaohui Bei, Shengyu Zhang:
The Secretary Problem with Competing Employers on Random Edge Arrivals. 4818-4825 - Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat:
Almost Full EFX Exists for Four Agents. 4826-4833 - Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. 4834-4842 - Niclas Boehmer, Robert Bredereck, André Nichterlein:
Combating Collusion Rings Is Hard but Possible. 4843-4850 - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. 4851-4858 - Arthur Boixel, Ulle Endriss, Ronald de Haan:
A Calculus for Computing Structured Justifications for Election Outcomes. 4859-4866 - Felix Brandt, Martin Bullinger, Leo Tappe:
Single-Agent Dynamics in Additively Separable Hedonic Games. 4867-4874 - Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse:
On Improving Resource Allocations by Sharing. 4875-4883 - Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin:
Liquid Democracy with Ranked Delegations. 4884-4891 - Markus Brill, Jonas Israel, Evi Micha, Jannik Peters:
Individual Representation in Approval-Based Committee Voting. 4892-4899 - Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris:
The Metric Distortion of Multiwinner Voting. 4900-4907 - Ioannis Caragiannis, Evi Micha, Nisarg Shah:
A Little Charity Guarantees Fair Connected Graph Partitioning. 4908-4916 - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Truthful Aggregation of Budget Proposals with Proportionality Guarantees. 4917-4924 - Ioannis Caragiannis, Karl Fehrs:
The Complexity of Learning Approval-Based Multiwinner Voting Rules. 4925-4932 - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano:
Efficiency of Ad Auctions with Price Displaying. 4933-4940 - Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti:
Signaling in Posted Price Auctions. 4941-4948 - Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong:
Weighted Fairness Notions for Indivisible Items Revisited. 4949-4956 - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos:
Pizza Sharing Is PPA-Hard. 4957-4965 - Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Heterogeneous Facility Location with Limited Resources. 4966-4974 - Edith Elkind, Abheek Ghosh, Paul Goldberg:
Complexity of Deliberative Coalition Formation. 4975-4982 - Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong:
The Price of Justified Representation. 4983-4990 - Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa:
The Complexity of Subelection Isomorphism Problems. 4991-4998 - Gabriele Farina, Tuomas Sandholm:
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. 4999-5007 - Michal Feldman, Galia Shabtai, Aner Wolfenfeld:
Two-Price Equilibrium. 5008-5015 - Kaito Fujii, Shinsaku Sakaue:
Algorithmic Bayesian Persuasion with Combinatorial Actions. 5016-5024 - Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla:
Bayesian Persuasion in Sequential Decision-Making. 5025-5033 - Robert Ganian, Thekla Hamm, Dusan Knop, Simon Schierreich, Ondrej Suchý:
Hedonic Diversity Games: A Complexity Picture with More than Two Colors. 5034-5042 - Jugal Garg, Aniket Murhekar, John Qin:
Fair and Efficient Allocations of Chores under Bivalued Preferences. 5043-5050 - Mohak Goyal:
Secretary Matching with Vertex Arrivals and No Rejections. 5051-5058 - Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl:
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. 5059-5067 - Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel:
Multi-Leader Congestion Games with an Adversary. 5068-5075 - Aviram Imber, Jonas Israel, Markus Brill, Benny Kimelfeld:
Approval-Based Committee Voting under Incomplete Information. 5076-5083 - Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki:
Reforming an Envy-Free Matching. 5084-5091 - Lukasz Janeczko, Piotr Faliszewski:
The Complexity of Proportionality Degree in Committee Elections. 5092-5099 - Anson Kahng, Gregory Kehne:
Worst-Case Voting When the Stakes Are High. 5100-5107 - Natalia Kucharczuk, Tomasz Was, Oskar Skibski:
PageRank for Edges: Axiomatic Characterization. 5108-5115 - Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. 5116-5123 - Ao Liu, Lirong Xia:
The Semi-random Likelihood of Doctrinal Paradoxes. 5124-5132 - Shang Lu, Shuji Kijima:
Is There a Strongest Die in a Set of Dice with the Same Mean Pips? 5133-5140 - Tien Mai, Arunesh Sinha:
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. 5141-5149 - Eric Neyman, Tim Roughgarden:
Strictly Proper Contract Functions Can Be Arbitrage-Free. 5150-5155 - Bonan Ni, Pingzhong Tang:
Characterization of Incentive Compatibility of an Ex-ante Constrained Player. 5156-5163 - Jannik Peters:
Online Elicitation of Necessarily Optimal Matchings. 5164-5172 - Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. 5173-5182 - Masoud Seddighin, Saeed Seddighin:
Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem. 5183-5190 - Piotr Skowron, Adrian Górecki:
Proportional Public Decisions. 5191-5198 - Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Online Task Assignment Problems with Reusable Resources. 5199-5207 - Fabricio Vasselai:
Iterative Calculus of Voting under Plurality. 5208-5218 - Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. 5219-5227 - Mingyu Xiao, Yuchao Song, Bakh Khoussainov:
Multi-Unit Auction in Social Networks with Budgets. 5228-5235 - Haifeng Xu, Ruggiero Cavallo:
The Strange Role of Information Asymmetry in Auctions - Does More Accurate Value Estimation Benefit a Bidder? 5236-5243 - Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. 5244-5251 - Brian Hu Zhang, Tuomas Sandholm:
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. 5252-5259 - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Planning with Participation Constraints. 5260-5267
AAAI Technical Track on Humans and AI
- Yotam Amitai, Ofra Amir:
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison. 5269-5276 - Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. 5277-5285 - Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. 5286-5294 - Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden, Seán Ó hÉigeartaigh, José Hernández-Orallo:
How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild. 5295-5303 - Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen:
Adversarial Learning from Crowds. 5304-5312 - Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. 5313-5322 - Hussein Mozannar, Arvind Satyanarayan, David A. Sontag:
Teaching Humans When to Defer to a Classifier via Exemplars. 5323-5331 - Yagiz Savas, Christos K. Verginis, Ufuk Topcu:
Deceptive Decision-Making under Uncertainty. 5332-5340 - Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak:
On Optimizing Interventions in Shared Autonomy. 5341-5349 - Zhenhailong Wang, Heng Ji:
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification. 5350-5358 - Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei:
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. 5359-5366 - Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. 5367-5375
AAAI Technical Track on Intelligent Robotics
- Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. 5377-5384 - Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin:
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. 5385-5394 - Xu Liu, Decai Li, Yuqing He:
Random Mapping Method for Large-Scale Terrain Modeling. 5395-5403 - Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman:
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. 5404-5412 - Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang:
CTIN: Robust Contextual Transformer Network for Inertial Navigation. 5413-5421 - Tianqi Tang, Heming Du, Xin Yu, Yi Yang:
Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion. 5422-5430 - Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, Dingkang Yang:
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint. 5431-5439 - Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang:
Sim2Real Object-Centric Keypoint Detection and Description. 5440-5449
AAAI Technical Track on Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Incomplete Argumentation Frameworks: Properties and Complexity. 5451-5460 - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. 5461-5469 - Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski:
From Actions to Programs as Abstract Actual Causes. 5470-5478 - Ringo Baumann, Anna Rapberger, Markus Ulbricht:
Equivalence in Argumentation Frameworks with a Claim-Centric View - Classical Results with Novel Ingredients. 5479-5486 - Bartosz Bednarczyk, Emanuel Kieronski:
Finite Entailment of Local Queries in the Z Family of Description Logics. 5487-5494 - Bartosz Bednarczyk, Sebastian Rudolph:
The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard. 5495-5502 - Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz:
Expressivity of Planning with Horn Description Logic Ontologies. 5503-5511 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang:
ER: Equivariance Regularizer for Knowledge Graph Completion. 5512-5520 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Geometry Interaction Knowledge Graph Embeddings. 5521-5529 - Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. 5530-5538 - Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
ASP-Based Declarative Process Mining. 5539-5547 - Hana Chockler, Joseph Y. Halpern:
On Testing for Discrimination Using Causal Models. 5548-5555 - Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi:
Monotone Abstractions in Ontology-Based Data Management. 5556-5563 - Alexis de Colnet, Stefan Mengel:
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation. 5564-5572 - Dennis Craandijk, Floris Bex:
Enforcement Heuristics for Argumentation with Deep Reinforcement Learning. 5573-5581 - Adnan Darwiche, Chunxi Ji:
On the Computation of Necessary and Sufficient Explanations. 5582-5591 - Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. 5592-5599 - Andrei Draghici, Georg Gottlob, Matthias Lanzinger:
On the Complexity of Inductively Learning Guarded Clauses. 5600-5607 - Wolfgang Dvorák, Markus Hecher, Matthias König, André Schidler, Stefan Szeider, Stefan Woltran:
Tractable Abstract Argumentation via Backdoor-Treewidth. 5608-5615 - Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova:
Large-Neighbourhood Search for Optimisation in Answer-Set Solving. 5616-5625 - Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke:
Answering Queries with Negation over Existential Rules. 5626-5633 - Jorge Fandinno, Zachary Hansen, Yuliya Lierler:
Axiomatization of Aggregates in Answer Set Programming. 5634-5641 - Paolo Felli, Marco Montali, Sarah Winkler:
Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic. 5642-5650 - Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac:
Rushing and Strolling among Answer Sets - Navigation Made Easy. 5651-5659 - Niku Gorji, Sasha Rubin:
Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints. 5660-5667 - Joseph Y. Halpern, Spencer Peters:
Reasoning about Causal Models with Infinitely Many Variables. 5668-5675 - Adrian Haret, Johannes Peter Wallner:
An Axiomatic Approach to Revising Preferences. 5676-5683 - Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks:
BERTMap: A BERT-Based Ontology Alignment System. 5684-5691 - Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba:
Conditional Abstract Dialectical Frameworks. 5692-5699 - Nick Hoernle, Rafael-Michael Karampatsis, Vaishak Belle, Kobi Gal:
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks. 5700-5709 - Hua Hua, Dongxu Li, Ruiqi Li, Peng Zhang, Jochen Renz, Anthony G. Cohn:
Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains. 5710-5718 - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Tractable Explanations for d-DNNF Classifiers. 5719-5728 - Anthony Hunter:
Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures. 5729-5736 - Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. 5737-5745 - Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. 5746-5754 - Mohimenul Kabir, Flavio O. Everardo, Ankit K. Shukla, Markus Hecher, Johannes Klaus Fichte, Kuldeep S. Meel:
ApproxASP - a Scalable Approximate Answer Set Counter. 5755-5764 - Ang Li, Judea Pearl:
Unit Selection with Causal Diagram. 5765-5772 - Ang Li, Judea Pearl:
Bounds on Causal Effects and Application to High Dimensional Data. 5773-5780 - Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li:
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. 5781-5791 - Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. 5792-5799 - Kailun Luo, Yongmei Liu:
Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement. 5800-5808 - Matthew James Lynn, James P. Delgrande, Pavlos Peppas:
Using Conditional Independence for Belief Revision. 5809-5816 - Sagar Malhotra, Luciano Serafini:
Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula. 5817-5824 - Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. 5825-5833 - Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro:
Compilation of Aggregates in ASP Systems. 5834-5841 - Pavel Naumov, Wenxuan Zhang:
Prevailing in the Dark: Information Walls in Strategic Games. 5842-5850 - Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong:
Knowledge Compilation Meets Logical Separability. 5851-5860 - Masood Feyzbakhsh Rankooh, Jussi Rintanen:
Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination. 5861-5868 - Patrick Rodler:
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis. 5869-5878 - Nicolas Schwind, Sébastien Konieczny, Ramón Pino Pérez:
On Paraconsistent Belief Revision in LP. 5879-5887 - Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin:
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. 5888-5896 - David Toman, Grant E. Weddell:
First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics. 5897-5905 - Dingmin Wang, Pan Hu, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau:
MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators. 5906-5913 - Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. 5914-5922 - Hanwen Zha, Zhiyu Chen, Xifeng Yan:
Inductive Relation Prediction by BERT. 5923-5931 - Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong:
Learning to Walk with Dual Agents for Knowledge Graph Reasoning. 5932-5941 - Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan:
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. 5942-5949 - Heng Zhang, Guifei Jiang:
Characterizing the Program Expressive Power of Existential Rule Languages. 5950-5957
AAAI Technical Track on Machine Learning I
- Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How:
Context-Specific Representation Abstraction for Deep Option Learning. 5959-5967 - Ola Ahmad, Freddy Lécué:
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition. 5968-5975 - Abdullah Basar Akbay, Junshan Zhang:
Distributed Learning with Strategic Users: A Repeated Game Approach. 5976-5983 - Daniel Alabi, Badih Ghazi, Ravi Kumar, Pasin Manurangsi:
Private Rank Aggregation in Central and Local Models. 5984-5991 - Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Combating Adversaries with Anti-adversaries. 5992-6000 - Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. 6001-6009 - Srinivas Anumasa, P. K. Srijith:
Latent Time Neural Ordinary Differential Equations. 6010-6018 - Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi:
Beyond GNNs: An Efficient Architecture for Graph Problems. 6019-6027 - Abdus Salam Azad, Edward Kim, Qiancheng Wu, Kimin Lee, Ion Stoica, Pieter Abbeel, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning. 6028-6036 - Kiarash Banihashem, Adish Singla, Jiarui Gan, Goran Radanovic:
Admissible Policy Teaching through Reward Design. 6037-6045 - Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. 6046-6054 - Taha Belkhouja, Yan Yan, Janardhan Rao Doppa:
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis. 6055-6063 - Noa Ben-David, Sivan Sabato:
A Fast Algorithm for PAC Combinatorial Pure Exploration. 6064-6071 - Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour:
Modeling Attrition in Recommender Systems with Departing Bandits. 6072-6079 - Sameer Bibikar, Haris Vikalo, Zhangyang Wang, Xiaohan Chen:
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better. 6080-6088 - Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra:
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. 6089-6096 - Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey:
ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions. 6097-6105 - Fanchen Bu, Dong Eui Chang:
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs. 6106-6114 - Param Budhraja, Mayank Baranwal, Kunal Garg, Ashish R. Hota:
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows. 6115-6122 - Sebastian Buschjäger, Sibylle Hess, Katharina Morik:
Shrub Ensembles for Online Classification. 6123-6131 - Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne:
NoiseGrad - Enhancing Explanations by Introducing Stochasticity to Model Weights. 6132-6140 - Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata:
Leaping through Time with Gradient-Based Adaptation for Recommendation. 6141-6149 - Shayok Chakraborty, Ankita Singh:
Active Sampling for Text Classification with Subinstance Level Queries. 6150-6158 - Joel Q. L. Chang, Vincent Y. F. Tan:
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits. 6159-6166 - Anamay Chaturvedi, Matthew Jones, Huy Le Nguyen:
Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error. 6167-6174 - Sapana Chaudhary, Dileep M. Kalathil:
Safe Online Convex Optimization with Unknown Linear Safety Constraints. 6175-6182 - Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang:
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions. 6183-6192 - Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha:
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. 6193-6201 - Cheng Chen, Canzhe Zhao, Shuai Li:
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model. 6202-6210 - Irene Y. Chen, Rahul G. Krishnan, David A. Sontag:
Clustering Interval-Censored Time-Series for Disease Phenotyping. 6211-6221 - Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu:
Efficient Robust Training via Backward Smoothing. 6222-6230 - Junpu Chen, Hong Xie:
An Online Learning Approach to Sequential User-Centric Selection Problems. 6231-6238 - Keyi Chen, John Langford, Francesco Orabona:
Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting. 6239-6247 - Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng:
Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation. 6248-6257 - Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng:
Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation. 6258-6267 - Liangming Chen, Long Jin, Mingsheng Shang:
Zero Stability Well Predicts Performance of Convolutional Neural Networks. 6268-6277 - Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-supervised Learning with Multi-Head Co-Training. 6278-6286 - Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang:
Instance Selection: A Bayesian Decision Theory Perspective. 6287-6294 - Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng:
Input-Specific Robustness Certification for Randomized Smoothing. 6295-6303 - Wenxue Chen, Jianke Zhu:
Multimodal Adversarially Learned Inference with Factorized Discriminators. 6304-6312 - Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu:
Imbalance-Aware Uplift Modeling for Observational Data. 6313-6321 - Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi:
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. 6322-6332 - Yuzhou Chen, Yulia R. Gel, H. Vincent Poor:
BScNets: Block Simplicial Complex Neural Networks. 6333-6341 - Zekai Chen, Xiao Zhang, Xiuzhen Cheng:
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. 6342-6349 - Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai:
Identification of Linear Latent Variable Model with Arbitrary Distribution. 6350-6357 - Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. 6358-6366 - Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park:
Graph Neural Controlled Differential Equations for Traffic Forecasting. 6367-6374 - Sayak Ray Chowdhury, Xingyu Zhou:
Differentially Private Regret Minimization in Episodic Markov Decision Processes. 6375-6383 - Stephen Chung:
Learning by Competition of Self-Interested Reinforcement Learning Agents. 6384-6393 - Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia:
How to Distribute Data across Tasks for Meta-Learning? 6394-6401 - Cody Coleman, Edward Chou, Julian Katz-Samuels, Sean Culatana, Peter Bailis, Alexander C. Berg, Robert D. Nowak, Roshan Sumbaly, Matei Zaharia, I. Zeki Yalniz:
Similarity Search for Efficient Active Learning and Search of Rare Concepts. 6402-6410 - Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang:
Learning Influence Adoption in Heterogeneous Networks. 6411-6419 - Thilini Cooray, Ngai-Man Cheung:
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning. 6420-6428 - Jan Corazza, Ivan Gavran, Daniel Neider:
Reinforcement Learning with Stochastic Reward Machines. 6429-6436 - Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein:
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. 6437-6445 - Andrew Cropper:
Learning Logic Programs Though Divide, Constrain, and Conquer. 6446-6453 - Yatin Dandi, Luis Barba, Martin Jaggi:
Implicit Gradient Alignment in Distributed and Federated Learning. 6454-6462 - Constantinos Daskalakis, Petros Dellaportas, Aristeidis Panos:
How Good Are Low-Rank Approximations in Gaussian Process Regression? 6463-6470 - Aram Davtyan, Sepehr Sameni, Llukman Cerkezi, Givi Meishvili, Adam Bielski, Paolo Favaro:
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity. 6471-6479 - Quinlan Dawkins, Minbiao Han, Haifeng Xu:
First-Order Convex Fitting and Its Application to Economics and Optimization. 6480-6487 - Rohan Deb, Shalabh Bhatnagar:
Gradient Temporal Difference with Momentum: Stability and Convergence. 6488-6496 - Florent Delgrange, Ann Nowé, Guillermo A. Pérez:
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes. 6497-6505 - Xiang Deng, Yun Xiao, Bo Long, Zhongfei Zhang:
Reducing Flipping Errors in Deep Neural Networks. 6506-6514 - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, Dae Hyun Kim:
Bayesian Optimization over Permutation Spaces. 6515-6523 - Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. 6524-6531 - Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier:
Online Certification of Preference-Based Fairness for Personalized Recommender Systems. 6532-6540 - Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao:
Disentangled Spatiotemporal Graph Generative Models. 6541-6549 - Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu:
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples. 6550-6558 - Alina Ene, Huy Le Nguyen:
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence. 6559-6567 - Sepideh Esmaeilpour, Bing Liu, Eric Robertson, Lei Shu:
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. 6568-6576 - Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin:
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. 6577-6586 - Jicong Fan:
Dynamic Nonlinear Matrix Completion for Time-Varying Data Imputation. 6587-6596 - Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-Free Knowledge Distillation. 6597-6604 - Zhiyu Fang, Xiaobin Zhu, Chun Yang, Zheng Han, Jingyan Qin, Xu-Cheng Yin:
Learning Aligned Cross-Modal Representation for Generalized Zero-Shot Classification. 6605-6613 - Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas:
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. 6614-6622 - Nathanaël Fijalkow, Guillaume Lagarde, Théo Matricon, Kevin Ellis, Pierre Ohlmann, Akarsh Nayan Potta:
Scaling Neural Program Synthesis with Distribution-Based Search. 6623-6630 - Vincent Froese, Leon Kellerhals, Rolf Niedermeier:
Modification-Fair Cluster Editing. 6631-6638 - Yuwei Fu, Di Wu, Benoit Boulet:
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting. 6639-6647 - Samy Wu Fung, Howard Heaton, Qiuwei Li, Daniel McKenzie, Stanley J. Osher, Wotao Yin:
JFB: Jacobian-Free Backpropagation for Implicit Networks. 6648-6656 - Yaozhong Gan, Zhe Zhang, Xiaoyang Tan:
Smoothing Advantage Learning. 6657-6664 - Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han:
Enhancing Counterfactual Classification Performance via Self-Training. 6665-6673 - Ruiqi Gao, Jianwen Xie, Siyuan Huang, Yufan Ren, Song-Chun Zhu, Ying Nian Wu:
Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. 6674-6684 - Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió:
Algorithmic Concept-Based Explainable Reasoning. 6685-6693 - Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. 6694-6702 - Aritra Ghosh, Saayan Mitra, Andrew S. Lan:
DiPS: Differentiable Policy for Sketching in Recommender Systems. 6703-6712 - Pierre Gillot, Pekka Parviainen:
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics. 6713-6720 - Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li:
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. 6721-6728 - Xiuwen Gong, Dong Yuan, Wei Bao:
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings. 6729-6736 - Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. 6737-6745 - Olivier Graffeuille, Yun Sing Koh, Jörg Wicker, Moritz K. Lehmann:
Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation. 6746-6754 - Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu:
GoTube: Scalable Statistical Verification of Continuous-Depth Models. 6755-6764 - Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang:
Balanced Self-Paced Learning for AUC Maximization. 6765-6773 - Xin Guo, Anran Hu, Junzi Zhang:
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods. 6774-6782 - Yiduo Guo, Wenpeng Hu, Dongyan Zhao, Bing Liu:
Adaptive Orthogonal Projection for Batch and Online Continual Learning. 6783-6791 - Yijie Guo, Qiucheng Wu, Honglak Lee:
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks. 6792-6800 - Yuzhi Guo, Jiaxiang Wu, Hehuan Ma, Junzhou Huang:
Self-Supervised Pre-training for Protein Embeddings Using Tertiary Structures. 6801-6809 - Kartik Gupta, Thalaiyasingam Ajanthan:
Improved Gradient-Based Adversarial Attacks for Quantized Networks. 6810-6818 - Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu:
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. 6819-6828 - Anthony GX-Chen, Veronica Chelu, Blake A. Richards, Joelle Pineau:
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions. 6829-6837 - Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. 6838-6846 - Jun-Yi Hang, Min-Ling Zhang, Yanghe Feng, Xiaocheng Song:
End-to-End Probabilistic Label-Specific Feature Learning for Multi-Label Classification. 6847-6855 - Kaveh Hassani:
Cross-Domain Few-Shot Graph Classification. 6856-6864 - Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. 6865-6873 - Rundong He, Zhongyi Han, Yang Yang, Yilong Yin:
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. 6874-6883 - Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji:
Wasserstein Unsupervised Reinforcement Learning. 6884-6892 - Yicong He, George K. Atia:
Multi-Mode Tensor Space Clustering Based on Low-Tensor-Rank Representation. 6893-6901 - Mohsen Heidari, Ananth Grama, Wojciech Szpankowski:
Toward Physically Realizable Quantum Neural Networks. 6902-6909 - Tue Herlau, Rasmus Larsen:
Reinforcement Learning of Causal Variables Using Mediation Analysis. 6910-6917 - Matthew J. Holland:
Anytime Guarantees under Heavy-Tailed Data. 6918-6925 - Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu:
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. 6926-6934 - Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. 6935-6943 - Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
Multi-View Clustering on Topological Manifold. 6944-6951 - Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. 6952-6959 - Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang:
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets. 6960-6969 - Guillermo Infante, Anders Jonsson, Vicenç Gómez:
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes. 6970-6977 - Amirkasra Jalaldoust, Katerina Hlavácková-Schindler, Claudia Plant:
Causal Discovery in Hawkes Processes by Minimum Description Length. 6978-6987 - Taeuk Jang, Pengyi Shi, Xiaoqian Wang:
Group-Aware Threshold Adaptation for Fair Classification. 6988-6995 - Andres G. Jaramillo-Yanez, Marco E. Benalcázar, Sebastian Sardiña, Fabio Zambetta:
Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces. 6996-7004 - Yiren Jian, Lorenzo Torresani:
Label Hallucination for Few-Shot Classification. 7005-7014 - Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt:
Learning Expected Emphatic Traces for Deep RL. 7015-7023 - Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu:
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data. 7024-7032 - Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo:
Fast Graph Neural Tangent Kernel via Kronecker Sketching. 7033-7041 - Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu:
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. 7042-7050 - Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao:
Adaptive Kernel Graph Neural Network. 7051-7058 - Hiromichi Kamata, Yusuke Mukuta, Tatsuya Harada:
Fully Spiking Variational Autoencoder. 7059-7067
AAAI Technical Track on Machine Learning II
- Changsung Kang, Hongwei Shang, Jean-Marc Langlois:
Classifying Emails into Human vs Machine Category. 7069-7077 - Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S. Sumitra:
Self-Supervised Enhancement of Latent Discovery in GANs. 7078-7086 - Payam Karisani:
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers. 7087-7095 - Nikolai Karpov, Qin Zhang:
Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit. 7096-7103 - Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee:
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. 7104-7114 - Keisuke Kawano, Satoshi Koide, Keisuke Otaki:
Partial Wasserstein Covering. 7115-7123 - Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban:
Optimal Tensor Transport. 7124-7132 - Alexandros Dimitrios Keros, Vidit Nanda, Kartic Subr:
Dist2Cycle: A Simplicial Neural Network for Homology Localization. 7133-7142 - Samuel Kessler, Jack Parker-Holder, Philip J. Ball, Stefan Zohren, Stephen J. Roberts:
Same State, Different Task: Continual Reinforcement Learning without Interference. 7143-7151 - Mahyar Khayatkhoei, Ahmed Elgammal:
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. 7152-7159 - Daniel Kienitz, Ekaterina Komendantskaya, Michael A. Lones:
The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning. 7160-7167 - Jonas Kiessling, Filip Thor:
A Computable Definition of the Spectral Bias. 7168-7175 - KrishnaTeja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer:
A Nested Bi-level Optimization Framework for Robust Few Shot Learning. 7176-7184 - Hyunjun Kim, JeongGil Ko:
Fast Monte-Carlo Approximation of the Attention Mechanism. 7185-7193 - Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. 7194-7201 - Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen:
Introducing Symmetries to Black Box Meta Reinforcement Learning. 7202-7210 - Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe:
Directed Graph Auto-Encoders. 7211-7219 - Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu:
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. 7220-7228 - Ezgi Korkmaz:
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs. 7229-7238 - James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. 7239-7246 - Yufei Kuang, Miao Lu, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization. 7247-7254 - Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri:
Gradient Based Activations for Accurate Bias-Free Learning. 7255-7262 - Beong-woo Kwak, Youngwook Kim, Yu Jin Kim, Seung-won Hwang, Jinyoung Yeo:
TrustAL: Trustworthy Active Learning Using Knowledge Distillation. 7263-7271 - Jianglin Lan, Yang Zheng, Alessio Lomuscio:
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations. 7272-7280 - Tal Lancewicki, Aviv Rosenberg, Yishay Mansour:
Learning Adversarial Markov Decision Processes with Delayed Feedback. 7281-7289 - Robert Tjarko Lange, Henning Sprekeler:
Learning Not to Learn: Nature versus Nurture In Silico. 7290-7299 - Sören Laue, Mark Blacher, Joachim Giesen:
Optimization for Classical Machine Learning Problems on the GPU. 7300-7308 - Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. 7309-7316 - Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. 7317-7325 - Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger:
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales. 7326-7336 - Tosca Lechner, Ruth Urner:
Learning Losses for Strategic Classification. 7337-7344 - Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro:
Differentially Private Normalizing Flows for Synthetic Tabular Data Generation. 7345-7353 - Jun-Tae Lee, Hyunsin Park, Sungrack Yun, Simyung Chang:
Multi-Head Modularization to Leverage Generalization Capability in Multi-Modal Networks. 7354-7362 - Junghyun Lee, Gwangsu Kim, Mahbod Olfat, Mark Hasegawa-Johnson, Chang D. Yoo:
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. 7363-7371 - Namkyeong Lee, Junseok Lee, Chanyoung Park:
Augmentation-Free Self-Supervised Learning on Graphs. 7372-7380 - Sokbae Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin:
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling. 7381-7389 - Dan Ley, Umang Bhatt, Adrian Weller:
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. 7390-7398 - Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. 7399-7407 - Diyang Li, Bin Gu:
Chunk Dynamic Updating for Group Lasso with ODEs. 7408-7416 - Jialian Li, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model. 7417-7425 - Junyi Li, Bin Gu, Heng Huang:
A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. 7426-7434 - Yan Li, Rui Xia, Chunchen Liu, Liang Sun:
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. 7435-7443 - Zhu Li:
Sharp Analysis of Random Fourier Features in Classification. 7444-7452 - Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu:
Zeroth-Order Optimization for Composite Problems with Functional Constraints. 7453-7461 - Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu:
Robust Graph-Based Multi-View Clustering. 7462-7469 - Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li:
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. 7470-7478 - Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin:
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations. 7479-7487 - Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. 7488-7496 - Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. 7497-7505 - Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar:
RareGAN: Generating Samples for Rare Classes. 7506-7515 - Björn Lindenberg, Jonas Nordqvist, Karl-Olof Lindahl:
Conjugated Discrete Distributions for Distributional Reinforcement Learning. 7516-7524 - Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli:
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. 7525-7533 - Anthony Z. Liu, Sungryull Sohn, Mahdi Qazwini, Honglak Lee:
Learning Parameterized Task Structure for Generalization to Unseen Entities. 7534-7541 - Chenghua Liu, Zhuolin Liao, Yixuan Ma, Kun Zhan:
Stationary Diffusion State Neural Estimation for Multiview Clustering. 7542-7549 - Huafeng Liu, Tong Zhou, Jiaqi Wang:
Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process. 7550-7557 - Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen:
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning. 7558-7566 - Rui Liu, Barzan Mozafari:
Transformer with Memory Replay. 7567-7575 - Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao:
Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors. 7576-7584 - Wei Liu, Xiaodong Yue, Yufei Chen, Thierry Denoeux:
Trusted Multi-View Deep Learning with Opinion Aggregation. 7585-7593 - Xin Liu, Yangqiu Song:
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. 7594-7602 - Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu:
Deep Graph Clustering via Dual Correlation Reduction. 7603-7611 - Sam Lobel, Omer Gottesman, Cameron Allen, Akhil Bagaria, George Konidaris:
Optimistic Initialization for Exploration in Continuous Control. 7612-7619 - Alexander Long, Alan Blair, Herke van Hoof:
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation. 7620-7627 - Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch:
Frozen Pretrained Transformers as Universal Computation Engines. 7628-7636 - Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang:
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. 7637-7646 - Gengyu Lyu, Xiang Deng, Yanan Wu, Songhe Feng:
Beyond Shared Subspace: A View-Specific Fusion for Multi-View Multi-Label Learning. 7647-7654 - Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Xiu Li:
Efficient Continuous Control with Double Actors and Regularized Critics. 7655-7663 - Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. 7664-7671 - Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi:
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. 7672-7681 - Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi:
Cross-Lingual Adversarial Domain Adaptation for Novice Programming. 7682-7690 - Neil G. Marchant, Benjamin I. P. Rubinstein, Scott Alfeld:
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning. 7691-7700 - Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Exploring Safer Behaviors for Deep Reinforcement Learning. 7701-7709 - Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
fGOT: Graph Distances Based on Filters and Optimal Transport. 7710-7718 - Fernando Martínez-Plumed, David Castellano Falcón, Carlos Monserrat Aranda, José Hernández-Orallo:
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty. 7719-7727 - Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. 7728-7735 - Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. 7736-7743 - Estelle M. Massart, Vinayak Abrol:
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. 7744-7751 - Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Curiosity-Driven Exploration via Latent Bayesian Surprise. 7752-7760 - Leandro C. Medeiros, David S. Aleixo, Levi H. S. Lelis:
What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies. 7761-7769 - Daniel P. M. de Mello, Renato M. Assunção, Fabricio Murai:
Top-Down Deep Clustering with Multi-Generator GANs. 7770-7778 - Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan:
Temporal Knowledge Graph Completion Using Box Embeddings. 7779-7787 - Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum:
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. 7788-7796 - Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu:
Simple Unsupervised Graph Representation Learning. 7797-7805 - Shubhankar Mohapatra, Sajin Sasy, Xi He, Gautam Kamath, Om Thakkar:
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. 7806-7813 - Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami, Negar Kiyavash:
Learning Bayesian Networks in the Presence of Structural Side Information. 7814-7822 - Seungyong Moon, Gaon An, Hyun Oh Song:
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. 7823-7830 - Peyman Morteza, Yixuan Li:
Provable Guarantees for Understanding Out-of-Distribution Detection. 7831-7840 - Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. 7841-7849 - Mirco Mutti, Mattia Mancassola, Marcello Restelli:
Unsupervised Reinforcement Learning in Multiple Environments. 7850-7858 - Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam:
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning. 7859-7867 - Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu:
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. 7868-7876 - André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt:
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. 7877-7885 - Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon:
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. 7886-7894 - Dongpin Oh, Bonggun Shin:
Improving Evidential Deep Learning via Multi-Task Learning. 7895-7903 - Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Clustering Approach to Solve Hierarchical Classification Problem Complexity. 7904-7912 - Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau:
Random Tensor Theory for Tensor Decomposition. 7913-7921 - Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates:
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. 7922-7930 - Konstantinos P. Panousis, Anastasios Antoniadis, Sotirios Chatzis:
Competing Mutual Information Constraints with Stochastic Competition-Based Activations for Learning Diversified Representations. 7931-7940 - Giseung Park, Sungho Choi, Youngchul Sung:
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning. 7941-7948 - Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim:
Deformable Graph Convolutional Networks. 7949-7956 - Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. 7957-7965 - Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. 7966-7974 - Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets:
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. 7975-7983 - João P. B. Pereira, Erik S. G. Stroes, Aeilko H. Zwinderman, Evgeni Levin:
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance. 7984-7992 - Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia:
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints. 7993-8000 - Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. 8001-8008 - Kritika Prakash, Fiza Husain, Praveen Paruchuri, Sujit Gujar:
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework. 8009-8016 - Xin Qiu, Risto Miikkulainen:
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. 8017-8027 - Jonathan Raiman:
DeepType 2: Superhuman Entity Linking, All You Need Is Type Interactions. 8028-8035 - Parikshit Ram, Kaushik Sinha:
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies. 8036-8044 - Sirisha Rambhatla, Zhengping Che, Yan Liu:
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. 8045-8053 - Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti:
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification. 8054-8061 - Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel:
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. 8062-8071 - Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco:
Sublinear Time Approximation of Text Similarity Matrices. 8072-8080 - Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel:
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. 8081-8088 - Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian:
On Causally Disentangled Representations. 8089-8097 - Carl Remlinger, Joseph Mikael, Romuald Elie:
Conditional Loss and Deep Euler Scheme for Time Series Generation. 8098-8105 - Shideh Rezaeifar, Robert Dadashi, Nino Vieillard, Léonard Hussenot, Olivier Bachem, Olivier Pietquin, Matthieu Geist:
Offline Reinforcement Learning as Anti-exploration. 8106-8114 - Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De:
Interpretable Neural Subgraph Matching for Graph Retrieval. 8115-8123 - Yichen Ruan, Carlee Joe-Wong:
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. 8124-8131 - Ardavan Saeedi, Yuria Utsumi, Li Sun, Kayhan Batmanghelich, Li-Wei H. Lehman:
Knowledge Distillation via Constrained Variational Inference. 8132-8140 - Shota Saito:
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel. 8141-8149 - Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz:
Reverse Differentiation via Predictive Coding. 8150-8158 - Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera:
VACA: Designing Variational Graph Autoencoders for Causal Queries. 8159-8168 - Christian Schilling, Marcelo Forets, Sebastián Guadalupe:
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes. 8169-8177
AAAI Technical Track on Machine Learning III
- Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. 8179-8186 - Simon Schmitt, John Shawe-Taylor, Hado van Hasselt:
Chaining Value Functions for Off-Policy Learning. 8187-8195 - Till Hendrik Schulz, Pascal Welke, Stefan Wrobel:
Graph Filtration Kernels. 8196-8203 - Mohamed El Amine Seddik, Mohamed Tamaazousti:
Neural Networks Classify through the Class-Wise Means of Their Representations. 8204-8211 - Prithviraj Sen, Breno W. S. R. de Carvalho, Ryan Riegel, Alexander G. Gray:
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks. 8212-8219 - Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. 8220-8230 - Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio:
Learning to Transfer with von Neumann Conditional Divergence. 8231-8239 - Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. 8240-8248 - Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang:
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications. 8249-8258 - Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, Siddharth Ghetia, Jatin Varshney, Tung Mai, Anup B. Rao, Vikas Maddukuri:
Conditional Generative Model Based Predicate-Aware Query Approximation. 8259-8266 - Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao:
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. 8267-8276 - Zhenbo Shi, Zhi Chen, Zhenbo Xu, Wei Yang, Zhidong Yu, Liusheng Huang:
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds. 8277-8285 - Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh:
TRF: Learning Kernels with Tuned Random Features. 8286-8294 - Kazuhiko Shinoda, Takahiro Hoshino:
Estimation of Local Average Treatment Effect by Data Combination. 8295-8303 - Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, João Marques-Silva, Moshe Y. Vardi:
Constraint-Driven Explanations for Black-Box ML Models. 8304-8314 - Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels. 8315-8323 - Daniel Silver, Tirthak Patel, Devesh Tiwari:
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. 8324-8332 - Uriel Singer, Kira Radinsky:
EqGNN: Equalized Node Opportunity in Graphs. 8333-8341 - Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. 8342-8350 - Akshay Sood, Mark Craven:
Feature Importance Explanations for Temporal Black-Box Models. 8351-8360 - Miroslav Strupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber:
Reward-Weighted Regression Converges to a Global Optimum. 8361-8369 - Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao:
Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. 8370-8377 - Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. 8378-8385 - Yi-Xuan Sun, Wei Wang:
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes. 8386-8394 - Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Generalized Equivariance and Preferential Labeling for GNN Node Classification. 8395-8403 - Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara:
Explainable and Local Correction of Classification Models Using Decision Trees. 8404-8413 - Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin:
Consistency Regularization for Adversarial Robustness. 8414-8422 - Aviv Tamar, Daniel Soudry, Ev Zisselman:
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability. 8423-8431 - Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang:
FedProto: Federated Prototype Learning across Heterogeneous Clients. 8432-8440 - Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang:
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. 8441-8449 - Shaojie Tang, Jing Yuan:
Optimal Sampling Gaps for Adaptive Submodular Maximization. 8450-8457 - Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen:
With False Friends Like These, Who Can Notice Mistakes? 8458-8466 - Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides:
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling. 8467-8475 - Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu:
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. 8476-8484 - Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun:
SplitFed: When Federated Learning Meets Split Learning. 8485-8493 - Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders:
Listwise Learning to Rank Based on Approximate Rank Indicators. 8494-8502 - Praneeth Vepakomma, Julia Balla, Ramesh Raskar:
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval. 8503-8511 - Sahil Verma, Keegan Hines, John P. Dickerson:
Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models. 8512-8519 - Daniël Vos, Sicco Verwer:
Robust Optimal Classification Trees against Adversarial Examples. 8520-8528 - Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein:
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs. 8529-8538 - Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang:
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. 8539-8547 - Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji:
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD. 8548-8556 - Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu:
Learngene: From Open-World to Your Learning Task. 8557-8565 - Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. 8566-8574 - Xiwen Wang, Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar:
Efficient Algorithms for General Isotone Optimization. 8575-8583 - Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang:
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. 8584-8593 - Zhen Wang, Liu Liu, Yiqun Duan, Dacheng Tao:
Continual Learning through Retrieval and Imagination. 8594-8602 - Zhenlin Wang, Jonathan Scarlett:
Max-Min Grouped Bandits. 8603-8611 - Zhihai Wang, Jie Wang, Qi Zhou, Bin Li, Houqiang Li:
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic. 8612-8620 - Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li:
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. 8621-8628 - Sean Welleck, Peter West, Jize Cao, Yejin Choi:
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics. 8629-8637 - Tim Whitaker, Darrell Whitley:
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks. 8638-8646 - Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja:
PluGeN: Multi-Label Conditional Generation from Pre-trained Models. 8647-8656 - Honguk Woo, Gwangpyo Yoo, Minjong Yoo:
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments. 8657-8665 - Honguk Woo, Hyunsung Lee, Sangwoo Cho:
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation. 8666-8674 - Ga Wu, Masoud Hashemi, Christopher Srinivasa:
PUMA: Performance Unchanged Model Augmentation for Training Data Removal. 8675-8682 - Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li:
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. 8683-8690 - Xiaoxia Wu, Yuege Xie, Simon Shaolei Du, Rachel A. Ward:
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method. 8691-8699 - Teng Xiao, Suhang Wang:
Towards Off-Policy Learning for Ranking Policies with Logged Feedback. 8700-8707 - Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang:
Active Learning for Domain Adaptation: An Energy-Based Approach. 8708-8716 - Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. 8717-8725 - Guojun Xiong, Jian Li, Rahul Singh:
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits. 8726-8734 - An Xu, Heng Huang:
Coordinating Momenta for Cross-Silo Federated Learning. 8735-8743 - Chenyang Xu, Benjamin Moseley:
Learning-Augmented Algorithms for Online Steiner Tree. 8744-8752 - Haoran Xu, Xianyuan Zhan, Xiangyu Zhu:
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning. 8753-8760 - Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu:
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. 8761-8769 - Yesong Xu, Shuo Chen, Jun Li, Jianjun Qian:
Linearity-Aware Subspace Clustering. 8770-8778 - Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You:
Go Wider Instead of Deeper. 8779-8787 - Gang Yan, Hao Wang, Jian Li:
Seizing Critical Learning Periods in Federated Learning. 8788-8796 - Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen:
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach. 8797-8805 - Chen Yanai, Adir Solomon, Gilad Katz, Bracha Shapira, Lior Rokach:
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning. 8806-8813 - Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen:
Training a Resilient Q-network against Observational Interference. 8814-8822 - Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan:
Policy Optimization with Stochastic Mirror Descent. 8823-8831 - Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai:
Graph Pointer Neural Networks. 8832-8839 - Yuan Yang, James Clayton Kerce, Faramarz Fekri:
LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning. 8840-8848 - Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. 8849-8856 - Fei Ye, Adrian G. Bors:
Lifelong Generative Modelling Using Dynamic Expansion Graph Model. 8857-8865 - Jia-Fong Yeh, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu:
Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation. 8866-8873 - Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan:
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. 8874-8882 - Rong Yin, Yong Liu, Dan Meng:
Distributed Randomized Sketching Kernel Learning. 8883-8891 - Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang:
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. 8892-8900 - Yihang Yin, Siyu Huang, Xiang Zhang:
BM-NAS: Bilevel Multimodal Neural Architecture Search. 8901-8909 - Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin:
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets. 8910-8918 - Kenny Young:
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units. 8919-8926 - Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. 8927-8935 - Mengran Yu, Shiliang Sun:
Natural Black-Box Adversarial Examples against Deep Reinforcement Learning. 8936-8944 - Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He:
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. 8945-8953 - Wenhui Yu, Zixin Zhang, Zheng Qin:
Low-Pass Graph Convolutional Network for Recommendation. 8954-8961 - Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin:
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. 8962-8970 - Jinyang Yuan, Bin Li, Xiangyang Xue:
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints. 8971-8979 - Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu:
TS2Vec: Towards Universal Representation of Time Series. 8980-8987 - Julio Zamora, Anthony D. Rhodes, Lama Nachman:
Fractional Adaptive Linear Units. 8988-8996 - Hongyu Zang, Xin Li, Mingzhong Wang:
SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning. 8997-9005 - Wenkang Zhan, Gang Wu, Hongchang Gao:
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems. 9006-9013 - Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye:
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. 9014-9021 - Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Guanwen Zhang, Xiangyang Ji:
State Deviation Correction for Offline Reinforcement Learning. 9022-9030 - Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel:
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. 9031-9039 - Lei Zhang, Wang Xiang, Chuang Zhao, Hongke Zhao, Rui Li, Runze Wu:
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach. 9040-9047 - Lifeng Zhang, Shimo Yang, Hongxun Jiang:
Categorical Neighbour Correlation Coefficient (CnCor) for Detecting Relationships between Categorical Variables. 9048-9056 - Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. 9057-9065 - Matthew Shunshi Zhang, Murat A. Erdogdu, Animesh Garg:
Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings. 9066-9073 - Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong:
Gaussian Process Bandits with Aggregated Feedback. 9074-9081 - Rui Zhang, Shihua Zhang:
Rethinking Influence Functions of Neural Networks in the Over-Parameterized Regime. 9082-9090 - Sai Qian Zhang, Jieyu Lin, Qi Zhang:
A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. 9091-9099 - Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang:
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition. 9100-9108 - Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu:
Fusion Multiple Kernel K-means. 9109-9117 - Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying:
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. 9118-9126 - Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. 9127-9135 - Zeyang Zhang, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum. 9136-9144 - Zhe Zhang, Yaozhong Gan, Xiaoyang Tan:
Robust Action Gap Increasing with Clipped Advantage Learning. 9145-9152 - Zhijie Zhang, Wei Chen, Xiaoming Sun, Jialin Zhang:
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles. 9153-9161 - Bingyin Zhao, Yingjie Lao:
CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. 9162-9170 - Bo Zhao, Peng Sun, Tao Wang, Keyu Jiang:
FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates. 9171-9179 - Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun:
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. 9180-9189 - Xuebin Zhao, Hong Chen, Yingjie Wang, Weifu Li, Tieliang Gong, Yulong Wang, Feng Zheng:
Error-Based Knockoffs Inference for Controlled Feature Selection. 9190-9198 - Yuxuan Zhao, Eric Landgrebe, Eliot Shekhtman, Madeleine Udell:
Online Missing Value Imputation and Change Point Detection with the Gaussian Copula. 9199-9207 - Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao:
LaSSL: Label-Guided Self-Training for Semi-supervised Learning. 9208-9216 - Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff:
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms. 9217-9224 - Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Adaptive Pairwise Weights for Temporal Credit Assignment. 9225-9232 - Weichao Zhou, Wenchao Li:
Programmatic Reward Design by Example. 9233-9241 - Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin:
Neural Piecewise-Constant Delay Differential Equations. 9242-9250 - Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. 9251-9259 - Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang:
Invariant Action Effect Model for Reinforcement Learning. 9260-9268 - Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. 9269-9277 - Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. 9278-9285
AAAI Technical Track on Multiagent Systems
- Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli:
Hedonic Games with Fixed-Size Coalitions. 9287-9295 - Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. 9296-9303 - Joachim Brendborg, Panagiotis Karras, Andreas Pavlogiannis, Asger Ullersted Rasmussen, Josef Tkadlec:
Fixation Maximization in the Positional Moran Process. 9304-9312 - Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. 9313-9322 - Jiehua Chen, Martin Lackner, Jan Maly:
Participatory Budgeting with Donations and Diversity Constraints. 9323-9330 - Yanchen Deng, Shufeng Kong, Bo An:
Pretrained Cost Model for Distributed Constraint Optimization Problems. 9331-9340 - Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu:
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. 9341-9349 - Niko A. Grupen, Bart Selman, Daniel D. Lee:
Cooperative Multi-Agent Fairness and Equivariant Policies. 9350-9359 - Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen:
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. 9360-9367 - Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina:
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. 9368-9376 - Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. 9377-9385 - Christopher Leet, Jiaoyang Li, Sven Koenig:
Shard Systems: Scalable, Robust and Persistent Multi-Agent Path Finding with Performance Guarantees. 9386-9395 - Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato:
A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning. 9396-9404 - Thanh Nguyen, Haifeng Xu:
When Can the Defender Effectively Deceive Attackers in Security Games? 9405-9412 - Sarah Perrin, Mathieu Laurière, Julien Pérolat, Romuald Élie, Matthieu Geist, Olivier Pietquin:
Generalization in Mean Field Games by Learning Master Policies. 9413-9421 - Zirou Qiu, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard Edwin Stearns, Anil Vullikanti:
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. 9422-9430 - Manon Revel, Tao Lin, Daniel Halpern:
How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues. 9431-9438 - Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart:
Decentralized Mean Field Games. 9439-9447 - Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low:
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. 9448-9456 - Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu:
Learning the Optimal Recommendation from Explorative Users. 9457-9465 - Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang:
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. 9466-9474 - Mu Yuan, Lan Zhang, Xiang-Yang Li:
MLink: Linking Black-Box Models for Collaborative Multi-Model Inference. 9475-9483 - Hugh Zhang, Adam Lerer, Noam Brown:
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization. 9484-9492
AAAI Technical Track on Philosophy and Ethics of AI
- Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt:
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. 9494-9503 - Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara:
Incorporating Item Frequency for Differentially Private Set Union. 9504-9511 - Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang:
Cosine Model Watermarking against Ensemble Distillation. 9512-9520 - Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu:
Towards Debiasing DNN Models from Spurious Feature Influence. 9521-9528 - Sebastian Farquhar, Ryan Carey, Tom Everitt:
Path-Specific Objectives for Safer Agent Incentives. 9529-9538 - Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Algorithmic Fairness Verification with Graphical Models. 9539-9548 - Yaowei Hu, Lu Zhang:
Achieving Long-Term Fairness in Sequential Decision Making. 9549-9557 - Haewon Jeong, Hao Wang, Flávio P. Calmon:
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values. 9558-9566 - Sumit Kumar Jha, Rickard Ewetz, Alvaro Velasquez, Arvind Ramanathan, Susmit Jha:
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations. 9567-9574 - Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong:
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks. 9575-9583 - Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. 9584-9594 - Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. 9595-9603 - Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer:
Fast Sparse Decision Tree Optimization via Reference Ensembles. 9604-9613 - Thien Q. Tran, Kazuto Fukuchi, Youhei Akimoto, Jun Sakuma:
Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation. 9614-9622 - Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? 9623-9633
AAAI Technical Track on Planning, Routing, and Scheduling
- Mohammad Abdulaziz, Lukas Koller:
Formal Semantics and Formally Verified Validation for Temporal Planning. 9635-9643 - Leonardo Amado, Reuth Mirsky, Felipe Meneguzzi:
Goal Recognition as Reinforcement Learning. 9644-9651 - Spyros Angelopoulos, Shahin Kamali, Dehou Zhang:
Online Search with Best-Price and Query-Based Predictions. 9652-9660 - Tsz-Chiu Au:
Extended Goal Recognition Design with First-Order Computation Tree Logic. 9661-9668 - Thom S. Badings, Alessandro Abate, Nils Jansen, David Parker, Hasan A. Poonawala, Mariëlle Stoelinga:
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise. 9669-9678 - Suguman Bansal, Lydia E. Kavraki, Moshe Y. Vardi, Andrew M. Wells:
Synthesis from Satisficing and Temporal Goals. 9679-9686 - Gregor Behnke, Florian Pollitt, Daniel Höller, Pascal Bercher, Ron Alford:
Making Translations to Classical Planning Competitive with Other HTN Planners. 9687-9697 - Gerard Canal, Senka Krivic, Paul Luff, Andrew Coles:
PlanVerb: Domain-Independent Verbalization and Summary of Task Plans. 9698-9706 - Lukás Chrpa, Pavel Rytír, Rostislav Horcík, Stefan Edelkamp:
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation. 9707-9715 - Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès:
The FF Heuristic for Lifted Classical Planning. 9716-9723 - Yuriy Dementiev, Fedor V. Fomin, Artur Ignatiev:
Inconsistent Planning: When in Doubt, Toss a Coin! 9724-9731 - Franziska Eberle, Alexander Lindermayr, Nicole Megow, Lukas Nölke, Jens Schlöter:
Robustification of Online Graph Exploration Methods. 9732-9740 - Patrick Ferber, Jendrik Seipp:
Explainable Planner Selection for Classical Planning. 9741-9749 - Daniel Fiser, Álvaro Torralba, Jörg Hoffmann:
Operator-Potential Heuristics for Symbolic Search. 9750-9757 - Kshitij Gajjar, Agastya Vibhuti Jha, Manish Kumar, Abhiruk Lahiri:
Reconfiguring Shortest Paths in Graphs. 9758-9766 - Rostislav Horcík, Daniel Fiser, Álvaro Torralba:
Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics. 9767-9775 - Luke Hunsberger, Roberto Posenato:
Speeding Up the RUL¯ Dynamic-Controllability-Checking Algorithm for Simple Temporal Networks with Uncertainty. 9776-9785 - Yuan Jiang, Yaoxin Wu, Zhiguang Cao, Jie Zhang:
Learning to Solve Routing Problems via Distributionally Robust Optimization. 9786-9794 - Brendan Juba, Roni Stern:
Learning Probably Approximately Complete and Safe Action Models for Stochastic Worlds. 9795-9804 - Michael Katz, Shirin Sohrabi, Octavian Udrea:
Bounding Quality in Diverse Planning. 9805-9812 - Michael Katz, Emil Keyder:
A* Search and Bound-Sensitive Heuristics for Oversubscription Planning. 9813-9820 - Luke Kenworthy, Siddharth Nayak, Christopher Chin, Hamsa Balakrishnan:
NICE: Robust Scheduling through Reinforcement Learning-Guided Integer Programming. 9821-9829 - Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu:
Planning to Avoid Side Effects. 9830-9839 - Siow Meng Low, Akshat Kumar, Scott Sanner:
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs. 9840-9848 - Weilin Luo, Pingjia Liang, Jianfeng Du, Hai Wan, Bo Peng, Delong Zhang:
Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. 9849-9857 - Tobias Meggendorfer:
Risk-Aware Stochastic Shortest Path. 9858-9867 - Rashmeet Kaur Nayyar, Pulkit Verma, Siddharth Srivastava:
Differential Assessment of Black-Box AI Agents. 9868-9876 - Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton:
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks. 9877-9885 - Stefan Panjkovic, Andrea Micheli, Alessandro Cimatti:
Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping. 9886-9893 - Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner:
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs. 9894-9901 - Sophie Pinchinat, Sasha Rubin, François Schwarzentruber:
Formula Synthesis in Propositional Dynamic Logic with Shuffle. 9902-9909 - Masood Feyzbakhsh Rankooh, Jussi Rintanen:
Efficient Encoding of Cost Optimal Delete-Free Planning as SAT. 9910-9917 - Marc Rigter, Danial Dervovic, Parisa Hassanzadeh, Jason Long, Parisa Zehtabi, Daniele Magazzeni:
Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction. 9918-9925 - Yunzhuang Shen, Yuan Sun, Xiaodong Li, Andrew C. Eberhard, Andreas T. Ernst:
Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring. 9926-9934 - Animesh Sinha, Utkarsh Azad, Harjinder Singh:
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search. 9935-9943 - Marcel Steinmetz, Jörg Hoffmann, Alisa Kovtunova, Stefan Borgwardt:
Classical Planning with Avoid Conditions. 9944-9952 - Christabel Wayllace, William Yeoh:
Stochastic Goal Recognition Design Problems with Suboptimal Agents. 9953-9961 - Pan Xu, Yifan Xu:
Equity Promotion in Online Resource Allocation. 9962-9970 - Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. 9971-9979 - Zefang Zong, Meng Zheng, Yong Li, Depeng Jin:
MAPDP: Cooperative Multi-Agent Reinforcement Learning to Solve Pickup and Delivery Problems. 9980-9988
AAAI Technical Track on Reasoning under Uncertainty
- Ziqiao Ao, Jinglai Li:
Entropy Estimation via Normalizing Flow. 9990-9998 - Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi:
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. 9999-10007 - Alireza Farhadi, Jacob Gilbert, MohammadTaghi Hajiaghayi:
Generalized Stochastic Matching. 10008-10015 - Gi-Soo Kim, Jane P. Kim, Hyun-Joon Yang:
Robust Tests in Online Decision-Making. 10016-10024 - Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu:
Local Differential Privacy for Belief Functions. 10025-10033 - Chris van Merwijk, Ryan Carey, Tom Everitt:
A Complete Criterion for Value of Information in Soluble Influence Diagrams. 10034-10041 - Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit:
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. 10042-10050 - Yifei Ming, Hang Yin, Yixuan Li:
On the Impact of Spurious Correlation for Out-of-Distribution Detection. 10051-10059 - Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt:
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs. 10060-10069 - Yuanhong Wang, Timothy van Bremen, Yuyi Wang, Ondrej Kuzelka:
Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions. 10070-10079 - Yuhao Wang, Arnab Bhattacharyya:
Identifiability of Linear AMP Chain Graph Models. 10080-10089 - Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt:
DeepStochLog: Neural Stochastic Logic Programming. 10090-10100 - Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang:
Towards Robust Off-Policy Learning for Runtime Uncertainty. 10101-10109 - Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Improving Bayesian Neural Networks by Adversarial Sampling. 10110-10117
AAAI Technical Track on Search and Optimization
- Dongsheng An, Na Lei, Xiaoyin Xu, Xianfeng Gu:
Efficient Optimal Transport Algorithm by Accelerated Gradient Descent. 10119-10128 - Yingjie Bi, Haixiang Zhang, Javad Lavaei:
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. 10129-10137 - Zhaoxing Bu, Richard E. Korf:
A*+BFHS: A Hybrid Heuristic Search Algorithm. 10138-10145 - Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou, Jieyu Wu:
NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem. 10146-10155 - Hamid Dadkhahi, Jesus Rios, Karthikeyan Shanmugam, Payel Das:
Fourier Representations for Black-Box Optimization over Categorical Variables. 10156-10165 - Maximilian Fickert, Tianyi Gu, Wheeler Ruml:
New Results in Bounded-Suboptimal Search. 10166-10173 - Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin:
An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs. 10174-10183 - Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - a Framework for Neural Architecture Search. 10184-10192 - Thekla Hamm, Nina Klobas, George B. Mertzios, Paul G. Spirakis:
The Complexity of Temporal Vertex Cover in Small-Degree Graphs. 10193-10201 - Jack Heavey, Jiaming Cui, Chen Chen, B. Aditya Prakash, Anil Vullikanti:
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. 10202-10209 - Garrett E. Katz, Naveed Tahir:
Towards Automated Discovery of God-Like Folk Algorithms for Rubik's Cube. 10210-10218 - Elias B. Khalil, Christopher Morris, Andrea Lodi:
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. 10219-10227 - Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea:
Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization. 10228-10237 - Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer:
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. 10238-10246 - Jakub Kowalski, Maksymilian Mika, Wojciech Pawlik, Jakub Sutowicz, Marek Szykula, Mark H. M. Winands:
Split Moves for Monte-Carlo Tree Search. 10247-10255 - Jiaoyang Li, Zhe Chen, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search. 10256-10265 - Shuang Li, Qiuwei Li:
Local and Global Convergence of General Burer-Monteiro Tensor Optimizations. 10266-10274 - Tieying Li, Xiaochun Yang, Bin Wang, Chong Xi, Hanzhong Zheng, Xiangmin Zhou:
Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval. 10275-10282 - Weilin Luo, Rongzhen Ye, Hai Wan, Shaowei Cai, Biqing Fang, Delong Zhang:
Improving Local Search Algorithms via Probabilistic Configuration Checking. 10283-10290 - Frederico Messa, André Grahl Pereira:
PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm. 10291-10298 - Michael D. Moffitt:
Search Strategies for Topological Network Optimization. 10299-10308 - Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu, Chonggang Wang:
Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks. 10309-10318 - Keisuke Otaki:
Planning with Explanations for Finding Desired Meeting Points on Graphs. 10319-10326 - Shiwei Pan, Yiyuan Wang, Minghao Yin:
A Fast Local Search Algorithm for the Latin Square Completion Problem. 10327-10335 - Akbar Rafiey, Yuichi Yoshida:
Sparsification of Decomposable Submodular Functions. 10336-10344 - Nicolás Rivera, Jorge A. Baier, Carlos Hernández:
Subset Approximation of Pareto Regions with Bi-objective A. 10345-10352 - Alexander A. Semenov, Artem Pavlenko, Daniil Chivilikhin, Stepan Kochemazov:
On Probabilistic Generalization of Backdoors in Boolean Satisfiability. 10353-10361 - Chung-Chin Shih, Ti-Rong Wu, Ting-Han Wei, I-Chen Wu:
A Novel Approach to Solving Goal-Achieving Problems for Board Games. 10362-10369 - Alexander Tornede, Viktor Bengs, Eyke Hüllermeier:
Machine Learning for Online Algorithm Selection under Censored Feedback. 10370-10380 - Junxiong Wang, Debabrota Basu, Immanuel Trummer:
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback. 10381-10390 - Huan Xiong:
DPCD: Discrete Principal Coordinate Descent for Binary Variable Problems. 10391-10398 - Hai-Tao Yu:
Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization. 10399-10407 - Weijie Zheng, Yufei Liu, Benjamin Doerr:
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). 10408-10416
AAAI Technical Track on Speech and Natural Language Processing
- Abdullah Albanyan, Eduardo Blanco:
Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies. 10418-10426 - Malihe Alikhani, Fangda Han, Hareesh Ravi, Mubbasir Kapadia, Vladimir Pavlovic, Matthew Stone:
Cross-Modal Coherence for Text-to-Image Retrieval. 10427-10435 - Berkeley R. Andrus, Yeganeh Nasiri, Shilong Cui, Benjamin Cullen, Nancy Fulda:
Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs. 10436-10444 - Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. 10445-10453 - Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu:
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. 10454-10462 - Hanjie Chen, Yangfeng Ji:
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. 10463-10472 - Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. 10473-10481 - Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li:
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. 10482-10491 - Junfan Chen, Richong Zhang, Yongyi Mao, Jie Xu:
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification. 10492-10500 - Nuo Chen, Linjun Shou, Ming Gong, Jian Pei:
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension. 10501-10508 - Zeming Chen, Qiyue Gao:
Probing Linguistic Information for Logical Inference in Pre-trained Language Models. 10509-10517 - David Cheng-Han Chiang, Hung-Yi Lee:
On the Transferability of Pre-trained Language Models: A Study from Artificial Datasets. 10518-10525 - Seungtaek Choi, Myeongho Jeong, Hojae Han, Seung-won Hwang:
C2L: Causally Contrastive Learning for Robust Text Classification. 10526-10534 - Jishnu Ray Chowdhury, Yong Zhuang, Shuyi Wang:
Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning. 10535-10544 - George Chrysostomou, Nikolaos Aletras:
Flexible Instance-Specific Rationalization of NLP Models. 10545-10553 - Pierre Jean A. Colombo, Chloé Clavel, Pablo Piantanida:
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. 10554-10562 - Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar:
Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. 10563-10571 - Zi-Yi Dou, Nanyun Peng:
Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization. 10572-10580 - Yibing Du, Antoine Bosselut, Christopher D. Manning:
Synthetic Disinformation Attacks on Automated Fact Verification Systems. 10581-10589 - Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu:
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement. 10590-10598 - Nicholas Egan, Oleg V. Vasilyev, John Bohannon:
Play the Shannon Game with Language Models: A Human-Free Approach to Summary Evaluation. 10599-10607 - Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. 10608-10617 - Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal:
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models. 10618-10626 - Steven Fincke, Shantanu Agarwal, Scott Miller, Elizabeth Boschee:
Language Model Priming for Cross-Lingual Event Extraction. 10627-10635 - Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz:
Language Modelling via Learning to Rank. 10636-10644 - Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy:
NAREOR: The Narrative Reordering Problem. 10645-10653 - Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu:
UNISON: Unpaired Cross-Lingual Image Captioning. 10654-10662 - Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. 10663-10671 - Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin:
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs. 10672-10680 - Mengshi Ge, Rui Mao, Erik Cambria:
Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. 10681-10689 - Yantao Gong, Cao Liu, Fan Yang, Xunliang Cai, Guanglu Wan, Jiansong Chen, Weipeng Zhang, Houfeng Wang:
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss. 10690-10698 - Yuan Gong, Cheng-I Lai, Yu-An Chung, James R. Glass:
SSAST: Self-Supervised Audio Spectrogram Transformer. 10699-10709 - Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo:
Block-Skim: Efficient Question Answering for Transformer. 10710-10719 - Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan:
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. 10720-10728 - Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. 10729-10737 - Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür:
Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. 10738-10748 - Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. 10749-10757 - Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. 10758-10766 - Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park:
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents. 10767-10775 - Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. 10776-10784 - Pei Huang, Yuting Yang, Fuqi Jia, Minghao Liu, Feifei Ma, Jian Zhang:
Word Level Robustness Enhancement: Fight Perturbation with Perturbation. 10785-10793 - Patrick Huber, Linzi Xing, Giuseppe Carenini:
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation. 10794-10802 - Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Dong-Hoon Shin, Seungryong Kim, Heuiseok Lim:
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge. 10803-10812 - Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Towards Building ASR Systems for the Next Billion Users. 10813-10821 - Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu:
Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference. 10822-10830 - Fan Jiang, Trevor Cohn:
Incorporating Constituent Syntax for Coreference Resolution. 10831-10839 - Xiaoze Jiang, Yaobo Liang, Weizhu Chen, Nan Duan:
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge. 10840-10848 - Lisa Jin, Linfeng Song, Lifeng Jin, Dong Yu, Daniel Gildea:
Hierarchical Context Tagging for Utterance Rewriting. 10849-10857 - Shailza Jolly, Zi Xuan Zhang, Andreas Dengel, Lili Mou:
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. 10858-10866 - Aditya Kalyanpur, Tom Breloff, David A. Ferrucci:
Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations. 10867-10874 - Yu Kang, Tianqiao Liu, Hang Li, Yang Hao, Wenbiao Ding:
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data. 10875-10883 - Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff, Francis Ferraro, Cynthia Matuszek:
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech. 10884-10893 - Hazel H. Kim, Daecheol Woo, Seong Joon Oh, Jeong-Won Cha, Yo-Sub Han:
ALP: Data Augmentation Using Lexicalized PCFGs for Few-Shot Text Classification. 10894-10902 - Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal:
CAISE: Conversational Agent for Image Search and Editing. 10903-10911 - Minju Kim, Beong-woo Kwak, Youngwook Kim, Hong-in Lee, Seung-won Hwang, Jinyoung Yeo:
Dual Task Framework for Improving Persona-Grounded Dialogue Dataset. 10912-10920 - Hirokazu Kiyomaru, Sadao Kurohashi:
Minimally-Supervised Joint Learning of Event Volitionality and Subject Animacy Classification. 10921-10929 - Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu:
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. 10930-10937 - Harrison Lee, Raghav Gupta, Abhinav Rastogi, Yuan Cao, Bin Zhang, Yonghui Wu:
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems. 10938-10946 - Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang:
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction. 10947-10955 - Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. 10956-10964 - Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji, Fei Li:
Unified Named Entity Recognition as Word-Word Relation Classification. 10965-10973 - Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu:
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. 10974-10982 - Mingxiao Li, Marie-Francine Moens:
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. 10983-10992 - Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Knowledge Bridging for Empathetic Dialogue Generation. 10993-11001 - Shimin Li, Hang Yan, Xipeng Qiu:
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer. 11002-11010 - Qian Lin, Hwee Tou Ng:
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues. 11011-11019 - Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, Zhou Zhao:
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. 11020-11028 - Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su:
KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. 11029-11037 - Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. 11038-11046 - Emanuele La Malfa, Marta Kwiatkowska:
The King Is Naked: On the Notion of Robustness for Natural Language Processing. 11047-11057 - Hieu Man, Nghia Trung Ngo, Linh Ngo Van, Thien Huu Nguyen:
Selecting Optimal Context Sentences for Event-Event Relation Extraction. 11058-11066 - Elman Mansimov, Yi Zhang:
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder. 11067-11075 - Fei Mi, Yasheng Wang, Yitong Li:
CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems. 11076-11084 - Gianluca Moro, Luca Ragazzi:
Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes. 11085-11093 - Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula:
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents. 11094-11102 - Thong Thanh Nguyen, Anh Tuan Luu:
Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation. 11103-11111 - Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria:
HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning. 11112-11120 - Donovan Ong, Jian Su, Bin Chen, Anh Tuan Luu, Ashok Narendranath, Yue Li, Shuqi Sun, Yingzhan Lin, Haifeng Wang:
Is Discourse Role Important for Emotion Recognition in Conversation? 11121-11129 - Lin Pan, Chung-Wei Hang, Avirup Sil, Saloni Potdar:
Improved Text Classification via Contrastive Adversarial Training. 11130-11138 - Shounak Paul, Pawan Goyal, Saptarshi Ghosh:
LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents. 11139-11146 - Jiahuan Pei, Cheng Wang, György Szarvas:
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention. 11147-11155 - Sveva Pepe, Edoardo Barba, Rexhina Blloshmi, Roberto Navigli:
STEPS: Semantic Typing of Event Processes with a Sequence-to-Sequence Approach. 11156-11164 - Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim:
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. 11165-11173 - Ron Korenblum Pick, Vladyslav Kozhukhov, Dan Vilenchik, Oren Tsur:
STEM: Unsupervised STructural EMbedding for Stance Detection. 11174-11182 - Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. 11183-11191 - Juan Antonio Ramirez-Orta, Eduardo Xamena, Ana Gabriela Maguitman, Evangelos E. Milios, Axel J. Soto:
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models. 11192-11199 - Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji:
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. 11200-11208 - Kyle Richardson, Ashish Sabharwal:
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. 11209-11219 - Joel Rixen, Matthias Renz:
SFSRNet: Super-resolution for Single-Channel Audio Source Separation. 11220-11228 - Sahand Sabour, Chujie Zheng, Minlie Huang:
CEM: Commonsense-Aware Empathetic Response Generation. 11229-11237 - Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text. 11238-11247 - Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoît Favre:
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective. 11248-11257 - Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger:
Entailment Relation Aware Paraphrase Generation. 11258-11266 - Bianca Scarlini, Tommaso Pasini, Roberto Navigli:
Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects. 11267-11275 - Seungmin Seo, Donghyun Kim, Youbin Ahn, Kyong-Ho Lee:
Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss. 11276-11284 - Yuming Shang, Heyan Huang, Xianling Mao:
OneRel: Joint Entity and Relation Extraction with One Module in One Step. 11285-11293 - Lingfeng Shen, Shoushan Li, Ying Chen:
KATG: Keyword-Bias-Aware Adversarial Text Generation for Text Classification. 11294-11302 - Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. 11303-11311 - Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang:
Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering. 11312-11320 - Zhengxiang Shi, Qiang Zhang, Aldo Lipani:
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts. 11321-11329 - Yaman Kumar Singla, Swapnil Parekh, Somesh Singh, Changyou Chen, Balaji Krishnamurthy, Rajiv Ratn Shah:
MINIMAL: Mining Models for Universal Adversarial Triggers. 11330-11339 - Zixing Song, Irwin King:
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. 11340-11348 - Joe Stacey, Yonatan Belinkov, Marek Rei:
Supervising Model Attention with Human Explanations for Robust Natural Language Inference. 11349-11357 - Chang-Yu Tai, Ming-Yao Li, Lun-Wei Ku:
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. 11358-11366 - Jialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie, Jin Xu:
Procedural Text Understanding via Scene-Wise Evolution. 11367-11375 - Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing:
Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning. 11376-11384 - Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel:
Chess as a Testbed for Language Model State Tracking. 11385-11393 - Austin Cheng-Yun Tsai, Sheng-Ya Lin, Li-Chen Fu:
Contrast-Enhanced Semi-supervised Text Classification with Few Labels. 11394-11402 - Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. 11403-11411 - Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrey Chertok, Sergey I. Nikolenko:
DetIE: Multilingual Open Information Extraction Inspired by Object Detection. 11412-11420 - Anran Wang, Maruchi Kim, Hao Zhang, Shyamnath Gollakota:
Hybrid Neural Networks for On-Device Directional Hearing. 11421-11430 - Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Jiajun Chen:
Non-parametric Online Learning from Human Feedback for Neural Machine Translation. 11431-11439 - Qian Wang, Jiajun Zhang:
Parameter Differentiation Based Multilingual Neural Machine Translation. 11440-11448 - Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang:
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. 11449-11458 - Anuradha Welivita, Pearl Pu:
HEAL: A Knowledge Graph for Distress Management Conversations. 11459-11467 - Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang:
Deep Fusing Pre-trained Models into Neural Machine Translation. 11468-11476 - Robert Wolfe, Aylin Caliskan:
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. 11477-11485 - Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. 11486-11494 - Huanqin Wu, Baijiaxin Ma, Wei Liu, Tao Chen, Dan Nie:
Fast and Constrained Absent Keyphrase Generation by Prompt-Based Learning. 11495-11503 - Jie Wu, Ian G. Harris, Hongzhi Zhao:
GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks. 11504-11512 - Shengqiong Wu, Hao Fei, Fei Li, Meishan Zhang, Yijiang Liu, Chong Teng, Donghong Ji:
Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling. 11513-11521 - Zhipeng Xie, Yumin Tu:
A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection. 11522-11529 - Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. 11530-11537 - Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi:
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. 11538-11546 - Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. 11547-11555 - Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. 11556-11565 - Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. 11566-11574 - Xiao Xu, Libo Qin, Kaiji Chen, Guoxing Wu, Linlin Li, Wanxiang Che:
Text Is No More Enough! A Benchmark for Profile-Based Spoken Language Understanding. 11575-11585 - Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu:
SAS: Self-Augmentation Strategy for Language Model Pre-training. 11586-11594 - Lin Yang, Yi Shen, Yue Mao, Longjun Cai:
Hybrid Curriculum Learning for Emotion Recognition in Conversation. 11595-11603 - Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. 11604-11612 - Xi Yang, Jie Zhang, Kejiang Chen, Weiming Zhang, Zehua Ma, Feng Wang, Nenghai Yu:
Tracing Text Provenance via Context-Aware Lexical Substitution. 11613-11621 - Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria:
Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents. 11622-11629 - Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng:
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. 11630-11638 - Weizhe Yuan, Pengfei Liu:
KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. 11639-11647 - Huanjing Yue, Wenxin Duo, Xiulian Peng, Jingyu Yang:
Reference-Based Speech Enhancement via Feature Alignment and Fusion Network. 11648-11656 - Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li:
MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation. 11657-11666 - Haodi Zhang, Zhichao Zeng, Keting Lu, Kaishun Wu, Shiqi Zhang:
Efficient Dialog Policy Learning by Reasoning with Contextual Knowledge. 11667-11675 - Litian Zhang, Xiaoming Zhang, Junshu Pan:
Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization. 11676-11684 - Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
Adversarial Data Augmentation for Task-Specific Knowledge Distillation of Pre-trained Transformers. 11685-11693 - Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. 11694-11702 - Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. 11703-11711 - Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. 11712-11720 - Xiaohan Zhang, Shaonan Wang, Nan Lin, Jiajun Zhang, Chengqing Zong:
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method. 11721-11729 - Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao:
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives. 11730-11738 - Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. 11739-11747 - Yunxiang Zhang, Xiaojun Wan:
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles. 11748-11756 - Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang:
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation. 11757-11764 - Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng:
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. 11765-11773 - Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat:
Idiomatic Expression Paraphrasing without Strong Supervision. 11774-11782 - Ming Zhu, Karthik Suresh, Chandan K. Reddy:
Multilingual Code Snippets Training for Program Translation. 11783-11790
AAAI Special Track on AI for Social Impact
- Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. 11792-11800 - Ahmed Abouzeid, Ole-Christoffer Granmo, Christian Webersik, Morten Goodwin:
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization. 11801-11809 - Sourabh Balgi, José M. Peña, Adel Daoud:
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows. 11810-11818 - Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. 11819-11827 - Xiangrui Cai, Jinsheng Tao, Shichao Wang, Zhiyu Wang, Jiaxian Wang, Mei Li, Hong Wang, Xixiang Tu, Hao Yang, Jian-Bing Fan, Hua Ji:
Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning. 11828-11836 - Xiaoyan Cao, Yao Yao, Lanqing Li, Wanpeng Zhang, Zhicheng An, Zhong Zhang, Li Xiao, Shihui Guo, Xiaoyu Cao, Meihong Wu, Dijun Luo:
iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. 11837-11845 - Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang:
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking. 11846-11854 - Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova:
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. 11855-11863 - Lei Ding, Dengdeng Yu, Jinhan Xie, Wenxing Guo, Shenggang Hu, Meichen Liu, Linglong Kong, Hongsheng Dai, Yanchun Bao, Bei Jiang:
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving. 11864-11872 - Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes:
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction. 11873-11881 - Yunhe Feng, Chirag Shah:
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. 11882-11890 - Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje:
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation. 11891-11899 - Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
FairFoody: Bringing In Fairness in Food Delivery. 11900-11907 - Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard:
Bayesian Optimisation for Active Monitoring of Air Pollution. 11908-11916 - Raghu Vamshi Hemadri, Amarjot Singh, Ajeet Singh:
ChildrEN SafEty and Rescue (CENSER) System for Trafficked Children from Brothels in India. 11917-11925 - Corinna Hertweck, Tim Räz:
Gradual (In)Compatibility of Fairness Criteria. 11926-11934 - Dina Hussein, Ganapati Bhat, Janardhan Rao Doppa:
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health. 11935-11944 - Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? 11945-11953 - Masahiro Kaneko, Danushka Bollegala:
Unmasking the Mask - Evaluating Social Biases in Masked Language Models. 11954-11962 - Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman:
CrossWalk: Fairness-Enhanced Node Representation Learning. 11963-11970 - Doyoung Kim, Hyangsuk Min, Youngeun Nam, Hwanjun Song, Susik Yoon, Minseok Kim, Jae-Gil Lee:
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies. 11971-11981 - Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope:
A Search Engine for Discovery of Scientific Challenges and Directions. 11982-11990 - Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li:
Transcribing Natural Languages for the Deaf via Neural Editing Programs. 11991-11999 - Qiaomei Li, Rachel Cummings, Yonatan Mintz:
Optimal Local Explainer Aggregation for Interpretable Prediction. 12000-12007 - Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer:
Fair Conformal Predictors for Applications in Medical Imaging. 12008-12016 - Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe:
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. 12017-12025 - Seán Matthews, John Hudzina, Dawn Sepehr:
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings. 12026-12033 - Chenlin Meng, Enci Liu, Willie Neiswanger, Jiaming Song, Marshall Burke, David B. Lobell, Stefano Ermon:
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. 12034-12042 - Jin-Hwi Park, Young-Jae Park, Junoh Lee, Hae-Gon Jeon:
DevianceNet: Learning to Predict Deviance from a Large-Scale Geo-Tagged Dataset. 12043-12052 - Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha:
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. 12053-12061 - Sungwon Park, Sundong Kim, Meeyoung Cha:
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. 12062-12070 - Oscar Pastor-Serrano, Zoltán Perkó:
Learning the Physics of Particle Transport via Transformers. 12071-12079 - Zeel B. Patel, Palak Purohit, Harsh M. Patel, Shivam Sahni, Nipun Batra:
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference. 12080-12088 - Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. 12089-12097 - Dilini Rajapaksha, Christoph Bergmeir:
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. 12098-12107 - Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar:
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. 12108-12118 - Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu:
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. 12119-12125 - Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.:
Deep Movement Primitives: Toward Breast Cancer Examination Robot. 12126-12134 - Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez:
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. 12135-12144 - Muhammad Sarmad, Mishal Fatima, Jawad Tayyub:
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features. 12145-12153 - Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang:
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms. 12154-12162 - Apoorva Singh, Soumyodeep Dey, Anamitra Singha, Sriparna Saha:
Sentiment and Emotion-Aware Multi-Modal Complaint Identification. 12163-12171 - Sanja Stajner, Kim Cheng Sheang, Horacio Saggion:
Sentence Simplification Capabilities of Transfer-Based Models. 12172-12180 - Yiheng Sun, Tian Lu, Cong Wang, Yuan Li, Huaiyu Fu, Jingran Dong, Yunjie Xu:
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion. 12181-12190 - Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe:
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. 12191-12199 - Zhiyuan Wang, Xovee Xu, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fan Zhou:
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model. 12200-12207 - Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. 12208-12216 - Guang Yang, Juan Cao, Qiang Sheng, Peng Qi, Xirong Li, Jintao Li:
DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection. 12217-12225 - Jeewoo Yoon, Chaewon Kang, Seungbae Kim, Jinyoung Han:
D-vlog: Multimodal Vlog Dataset for Depression Detection. 12226-12234 - Wenbin Zhang, Jeremy C. Weiss:
Longitudinal Fairness with Censorship. 12235-12243
Senior Member Presentation: Blue Sky Papers
- Ronald J. Brachman, Hector J. Levesque:
Toward a New Science of Common Sense. 12245-12249 - Sanmay Das:
Local Justice and the Algorithmic Allocation of Scarce Societal Resources. 12250-12255 - José Hernández-Orallo, Wout Schellaert, Fernando Martínez-Plumed:
Training on the Test Set: Mapping the System-Problem Space in AI. 12256-12261 - Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan:
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems. 12262-12267 - Pat Langley:
The Computational Gauntlet of Human-Like Learning. 12268-12273 - Roberto Navigli, Rexhina Blloshmi, Abelardo Carlos Martinez Lorenzo:
BabelNet Meaning Representation: A Fully Semantic Formalism to Overcome Language Barriers. 12274-12279 - Michael J. Pazzani, Severine Soltani, Robert A. Kaufman, Samson Qian, Albert Hsiao:
Expert-Informed, User-Centric Explanations for Machine Learning. 12280-12286 - Filip Radlinski, Craig Boutilier, Deepak Ramachandran, Ivan Vendrov:
Subjective Attributes in Conversational Recommendation Systems: Challenges and Opportunities. 12287-12293 - Sven Seuken, Paul Friedrich, Ludwig Dierks:
Market Design for Drone Traffic Management. 12294-12300 - Munindar P. Singh:
Consent as a Foundation for Responsible Autonomy. 12301-12306
Senior Member Presentation: Summary Papers
- Haris Aziz, Péter Biró, Makoto Yokoo:
Matching Market Design with Constraints. 12308-12316 - Prajjwal Bhargava, Vincent Ng:
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey. 12317-12325 - Hector Geffner:
Target Languages (vs. Inductive Biases) for Learning to Act and Plan. 12326-12333 - Meir Kalech, Avraham Natan:
Model-Based Diagnosis of Multi-Agent Systems: A Survey. 12334-12341 - João Marques-Silva, Alexey Ignatiev:
Delivering Trustworthy AI through Formal XAI. 12342-12350 - Richa Singh, Puspita Majumdar, Surbhi Mittal, Mayank Vatsa:
Anatomizing Bias in Facial Analysis. 12351-12358
IAAI Technical Track on Highly Innovative Applications of AI
- Xiaojie Guo, Shugen Wang, Hanqing Zhao, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Jianchao Lu, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Intelligent Online Selling Point Extraction for E-commerce Recommendation. 12360-12368 - Matej Kocián, Jakub Náplava, Daniel Stancl, Vladimír Kadlec:
Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset. 12369-12377 - Nataliya Le Vine, Eric Boxer, Mustafa Dinani, Paolo Tortora, Subhradeep Das:
Identifying Early Warning Signals from News Using Network Community Detection. 12378-12386 - Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao:
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce. 12387-12395 - Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang:
Contribution-Aware Federated Learning for Smart Healthcare. 12396-12404 - Tarun Tater, Neelamadhav Gantayat, Sampath Dechu, Hussain Jagirdar, Harshit Rawat, Meena Guptha, Surbhi Gupta, Lukasz Strak, Shashi Kiran, Sivakumar Narayanan:
AI Driven Accounts Payable Transformation. 12405-12413 - Ender Tekin, Qian You, Devin M. Conathan, Glenn Moo Fung, Thomas S. Kneubuehl:
Harvest - a System for Creating Structured Rate Filing Data from Filing PDFs. 12414-12422 - Xueying Zhang, Yanyan Zou, Hainan Zhang, Jing Zhou, Shiliang Diao, Jiajia Chen, Zhuoye Ding, Zhen He, Xueqi He, Yun Xiao, Bo Long, Han Yu, Lingfei Wu:
Automatic Product Copywriting for E-commerce. 12423-12431
IAAI Technical Track on Emerging Applications of AI
- Shivani Arbat, Vinodh Kumaran Jayakumar, Jaewoo Lee, Wei Wang, In Kee Kim:
Wasserstein Adversarial Transformer for Cloud Workload Prediction. 12433-12439 - Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern:
Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. 12440-12446 - Brian R. Bartoldson, Rui Wang, Yucheng Fu, David Widemann, Sam Nguyen, Jie Bao, Zhijie Xu, Brenda Ng:
Latent Space Simulation for Carbon Capture Design Optimization. 12447-12453 - Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe:
Micronutrient Deficiency Prediction via Publicly Available Satellite Data. 12454-12460 - Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe:
Using Public Data to Predict Demand for Mobile Health Clinics. 12461-12467 - Yuzhou Chen, Yuliya Marchetti, Elena Sizikova, Yulia R. Gel:
TCN: Pioneering Topological-Based Convolutional Networks for Planetary Terrain Learning. 12468-12474 - Anoop Karnik Dasika, Praveen Paruchuri:
CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance. 12475-12481 - Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar, Abhinav Ravi:
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-commerce. 12482-12488 - Paolo Fraccaro, Nikola Stoyanov, Zaheed Gaffoor, Laura Elena Cue La Rosa, Jitendra Singh, Tatsuya Ishikawa, Blair Edwards, Anne Jones, Komminist Weldemariam:
Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data. 12489-12495 - Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe:
Facilitating Human-Wildlife Cohabitation through Conflict Prediction. 12496-12502 - Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim:
PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. 12503-12509 - Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti:
Flexible-Window Predictions on Electronic Health Records. 12510-12516 - Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam:
AI for Disaster Rapid Damage Assessment from Microblogs. 12517-12523 - Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr:
Designing a Human-in-the-Loop System for Object Detection in Floor Plans. 12524-12530 - Porter Jenkins, Hua Wei, J. Stockton Jenkins, Zhenhui Li:
Bayesian Model-Based Offline Reinforcement Learning for Product Allocation. 12531-12537 - Tian Jiang, Meichen Huang, Ignacio Segovia-Dominguez, Nathaniel K. Newlands, Yulia R. Gel:
Learning Space-Time Crop Yield Patterns with Zigzag Persistence-Based LSTM: Toward More Reliable Digital Agriculture Insurance. 12538-12544 - Dohee Kim, Hong Gi Shim, Jeong Soo Eo:
A Machine Learning Method for EV Range Prediction with Updates on Route Information and Traffic Conditions. 12545-12551 - Aleksei Kuvshinov, Daniel Knobloch, Daniel Külzer, Elen Vardanyan, Stephan Günnemann:
Domain Reconstruction for UWB Car Key Localization Using Generative Adversarial Networks. 12552-12558 - Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu:
ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. 12559-12565 - Jingxian Liao, Wei Wang, Jason Xue, Anthony Lei, Xue Han, Kun Lu:
Combating Sampling Bias: A Self-Training Method in Credit Risk Models. 12566-12572 - Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe:
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. 12573-12579 - Dennis Müller, Michael März, Stephan Scheele, Ute Schmid:
An Interactive Explanatory AI System for Industrial Quality Control. 12580-12586 - Naren Nallapareddy, Soumya Ray:
Inferring Multiple Tissue Properties from Magnetic Resonance Fingerprinting Images. 12587-12593 - Galia Nordon, Aviram Magen, Ido Guy, Kira Radinsky:
Learning to Rank Articles for Molecular Queries. 12594-12600 - Nils Schwenzfeier, Markus Heikamp, Ole Meyer, Andre Hönnscheidt, Michael Steffes, Volker Gruhn:
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data. 12601-12607 - Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav:
Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. 12608-12614 - Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. 12615-12621 - Thanh Tran, Kai Wei, Weitong Ruan, Ross McGowan, Nathan Susanj, Grant P. Strimel:
Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. 12622-12628 - Harshal Tupsamudre, Arun Kumar, Vikas Agarwal, Nisha Gupta, Sneha Mondal:
AI-Assisted Controls Change Management for Cybersecurity in the Cloud. 12629-12635 - Hong Yang, Aidan P. LaBella, Travis Desell:
Predictive Maintenance for General Aviation Using Convolutional Transformers. 12636-12642 - Wenzhen Zhu, Negin Sokhandan, Guang Yang, Sujitha Martin, Suchitra Sathyanarayana:
DocBed: A Multi-Stage OCR Solution for Documents with Complex Layouts. 12643-12649
IAAI Technical Track on Innovative Tools for Enabling AI Application
- Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI Explainability 360: Impact and Design. 12651-12657 - Maeda F. Hanafi, Yannis Katsis, Martín Santillán Cooper, Yunyao Li:
A Simulation-Based Evaluation Framework for Interactive AI Systems and Its Application. 12658-12664 - Xin Wang, Amin Hosseininasab, Pablo Colunga, Serdar Kadioglu, Willem-Jan van Hoeve:
Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining. 12665-12671
IAAI Technical Track on AI Integration
- Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro:
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning. 12673-12679
EAAI Symposium: Full Papers
- Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang:
Towards an AI-Infused Interdisciplinary Curriculum for Middle-Grade Classrooms. 12681-12688 - Mohammad Arif Ul Alam:
College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion. 12689-12697 - Lauren Alvarez, Isabella Gransbury, Veronica Cateté, Tiffany Barnes, Ákos Lédeczi, Shuchi Grover:
A Socially Relevant Focused AI Curriculum Designed for Female High School Students. 12698-12705 - Jean-Pierre Astudillo Guerra, Karim Ahmed, Ryan Maher, Eddie Ubri, Jeremy Blum:
Game Design for Better Security of Combination Locks. 12706-12712 - Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David S. Touretzky:
Interactive Visualizations of Word Embeddings for K-12 Students. 12713-12720 - Anand D. Blum, R. Mitchell Parry:
Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles. 12721-12726 - Nathaniel Budijono, Phoebe Goldman, Jack Maloney, Joseph B. Mueller, Phillip Walker, Jack Ladwig, Richard G. Freedman:
Ludus: An Optimization Framework to Balance Auto Battler Cards. 12727-12734 - Effat Farhana, Teomara Rutherford, Collin F. Lynch:
Predictive Student Modelling in an Online Reading Platform. 12735-12743 - Cassandra Ford, Merrick Ohata:
Game Balancing in Dominion: An Approach to Identifying Problematic Game Elements. 12744-12750 - Carina Geldhauser, Andreas Daniel Matt, Christian Stussak:
I AM A.I. Gradient Descent - an Open-Source Digital Game for Inquiry-Based CLIL Learning. 12751-12757 - Sara Guerreiro-Santalla, Alma Mallo, Tamara Baamonde, Francisco Bellas:
Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence. 12758-12765 - David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib:
An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates. 12766-12773 - Ari Krakowski, Eric Greenwald, Timothy Hurt, Brandie Nonnecke, Matthew A. Cannady:
Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning. 12774-12782 - Irene Lee, Beatriz Perret:
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. 12783-12791 - Ana Lucic, Maurits J. R. Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke:
Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. 12792-12800 - Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal:
Introducing Variational Autoencoders to High School Students. 12801-12809 - Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu:
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. 12810-12818 - Todd W. Neller, Hien G. Tran:
The Bullets Puzzle: A Paper-and-Pencil Minesweeper. 12819-12825 - Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. 12826-12834 - Yaman Kumar Singla, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen:
Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees. 12835-12843 - Iain Smith, Calin Anton:
Artificial Intelligence Approaches to Build Ticket to Ride Maps. 12844-12851 - Jiachen Song, Linan Zhang, Jinglei Yu, Yan Peng, Anyao Ma, Yu Lu:
Paving the Way for Novices: How to Teach AI for K-12 Education in China. 12852-12857
EAAI Symposium: Lightning Talk
- Nancye Blair Black:
Teaching AI with the Hands-On AI Projects for the Classroom Series. 12859 - William Finzer, Jie Chao, Carolyn P. Rosé, Shiyan Jiang:
StoryQ - an Online Environment for Machine Learning of Text Classification. 12860 - Ken Kahn, Ramana Prasad, Gayathri Veera:
AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use. 12861
EAAI Symposium: Model AI Assignment Abstracts
- Todd W. Neller, Jazmin Collins, Daniel Schneider, Yim Register, Christopher Brooks, Chia-Wei Tang, Chao-Lin Liu, Roozbeh Aliabadi, Annabel Hasty, Sultan Albarakati, Haotian Fang, Harvey Yin, Joel Wilson:
Model AI Assignments 2022. 12863-12864
The Twenty - Seventh AAAI / SIGAI Doctoral Consortium
- Oshin Agarwal:
Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding. 12866-12867 - Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal:
AI-Driven Road Condition Monitoring across Multiple Nations. 12868-12869 - Sebastian Berns:
Increasing the Diversity of Deep Generative Models. 12870-12871 - Geetanjali Bihani:
Interpretable Privacy Preservation of Text Representations Using Vector Steganography. 12872-12873 - Lydia Bryan-Smith:
Using Multimodal Data and AI to Dynamically Map Flood Risk. 12874-12875 - Matthew C. Fontaine:
Towards Automating the Generation of Human-Robot Interaction Scenarios. 12876-12877 - Denizalp Goktas:
An Algorithmic Theory of Markets and Their Application to Decentralized Markets. 12878-12879 - Nicholas Halliwell:
Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs. 12880-12881 - Stefan Heidekrüger:
Equilibrium Learning in Auction Markets. 12882-12883 - S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai:
On the Practical Robustness of the Nesterov's Accelerated Quasi-Newton Method. 12884-12885 - Ariel Kwiatkowski:
Creating Interactive Crowds with Reinforcement Learning. 12886-12887 - Aarti Malhotra:
Socially Intelligent Affective AI. 12888-12889 - Shefeh Prisilia Mbuy:
Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses. 12890-12891 - Fan Meng:
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting. 12892-12893 - Kanishka Misra:
On Semantic Cognition, Inductive Generalization, and Language Models. 12894-12895 - Rohan R. Paleja:
Mutual Understanding in Human-Machine Teaming. 12896-12897
AAAI Student Abstract and Poster Program
- Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka:
Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract). 12899-12900 - Mohsin Ali, Kandukuri Sai Teja, Sumanth Manduru, Parth Patwa, Amitava Das:
PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract). 12901-12902 - Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi:
A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract). 12903-12904 - Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). 12905-12906 - Hubert Baniecki, Przemyslaw Biecek:
Manipulating SHAP via Adversarial Data Perturbations (Student Abstract). 12907-12908 - Billal Belainine, Fatiha Sadat, Mounir Boukadoum:
Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract). 12909-12910 - Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra:
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). 12911-12912 - Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal:
Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract). 12913-12914 - Aaryan Bhagat, Faraaz Mallick, Neel Karia, Ayush Kaushal:
INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract). 12915-12916 - Junchi Bin, Choudhury A. Rahman, Shane Rogers, Shan Du, Zheng Liu:
A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract). 12917-12918 - Václav Blazej, Dusan Knop, Simon Schierreich:
Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract). 12919-12920 - Yuqi Bu, Jiayuan Xie, Liuwu Li, Qiong Liu, Yi Cai:
Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract). 12921-12922 - Francois Buet-Golfouse, Hans Roggeman:
Numerical Approximations of Log Gaussian Cox Process (Student Abstract). 12923-12924 - Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan:
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). 12925-12926 - Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou:
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract). 12927-12928 - Arjun Choudhry, Inder Khatri, Minni Jain:
An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract). 12929-12930 - Anirudh Cowlagi, Pratik Chaudhari:
Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract). 12931-12932 - Aristidis Dernelakis, Jungin Kim, Kevin Velasquez, Lee Stearns:
Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract). 12933-12934 - Jason Xiaotian Dou, Lei Luo, Raymond Mingrui Yang:
An Optimal Transport Approach to Deep Metric Learning (Student Abstract). 12935-12936 - Yutao Dou, Wei Li, Albert Y. Zomaya:
Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract). 12937-12938 - Amil Dravid, Aggelos K. Katsaggelos:
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract). 12939-12940 - Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers:
Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract). 12941-12942 - Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren:
Reinforcement Learning Explainability via Model Transforms (Student Abstract). 12943-12944 - Conner Flansburg, Dimitrios I. Diochnos:
Wind Prediction under Random Data Corruption (Student Abstract). 12945-12946 - Ze Fu, Junhao Feng, Changmeng Zheng, Yi Cai:
Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract). 12947-12948 - Piotr Gainski, Lukasz Maziarka, Tomasz Danel, Stanislaw Jastrzebski:
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract). 12949-12950 - Bhanu Garg, Kijun Kim, Sudhanshu Ranjan:
From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract). 12951-12952 - Devin Garg, Tanuj Agarwal, Chiranjoy Chattopadhyay:
An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract). 12953-12954 - Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract). 12955-12956 - Vandan Gorade, Azad Singh, Deepak Mishra:
MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract). 12957-12958 - Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das:
Memotion Analysis through the Lens of Joint Embedding (Student Abstract). 12959-12960 - Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
Contrastive Personalization Approach to Suspect Identification (Student Abstract). 12961-12962 - Nicholas Halliwell, Fabien Gandon, Freddy Lécué:
A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract). 12963-12964 - Ruijiang Han, Wei Wang, Yuxi Long, Jiajie Peng:
Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract). 12965-12966 - Yuting He, Yiqiang Chen, Xiaodong Yang, Yingwei Zhang, Bixiao Zeng:
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract). 12967-12968 - Tianyuan Huang:
Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract). 12969-12970 - Xiuyu Huang, Nan Zhou, Kup-Sze Choi:
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract). 12971-12972 - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai:
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract). 12973-12974 - Suji Jang, Hyuk Lim:
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract). 12975-12976 - Tenzin Jinpa, Yong Gao:
Code Representation Learning Using Prüfer Sequences (Student Abstract). 12977-12978 - Benjamin Kelly:
Gerrymandering under Uncertain Preferences (Student Abstract). 12979-12980 - Woocheol Kim, Hyuk Lim:
FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract). 12981-12982 - Youngkyoung Kim, Misoo Kim, Eunseok Lee:
Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract). 12983-12984 - Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts:
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). 12985-12986 - Dusan Knop, Simon Schierreich, Ondrej Suchý:
Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract). 12987-12988 - Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas:
How to Reduce Action Space for Planning Domains? (Student Abstract). 12989-12990 - Alexander W. Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato:
A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract). 12991-12992 - Min Seok Lee, Wooseok Shin, Sung Won Han:
TRACER: Extreme Attention Guided Salient Object Tracing Network (Student Abstract). 12993-12994 - Chaya Levinger, Noam Hazon, Amos Azaria:
Social Aware Assignment of Passengers in Ridesharing (Student Abstract). 12995-12996 - Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He:
SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract). 12997-12998 - Menglin Li, Kwan Hui Lim:
Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract). 12999-13000 - Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
A Probabilistic Framework for Land Deformation Prediction (Student Abstract). 13001-13002 - Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang:
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract). 13003-13004 - Jie Liu, Lingyun Song, Li Gao, Xuequn Shang:
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract). 13005-13006 - Xuan Liu, Kokil Jaidka, Niyati Chayya:
The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract). 13007-13008 - Yiwei Lyu, Wenhao Luo, John M. Dolan:
Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract). 13009-13010 - Chang Ma, Song Zhang, Gehui Shen, Zhihong Deng:
Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract). 13011-13012 - Fan Meng, Handan Sun, Danya Xu, Pengfei Xie, Tao Song:
A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract). 13013-13014 - Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen:
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). 13015-13016 - Hannah Miller:
Enumerating Nontrivial Knot Mosaics with SAT (Student Abstract). 13017-13018 - Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski:
Actionable Model-Centric Explanations (Student Abstract). 13019-13020 - Vahid Naghashi, Abdoulaye Baniré Diallo:
A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract). 13021-13022 - Meir Nizri, Noam Hazon, Amos Azaria:
Explainable Shapley-Based Allocation (Student Abstract). 13023-13024 - Elizabeth Akinyi Ondula, Bhaskar Krishnamachari:
Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract). 13025-13026 - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract). 13027-13028 - Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun:
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). 13029-13030 - Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand:
CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract). 13031-13032 - Haopeng Ren, Yi Cai, Yushi Zeng:
Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract). 13033-13034 - Saed Rezayi, Handong Zhao, Sheng Li:
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). 13035-13036 - Noah Rubin, Curtis Bright, Brett Stevens, Kevin K. H. Cheung:
Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract). 13037-13038 - Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Harshit Shakya, Deebha Mumtaz:
Do We Need a New Large-Scale Quality Assessment Database for Generative Inpainting Based 3D View Synthesis? (Student Abstract). 13039-13040 - Ritul Satish, Niranjan Rajesh, Argha Chakrabarty, Aditi Jain, Sristi Bafna, Arup Mondal, Debayan Gupta:
NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract). 13041-13042 - Nayan Saxena, Robert Wu, Rohan Jain:
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract). 13043-13044 - Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H. Y. Lau, Peng Wu, Benjamin J. Cowling:
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract). 13045-13046 - Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin:
Prototype-Based Explanations for Graph Neural Networks (Student Abstract). 13047-13048 - Suzanna Sia, Kokil Jaidka, Niyati Chayya, Kevin Duh:
Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract). 13049-13050 - Himanshu Singh, Tirupati Pallewad, Badri N. Subudhi, Vinit Jakhetiya:
C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract). 13051-13052 - Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik:
On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). 13053-13054 - Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash:
Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). 13055-13056 - Yitzhak Spielberg, Amos Azaria:
Criticality-Based Advice in Reinforcement Learning (Student Abstract). 13057-13058 - Bharath Sudharsan:
Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract). 13059-13060 - Wenbo Sun:
Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract). 13061-13062 - Wenxin Tai:
A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract). 13063-13064 - Toki Takahashi, Ryota Higa, Katsuhide Fujita, Shinji Nakadai:
VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract). 13065-13066 - Bibek Upadhayay, Vahid Behzadan:
Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract). 13067-13068 - Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II:
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). 13069-13070 - Michael Vance:
Modeling Abstract Algebra as an OWL Ontology (Student Abstract). 13071-13072 - Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou:
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract). 13073-13074 - Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). 13075-13076 - Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang:
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract). 13077-13078 - Dawid Wisniewski, Jedrzej Potoniec, Agnieszka Lawrynowicz:
BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). 13079-13080 - Ka Ming Wong, Richard Tzong-Han Tsai:
Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract). 13081-13082 - Jun Wu, Minghao Yin:
A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract). 13083-13084 - Robert Wu, Nayan Saxena, Rohan Jain:
NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract). 13085-13086 - Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang:
Efficient Attribute (α, β)-Core Detection in Large Bipartite Graphs (Student Abstract). 13087-13088 - Yongqi Wu, Xingjun Wang, Chen Chen, Guining Liu:
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract). 13089-13090 - Xintao Xiang, Tiancheng Huang, Donglin Wang:
Learning to Evolve on Dynamic Graphs (Student Abstract). 13091-13092 - Sheng Xu, Xiaojun Wan:
Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract). 13093-13094 - Sunyue Xu, Jing Zhang:
Crowdsourcing with Meta-Knowledge Transfer (Student Abstract). 13095-13096 - Jie Yang, Chin-Teng Lin:
Multi-View Adjacency-Constrained Nearest Neighbor Clustering (Student Abstract). 13097-13098 - Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). 13099-13100 - Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou:
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract). 13101-13102 - Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou:
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract). 13103-13104 - Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai:
Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract). 13105-13106 - Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova:
Predicting the Influence of Fake and Real News Spreaders (Student Abstract). 13107-13108 - Jack Zhang, Guan Xiong Qiao, Alexandru Lopotenco, Ian Tong Pan:
Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract). 13109-13110 - Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). 13111-13112 - Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He:
A Multi-Factor Classification Framework for Completing Users' Fuzzy Queries (Student Abstract). 13113-13114 - Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen:
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). 13115-13116 - Xiangping Zheng, Xun Liang, Bo Wu:
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract). 13117-13118 - Zhuoming Zheng, Yi Cai, Liuwu Li:
Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract). 13119-13120
AAAI Undergraduate Consortium
- Natalie Abreu:
Efficient Deep Learning for Multi Agent Pathfinding. 13122-13123 - Vishakha Agrawal:
Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China. 13124-13125 - Kaleab Belay:
Gradient and Mangitude Based Pruning for Sparse Deep Neural Networks. 13126-13127 - Georgia Channing:
Spectral DefocusCam: Compressive Hyperspectral Imaging from Defocus Measurements. 13128-13129 - Hannah M. Claus:
The Importance of Hyperparameter Optimisation for Facial Recognition Applications. 13130-13131 - Breanne Crockett:
Measuring Students' Engagement with Digital Interactive Textbooks by Analyzing Clickstream Data. 13132-13133 - Amelia Lee Dogan:
Participatory Machine Learning Models in Feminicide News Alert Detection. 13134-13135 - Willa Potosnak:
Robust Rule Learning for Reliable and Interpretable Insight into Expertise Transfer Opportunities. 13136-13137 - Wes Robbins:
Towards Multimodal Vision-Language Models Generating Non-generic Text. 13138-13139 - Eshika Saxena:
Deep Learning for Personalized Preoperative Planning of Microsurgical Free Tissue Transfers. 13140-13141 - Abigail Swenor:
Using Random Perturbations to Mitigate Adversarial Attacks on NLP Models. 13142-13143 - Mira Welner:
Unsupervised Identification of Materials with Hyperspectral Images. 13144-13145 - Funing Yang:
An Extraction and Representation Pipeline for Literary Characters. 13146-13147
AAAI Demonstration Track
- Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, Tagyoung Chung:
Building Goal-Oriented Dialogue Systems with Situated Visual Context. 13149-13151 - Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. 13152-13154 - Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti, Arunima Chaudhary, Zhining Ding, Casey Dugan, David Gros, Thomas Gschwind, James M. Johnson, Jim Laredo, Christoph Miksovic, Qian Pan, Priyanshu Rai, Ramkumar Ramalingam, Paolo Scotton, Nagarjuna Surabathina, Kartik Talamadupula:
A Goal-Driven Natural Language Interface for Creating Application Integration Workflows. 13155-13157 - Daegeun Choe, Youngbak Jo, Shindong Kang, Shounan An, Insoo Oh:
UCSM-DNN: User and Card Style Modeling with Deep Neural Networks for Personalized Game AI. 13158-13160 - Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan, Carolina Spina:
AI Assisted Data Labeling with Interactive Auto Label. 13161-13163 - Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato, Chunyan Miao:
CrowdFL: A Marketplace for Crowdsourced Federated Learning. 13164-13166 - Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat:
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting. 13167-13169 - Maurício Gruppi, Sibel Adali, Pin-Yu Chen:
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment. 13170-13172 - Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Dynamic Incentive Mechanism Design for COVID-19 Social Distancing. 13173-13175 - Yoonseok Hong, Shounan An, Sunwoo Im, Jaegeon Jo, Insoo Oh:
MONICA2: Mobile Neural Voice Command Assistants towards Smaller and Smarter. 13176-13178 - Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin:
A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce. 13179-13181 - Yannis Katsis, Maeda F. Hanafi, Martín Santillán Cooper, Yunyao Li:
InteractEva: A Simulation-Based Evaluation Framework for Interactive AI Systems. 13182-13184 - Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu:
ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. 13185-13187 - Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim:
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. 13188-13190 - Andrea Loreggia, Simone Mosco, Alberto Zerbinati:
SenTag: A Web-Based Tool for Semantic Annotation of Textual Documents. 13191-13193 - Ning Lu, Zhen Yang, Jian Huang, Yaxi Wu, Hesong Wang:
Silence or Outbreak - a Real-Time Emergent Topic Identification System (RealTIS) for Social Media. 13194-13196 - Alan Ma:
SWWS: A Smart Wildlife Warning Sign System. 13197-13199 - Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao:
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion. 13200-13202 - Aaron Mininger, John E. Laird:
A Demonstration of Compositional, Hierarchical Interactive Task Learning. 13203-13205 - Nader Nader, Rafael Alexandrou, Iasonas Iasonos, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis:
Smart Out-of-Home Advertising Using Artificial Intelligence and GIS Data. 13206-13208 - Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam:
AnomalyKiTS: Anomaly Detection Toolkit for Time Series. 13209-13211 - Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv:
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. 13212-13214 - Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang:
FORCE: A Framework of Rule-Based Conversational Recommender System. 13215-13217 - Sarah Michele Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Cinzia Squicciarini, Anthony Kwasnica, David M. Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Manoj Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles:
A Synthetic Prediction Market for Estimating Confidence in Published Work. 13218-13220 - Bidipta Sarkar, Aditi Talati, Andy Shih, Dorsa Sadigh:
PantheonRL: A MARL Library for Dynamic Training Interactions. 13221-13223 - Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini:
Semantic Feature Discovery with Code Mining and Semantic Type Detection. 13224-13226 - Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury:
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. 13227-13229 - Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee:
RES: An Interpretable Replicability Estimation System for Research Publications. 13230-13232 - Sheng Xu, Xiaojun Wan:
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models. 13233-13235 - Qingsong Zhou, Kele Xu, Ming Feng:
EasySED: Trusted Sound Event Detection with Self-Distillation. 13236-13238
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