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ORCIDCoRR, January 2024
- E. E. Vityaev:
Informational non-reductionist theory of consciousness that providing maximum accuracy of reality prediction. - Evgenii Vityaev:
Consciousness as a logically consistent and prognostic model of reality. - Shaopeng Zhai, Jie Wang, Tianyi Zhang, Fuxian Huang, Qi Zhang, Ming Zhou, Jing Hou, Yu Liu:
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation. - Hideyoshi Yanagisawa, Shimon Honda:
Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations. - Bernardo Gonçalves:
Turing's Test, a Beautiful Thought Experiment. - Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. - Mateusz Wilinski, Andrey Y. Lokhov:
Learning of networked spreading models from noisy and incomplete data. - Zixuan Chen, Subhodeep Mitra, R. Ravi, Wolfgang Gatterbauer:
HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property. - Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder:
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism. - Zhuoyang Ye:
QAOA on Hamiltonian Cycle problem. - Zijie Yang, Yongjing Yin, Chaojun Kong, Tiange Chi, Wufan Tao, Yue Zhang, Tian Xu:
AI-driven platform for systematic nomenclature and intelligent knowledge acquisition of natural medicinal materials. - Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi:
Conceptual Mutation Testing for Student Programming Misconceptions. - Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. - Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu:
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring. - Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. - Li Xu, Haoxuan Qu, Yujun Cai
, Jun Liu:
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation. - Xiaoqian Liu, Jianbin Jiao, Junge Zhang:
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges. - Maja Rudolph, Stefan Kurz, Barbara Rakitsch:
Hybrid Modeling Design Patterns. - Lei Yang:
Discrete Distribution Networks. - Kevin Shukang Wang, Jason Ramos, Ramon Lawrence:
ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience in Higher Education. - Elliot Creager, Richard S. Zemel:
Online Algorithmic Recourse by Collective Action. - Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias:
Generalization properties of contrastive world models. - Alex Zarifis, Richard Ingham, Julia Kroenung:
Exploring the language of the sharing economy: Building trust and reducing privacy concern on Airbnb in German and English. - Mena Rizk, Daniela Rosu, Mark S. Fox:
Semantic Computing for Organizational Effectiveness: From Organization Theory to Practice through Semantics-Based Modelling. - Hong Xu, Alan Morris, Shireen Y. Elhabian:
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest. - Bruce D. Lee, Anders Rantzer, Nikolai Matni:
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification. - David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, Modesto Castrillón Santana:
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point. - Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. - Jian He, Asma Khedher, Peter Spreij:
A dimension reduction approach for loss valuation in credit risk modelling. - Si Zhang, Philip W. L. Fong:
Quantifying Policy Administration Cost in an Active Learning Framework. - Germán Vidal:
An Asynchronous Scheme for Rollback Recovery in Message-Passing Concurrent Programming Languages. - Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao:
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. - Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. - Felipe Akio Matsuoka:
Automatic Essay Scoring in a Brazilian Scenario. - Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. - Xinye Chen:
Joint symbolic aggregate approximation of time series. - Shanchuan Lin, Xiao Yang:
Diffusion Model with Perceptual Loss. - Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas:
Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience. - Yuqi Liu, Xinyu Shan, Meiyue Shao:
A Contour Integral-Based Algorithm for Computing Generalized Singular Values. - S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker:
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. - Ashhadul Islam, Md. Rafiul Biswas, Wajdi Zaghouani, Samir Brahim Belhaouari, Zubair Shah:
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models. - Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li:
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Wenhao Ma, Yu-Cheng Chang, Jie Yang, Yu-Kai Wang, Chin-Teng Lin:
Contrastive learning-based agent modeling for deep reinforcement learning. - Tao He, Xue Li, Zhibin Wang, Kun Qian, Jingbo Xu, Wenyuan Yu, Jingren Zhou:
Unicron: Economizing Self-Healing LLM Training at Scale. - Qiannan Wang, Changchun Yin, Liming Fang, Lu Zhou, Zhe Liu, Run Wang, Chenhao Lin:
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection. - Hengrui Cai, Shengjie Liu, Rui Song:
Is Knowledge All Large Language Models Needed for Causal Reasoning? - Song Guo, Minzhao Lyu, Hassan Habibi Gharakheili:
Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors. - Behrooz Mirafzal, Fariba Fateh:
Synced Parallel Control Paths for Multi-Task System Operation. - Wenjun Zhu, Xiaoyu Ji, Yushi Cheng, Shibo Zhang, Wenyuan Xu:
TPatch: A Triggered Physical Adversarial Patch. - Wenjun Zhu, Yuan Sun, Jiani Liu, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu:
CamPro: Camera-based Anti-Facial Recognition. - Biswajit Maitya, Abdul Alima, Popuri Sree Rama Charana, Amlan Chakrabarti, Subrata Nandia, Sanghita Bhattacharjeea:
AClassiHonk: A System Framework to Annotate and Classify Vehicular Honk from Road Traffic. - Linhao Xu, Lin Zhao, Xinxin Sun, Di Wang, Guangyu Li, Kedong Yan:
A comprehensive framework for occluded human pose estimation. - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. - Deepak Akhare, Tengfei Luo, Jian-Xun Wang:
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. - Guojian Wang, Faguo Wu, Xiao Zhang, Tianyuan Chen:
Policy Optimization with Smooth Guidance Rewards Learned from Sparse-Reward Demonstrations. - Xiaogang Xing, Ming Xu, Yujing Bai, Dongdong Yang:
A clean-label graph backdoor attack method in node classification task. - Harald Ruess:
Causal Stream Inclusions. - Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen:
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization. - Junwen Yang, Ang Li, Xuewen Liao, Christos Masouros, A. Lee Swindlehurst:
Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality. - Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu:
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. - Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang:
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. - Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi:
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models. - Fabio V. Difonzo, Sabrina Francesca Pellegrino:
Convergence Analysis of a Spectral Numerical Method for a Peridynamic Formulation of Richards' Equation. - Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums. - Mohammad Ibrahim Qani:
Principle Interference in Technical and Scientific Translation. - Vaibhav Vaishnav, Anoop Jain, Dushyant Sharma:
Auxiliary Network-Enabled Attack Detection and Resilient Control of Islanded AC Microgrid. - Anish Lakkapragada:
A Novel Explanation Against Linear Neural Networks. - Abuzar B. M. Adam, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna, Xingwang Li, Mohammed A. M. Elhassan, Ammar Muthanna:
Real-Time and Security-Aware Precoding in RIS-Empowered Multi-User Wireless Networks. - Saikat Barua, Sifat Momen:
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI. - Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh:
On the Identifiability from Modulo Measurements under DFT Sensing Matrix. - Romy Müller, Maria Pohl:
Information acquisition in Adapt/Exchange decisions: When do people check alternative solution principles? - Matteo Cordioli, Laura Delfino, Alessia Romani, Elisa Mortini, Pier Luca Lanzi:
A Gamified Framework to Assist Therapists with the ABA Therapy for Autism. - Lex Zard:
Consumer Manipulation via Online Behavioral Advertising. - Weizhu Bao, Yifei Li:
A unified structure-preserving parametric finite element method for anisotropic surface diffusion. - Han Jiang, Haosen Sun, Ruoxuan Li, Chi-Keung Tang, Yu-Wing Tai:
Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models. - Geoff Luck:
AI and Tempo Estimation: A Review. - Tsvetelina Hristova, Liam Magee, Karen Soldatic:
The Problem of Alignment. - Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-TI: Open Traffic Intelligence with Augmented Language Model. - Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. - Yogi A. Erlangga:
Parallel-in-time Multilevel Krylov Methods: A Prototype. - Jingjing Xu, Caesar Wu, Yuan-Fang Li, Pascal Bouvry:
Transformer Multivariate Forecasting: Less is More? - Yao Sun, Pan Wang:
Simultaneously determine elastic impedance and shape by a Newton-type iterative method. - Md. Fazle Rabbi, Solayman Hossain Emon, Ehtesham Mahmud Nishat, Tzu-Liang Tseng, Atira Ferdoushi, Chun-Che Huang, Md Fashiar Rahman:
A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning. - Ana-Isabel Duron-Tejedor, Pascal Amsili, Thierry Poibeau:
How to Evaluate Coreference in Literary Texts? - Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang:
Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features. - Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. - Hongkun Hao, Long Zhou, Shujie Liu, Jinyu Li, Shujie Hu, Rui Wang, Furu Wei:
Boosting Large Language Model for Speech Synthesis: An Empirical Study. - Karim Kadry, Shreya Gupta, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins. - Xianjie Liu, Keren Fu, Qijun Zhao:
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation. - Taekyung Kim, Dongyoon Han, Byeongho Heo:
Masked Image Modeling via Dynamic Token Morphing. - Bertrand Teguia Tabuguia:
Hypergeometric-Type Sequences. - Jun Wang, Hao Ruan, Mingjie Wang, Chuanghui Zhang, Huachun Li, Jun Zhou:
GazeCLIP: Towards Enhancing Gaze Estimation via Text Guidance. - Lianyu Hu, Liqing Gao, Zekang Liu, Chi-Man Pun, Wei Feng:
COMMA: Co-Articulated Multi-Modal Learning. - Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang:
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. - Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. - Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler:
Second-Order Uncertainty Quantification: Variance-Based Measures. - Reza Fayyazi, Rozhina Taghdimi, Shanchieh Jay Yang:
Advancing TTP Analysis: Harnessing the Power of Encoder-Only and Decoder-Only Language Models with Retrieval Augmented Generation. - Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. - Hongshan Liu, Tong Qin, Zhen Gao, Keke Ying, Ziwei Wan, Jingjing Zhao, Rui Na, Zhongxiang Li, Gaojie Chen, Chun Hu, Ruiqi Liu, Yikun Mei, Tuan Li, Tianqi Mao, Shuo Wang, Dezhi Zheng:
Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle. - Maximilian Weber, Merle Reichardt:
Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models. - Zeyang Zhang, Hui Li, Tianyang Xu, Xiaojun Wu, Josef Kittler:
BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features. - Siva Raja Sindiramutty:
Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence. - Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. - Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Md. Shahinur Alam, Jason Lamberton, Jianye Wang, Carly Leannah, Sarah Miller, Joseph Palagano, Myles de Bastion, Heather L. Smith, Melissa Malzkuhn, Lorna C. Quandt:
ASL Champ!: A Virtual Reality Game with Deep-Learning Driven Sign Recognition. - Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang:
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. - Seyed Hassan Yajadda, Farshad Safaei:
A Novel Reinforcement Learning Routing Algorithm for Congestion Control in Complex Networks. - Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. - Daniel P. Huttenlocher, Hannah Li, Liang Lyu, Asuman E. Ozdaglar, James Siderius:
Matching of Users and Creators in Two-Sided Markets with Departures. - Yifan Su, Rishi Veerapaneni, Jiaoyang Li:
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution. - Anna Revazova, Igor Korkin:
RASP for LSASS: Preventing Mimikatz-Related Attacks. - Elnatan Kadar, Guy Gilboa:
DXAI: Explaining Classification by Image Decomposition. - Natchanon Luangsomboon, Fahimeh Fazel, Jörg Liebeherr, Ashkan Sobhani, Shichao Guan, Xingjun Chu:
On the Burstiness of Distributed Machine Learning Traffic. - Yinglun Xu, Gagandeep Singh:
Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback. - Maxime Krier, Julia Orlik, Grigory Panasenko, Konrad Steiner:
Asymptotically proved numerical coupling of a 2D flexural porous plate with the 3D Stokes fluid. - Sebastian-Vasile Echim, Iulian-Marius Taiatu, Dumitru-Clementin Cercel, Florin Pop:
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation. - Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman:
Benchmarking Hebbian learning rules for associative memory. - Anmol Srivastava:
A Rapid Scoping Review and Conceptual Analysis of the Educational Metaverse in the Global South: Socio-Technical Perspectives. - Shreelekha Revankar, Shijia Liao, Yu Shen, Junbang Liang, Huaishu Peng, Ming C. Lin:
SHARE: Single-view Human Adversarial REconstruction. - Abhinav Arun, Mehul Soni, Palash Choudhary, Saksham Arora:
EXPLORE - Explainable Song Recommendation. - Iyadunni J. Adenuga, Benjamin V. Hanrahan:
Understanding Driver Agency in RideSharing. - Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri:
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise. - Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. - Magdalena Wolska, Bernd Fröhlich, Katrin Girgensohn, Sassan Gholiagha, Dora Kiesel, Jürgen Neyer, Patrick Riehmann, Mitja Sienknecht, Benno Stein:
Argumentation in Waltz's "Emerging Structure of International Politics". - Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei:
Improving Text Embeddings with Large Language Models. - Mario De Florio, Adar Kahana, George Em Karniadakis:
Analysis of biologically plausible neuron models for regression with spiking neural networks. - Hwayoon Lee, Kyoungkook Kang, Hyeongmin Lee, Seung-Hwan Baek, Sunghyun Cho:
UGPNet: Universal Generative Prior for Image Restoration. - Liang Wang, Dawei Dai, Shiyu Fu, Guoyin Wang:
Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval. - Haiyang Liu, Zihao Zhu, Giorgio Becherini, Yichen Peng, Mingyang Su, You Zhou, Naoya Iwamoto, Bo Zheng, Michael J. Black:
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Masked Audio Gesture Modeling. - Liyuan Tan, Yang Yang, Li Fang, David J. Cappelleri:
Shape-programmable Adaptive Multi-material Microrobots for Biomedical Applications. - Xiaoyu Zhang, Juan Zhai, Shiqing Ma, Chao Shen:
DREAM: Debugging and Repairing AutoML Pipelines. - Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis:
Predicting Evoked Emotions in Conversations. - Lei Dai, Xiaojie Wang:
Order-one strong convergence of numerical methods for SDEs without globally monotone coefficients. - Shreyas Verma, Manoj Parmar, Palash Choudhary, Sanchita Porwal:
FusionMind - Improving question and answering with external context fusion. - Paul K. Mandal, Cole Leo, Connor Hurley:
Horizontal Federated Computer Vision. - Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker:
Controllable Safety-Critical Closed-loop Traffic Simulation via Guided Diffusion. - Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain, Fedwa Laamarti, M. Shamim Hossain, Abdulmotaleb El-Saddik:
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection. - Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Cheng Niu, Randy Zhong, Juntong Song, Tong Zhang:
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models. - Yuefeng Xu, Rui Zhong, Chao Zhang, Jun Yu:
Multiplayer Battle Game-Inspired Optimizer for Complex Optimization Problems. - Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo:
Client-wise Modality Selection for Balanced Multi-modal Federated Learning. - Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang:
Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects. - Esther Enhui Ye, John Enzhou Ye, Joseph Ye, Jacob Ye, Runzhou Ye:
Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks Generated through Deep Learning. - Hoon Hong, Jing Yang:
Computing greatest common divisor of several parametric univariate polynomials via generalized subresultant polynomials. - Ruoqi Yin, Jianqin Yin:
A Two-stream Hybrid CNN-Transformer Network for Skeleton-based Human Interaction Recognition. - Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang:
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training. - Xiaoxuan Han, Songlin Yang, Wei Wang, Ziwen He, Jing Dong:
Is It Possible to Backdoor Face Forgery Detection with Natural Triggers? - Licai Sun, Zheng Lian, Kexin Wang, Yu He, Mingyu Xu, Haiyang Sun, Bin Liu, Jianhua Tao:
SVFAP: Self-supervised Video Facial Affect Perceiver. - Pierre Bergé, Mari Chaikovskaia, Jean-Philippe Gayon, Alain Quilliot:
Approximation algorithms for Job Scheduling with reconfigurable resources. - Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. - Xingyuan Li, Yang Zou, Jinyuan Liu, Zhiying Jiang, Long Ma, Xin Fan, Risheng Liu:
From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion. - Dehua Peng, Zhipeng Gui, Huayi Wu:
Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect. - Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. - Shijue Huang, Libo Qin, Bingbing Wang, Geng Tu, Ruifeng Xu:
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection. - Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An:
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. - Aijia Liu, Shiqing Liu, Xiaobing Pei:
Deeper and Wider Networks for Performance Metrics Prediction in Communication Networks. - Weijian Mai, Jian Zhang, Pengfei Fang, Zhijun Zhang:
Brain-Conditional Multimodal Synthesis: A Survey and Taxonomy. - Tiange Xiang, Adam Sun, Scott L. Delp, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Wild2Avatar: Rendering Humans Behind Occlusions. - Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou:
GeoGalactica: A Scientific Large Language Model in Geoscience. - Hanbo Cheng, Chenyu Liu, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du:
Bidirectional Trained Tree-Structured Decoder for Handwritten Mathematical Expression Recognition. - Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang:
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration. - Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Kan Li:
BatchEval: Towards Human-like Text Evaluation. - Or Berman, Adam Goldbraikh, Shlomi Laufer:
SFGANS Self-supervised Future Generator for human ActioN Segmentation. - Moien Rangzan, Sara Attarchi, Richard Gloaguen, Seyed Kazem Alavipanah:
TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting. - Jian Xu, Dewei Han, Kang Li, Jun-Jie Li, Zhao-Yuan Ma:
A Comprehensive Overview of Fish-Eye Camera Distortion Correction Methods. - David López-Pérez, Antonio De Domenico, Nicola Piovesan, Mérouane Debbah:
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach. - Chenxi Zhao, Min Sheng, Junyu Liu, Tianshu Chu, Jiandong Li:
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach. - Abdelhamid Salem, Kai-Kit Wong, Chan-Byoung Chae, Yangyang Zhang:
User Clustering for STAR-RIS Assisted Full-Duplex NOMA Communication Systems. - Nikhil Sardana, Jonathan Frankle:
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws. - Parthasarathy P. D, Swaroop Joshi:
Teaching Digital Accessibility to Industry Professionals using the Community of Practice Framework: An Experience Report. - Parthasarathy P. D, Swaroop Joshi:
Exploring the Need of Accessibility Education in the Software Industry: Insights from a Survey of Software Professionals in India. - Ziyi Guan, Yunqi Huang, Penghui Yao, Zekun Ye:
Quantum and Classical Communication Complexity of Permutation-Invariant Functions. - Hao Liu, Jun Liu, Raymond H. Chan, Xue-Cheng Tai:
Double-well Net for Image Segmentation. - Hyeonjae Jeon, Junghyun Seo, Taesoo Kim, Sungho Son, Jungki Lee, Gyeungho Choi, Yongseob Lim:
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution. - Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan, Vahan Huroyan, Hrant Khachatrian, Martin Danelljan:
Analyzing Local Representations of Self-supervised Vision Transformers. - Evangelos Bazinas, Andreas Gregoriades, Marios Raspopoulos, Michael Georgiades:
V2X communication coverage analysis for connected vehicles in intelligent transportation networks: A case study for the city of Xanthi, Greece. - Silvan David Peter:
Online Symbolic Music Alignment with Offline Reinforcement Learning. - Samira Kamali Poorazad, Chafika Benzaid, Tarik Taleb:
Blockchain and Deep Learning-Based IDS for Securing SDN-Enabled Industrial IoT Environments. - Silvan David Peter, Carlos Eduardo Cancino Chacón, Emmanouil Karystinaios, Gerhard Widmer:
Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance. - Korbinian Schreiber, Timo Wunderlich, Philipp Spilger, Sebastian Billaudelle, Benjamin Cramer, Yannik Stradmann, Christian Pehle, Eric Müller, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Emulating insect brains for neuromorphic navigation. - Shuichi Hirahara, Naoto Ohsaka:
Probabilistically Checkable Reconfiguration Proofs and Inapproximability of Reconfiguration Problems. - Hongfei Xue, Yuhao Liang, Bingshen Mu, Shiliang Zhang, Mengzhe Chen, Qian Chen, Lei Xie:
E-chat: Emotion-sensitive Spoken Dialogue System with Large Language Models. - Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton:
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. - Alejandro Moreo, Pablo González, Juan José del Coz:
Kernel Density Estimation for Multiclass Quantification. - Lorenzo Pareschi, Mattia Zanella:
Reduced variance random batch methods for nonlocal PDEs. - Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbeláez, Omid Mohareri, Danail Stoyanov:
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. - Dipankar Sarkar:
Viz: A QLoRA-based Copyright Marketplace for Legally Compliant Generative AI. - Ran Chen, Xueqi Yao, Xuhui Jiang, Zhengqi Han, Jingze Guo, Xianyue Zhang, Chunyu Lin, Chumin Liu, Jing Zhao, Zeke Lian, Jingjing Zhang, Keke Li:
HSC-GPT: A Large Language Model for Human Settlements Construction. - Hugo Herbelin, Ramkumar Ramachandra:
A parametricity-based formalization of semi-simplicial and semi-cubical sets. - Jinchang Hu, Lyuye Zhang, Chengwei Liu, Sen Yang, Song Huang, Yang Liu:
Empirical Analysis of Vulnerabilities Life Cycle in Golang Ecosystem. - Yuxiao Hu, Qian Li, Xiaodan Shi, Jinyue Yan, Yuntian Chen:
Multi-spatial Multi-temporal Air Quality Forecasting with Integrated Monitoring and Reanalysis Data. - Sayantan Auddy, Sebastian Bergner, Justus H. Piater:
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration. - Faisal N. Abu-Khzam, Ghinwa Bou Matar, Sergio Thoumi:
Pack and Measure: An Effective Approach for Influence Propagation in Social Networks. - Qifang Zhao, Weidong Ren, Tianyu Li, Xiaoxiao Xu, Hong Liu:
GraphGPT: Graph Learning with Generative Pre-trained Transformers. - Massinissa Hamidi, Aomar Osmani:
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes. - Erna Begovic Kovac, Vjeran Hari:
Convergence of the complex block Jacobi methods under the generalized serial pivot strategies. - Shun Liu, Kexin Wu, Chufeng Jiang, Bin Huang, Danqing Ma:
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach. - Alex-Razvan Ispas, Théo Deschamps-Berger, Laurence Devillers:
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions. - Vansh Sharma, Venkat Raman:
A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models. - Run Shao, Cheng Yang, Qiujun Li, Qing Zhu, Yongjun Zhang, Yansheng Li, Yu Liu, Yong Tang, Dapeng Liu, Shizhong Yang, Jiayi Ma, Haifeng Li:
AllSpark: a multimodal spatiotemporal general model. - (Withdrawn) On Learning for Ambiguous Chance Constrained Problems.
- Yue Han, Jiangning Zhang, Junwei Zhu, Xiangtai Li, Yanhao Ge, Wei Li, Chengjie Wang, Yong Liu, Xiaoming Liu, Ying Tai:
A Generalist FaceX via Learning Unified Facial Representation. - Roy H. Goodman, Grace Conte, Jeremy Louis Marzuola:
QGLAB: A MATLAB Package for Computations on Quantum Graphs. - Chenyuan Yang, Zijie Zhao, Lingming Zhang:
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models. - Payam Karisani:
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets. - Agostino Capponi, Mihailo Stojnic:
Exact Error in Matrix Completion: Approximately Low-Rank Structures and Missing Blocks. - Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton:
Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing. - Yash Bingi, Yiqiao Yin:
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networks. - Rachel Redberg, Antti Koskela, Yu-Xiang Wang:
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners. - Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Fairness in Serving Large Language Models. - Boumediene Hamzi, Kamaludin Dingle:
Simplicity bias, algorithmic probability, and the random logistic map. - Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky:
State of What Art? A Call for Multi-Prompt LLM Evaluation. - Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. - Fei Chen, Hoa Van Nguyen, Alex S. Leong, Sabita Panicker, Robin Baker, Damith C. Ranasinghe:
Distributed Multi-Object Tracking Under Limited Field of View Heterogeneous Sensors with Density Clustering. - Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. - Richard F. E. Sutcliffe:
A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots. - Daniel T. Fokum, Zaria Chen Shui, Kerene Wright, Orr Paradise, Gunjan Mansingh, Daniel Coore:
A High School Camp on Algorithms and Coding in Jamaica. - Xiao Pan, Zongxin Yang, Shuai Bai, Yi Yang:
GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields. - Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua:
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation. - Zhiyuan Wu, Tianliu He, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Xuefeng Jiang:
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation. - Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. - Honghao Wei, Xiyue Peng, Xin Liu, Arnob Ghosh:
Adversarially Trained Actor Critic for offline CMDPs. - Alireza Maleki, Hamed Shah-Mansouri, Babak H. Khalaj:
Coordinated Deep Neural Networks: A Versatile Edge Offloading Algorithm. - Zixu Zhang, Guangsheng Yu, Caijun Sun, Xu Wang, Ying Wang, Ming Zhang, Wei Ni, Ren Ping Liu, Andrew Reeves, Nektarios Georgalas:
TBDD: A New Trust-based, DRL-driven Framework for Blockchain Sharding in IoT. - Razieh Rezaei, Alireza Dizaji, Ashkan Khakzar, Anees Kazi, Nassir Navab, Daniel Rueckert:
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions. - Yanwei Han, Zijian Zhang:
Nonlinear vibration of a dipteran flight robot system with rotational geometric nonlinearity. - Sourav Kumar, Chiang-Heng Chien, Benjamin B. Kimia:
Geometry Depth Consistency in RGBD Relative Pose Estimation. - Hyunwoo Yoo, Bahrad A. Sokhansanj, James R. Brown, Gail Rosen:
Predicting Anti-microbial Resistance using Large Language Models. - Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. - Ye Liu, Chengxuan Zhang, Yi Li:
Automated Invariant Generation for Solidity Smart Contracts. - Meng Qin, Dit-Yan Yeung:
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. - Xueying Mao, Xiaoxiao Hu, Wanli Peng, Zhenliang Gan, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang:
From Covert Hiding to Visual Editing: Robust Generative Video Steganography. - Xuntao Liu, Yuzhou Yang, Qichao Ying, Zhenxing Qian, Xinpeng Zhang, Sheng Li:
PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning. - Haibo Li, Jinchao Feng, Fei Lu:
Scalable iterative data-adaptive RKHS regularization. - Yulin Shao, Chenghong Bian, Li Yang, Qianqian Yang, Zhaoyang Zhang, Deniz Gündüz:
Point Cloud in the Air. - Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Reza Arablouei, Volkan Dedeoglu:
Advanced Dataset Discovery: When Multi-Query-Dataset Cardinality Estimation Matters. - Sangjun Bae, Balázs Kulcsár, Sebastien Gros:
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach. - Huimeng Wang, Zengrui Jin, Mengzhe Geng, Shujie Hu, Guinan Li, Tianzi Wang, Haoning Xu, Xunying Liu:
Enhancing Pre-trained ASR System Fine-tuning for Dysarthric Speech Recognition using Adversarial Data Augmentation. - Zhuoyan Luo, Yicheng Xiao, Yong Liu, Yitong Wang, Yansong Tang, Xiu Li, Yujiu Yang:
1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation. - Sebastián Espinel-Ríos, José L. Avalos:
Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis. - Yu-Fang Liang, Hou-Biao Li:
Orthogonal Blocking Kaczmarz Algorithm Based on Preprocessing Technology. - Haodong Li, Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, Yang Liu, Guoai Xu, Guosheng Xu, Haoyu Wang:
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training. - Samuel Schmidgall, Ji Woong Kim, Alan Kuntz, Ahmed Ezzat Ghazi, Axel Krieger:
General-purpose foundation models for increased autonomy in robot-assisted surgery. - Naren Debnath, Sajal Mukhopadhyay, Fatos Xhafa:
Mitigating Procrastination in Crowdsourcing Via Efficient Scheduling Algorithm. - Liying Tian, Xiaoshi Song, Zilong Liu, Yubo Li:
Asymptotically Optimal Sequence Sets With Low/Zero Ambiguity Zone Properties. - Mohamed Elmahallawy, Tie Luo, Khaled Ramadan:
Communication-Efficient Federated Learning for LEO Constellations Integrated with HAPs Using Hybrid NOMA-OFDM. - Kazuki Nakajima, Takeaki Uno:
Inferring community structure in attributed hypergraphs using stochastic block models. - Mahek Vora, Tom Blau, Vansh Kachhwal, Ashu M. G. Solo, Rohitash Chandra:
Large language model for Bible sentiment analysis: Sermon on the Mount. - Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao:
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions. - Jingyu Zhuang, Kuo Wang, Liang Lin, Guanbin Li:
Credible Teacher for Semi-Supervised Object Detection in Open Scene. - Kiran Voderhobli Holla, Chaithanya Kumar, Aryan Singh:
Large Language Models aren't all that you need. - Hongjun Zhang:
An attempt to generate new bridge types from latent space of generative adversarial network. - Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li:
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning. - Yisi Luo, Xile Zhao, Deyu Meng:
Revisiting Nonlocal Self-Similarity from Continuous Representation. - Xiaojun Dong, Laxman Dhulipala, Yan Gu, Yihan Sun:
Parallel Integer Sort: Theory and Practice. - Chaoqun Gong, Yuqin Dai, Ronghui Li, Achun Bao, Jun Li, Jian Yang, Yachao Zhang, Xiu Li:
Text2Avatar: Text to 3D Human Avatar Generation with Codebook-Driven Body Controllable Attribute. - Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang:
A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Sohail Sarang, Goran M. Stojanovic, Micheal Drieberg, Varun Jeoti, Mikko Valkama:
HENO-MAC: Hybrid Energy Harvesting-based Energy Neutral Operation MAC Protocol for Delay-Sensitive IoT Applications. - Ruizhuo Xu, Ke Wang, Chao Deng, Mei Wang, Xi Chen, Wenhui Huang, Junlan Feng, Weihong Deng:
Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition. - Libin Lan, Pengzhou Cai, Lu Jiang, Xiaojuan Liu, Yongmei Li, Yudong Zhang:
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation. - Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Shunli Zhang, Robby T. Tan:
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction. - Andreas Kirsch, Ruming Zhang:
The PML-Method for a Scattering Problem for a Local Perturbation of an Open Periodic Waveguide. - Brian B. Moser, Arundhati S. Shanbhag, Federico Raue, Stanislav Frolov, Sebastian Palacio, Andreas Dengel:
Diffusion Models, Image Super-Resolution And Everything: A Survey. - Dayananda Ubrangala, Juhi Sharma, Sharath Kumar Rangappa, Kiran Rama, Ravi Prasad Kondapalli, Laurent Boué:
Searching, fast and slow, through product catalogs. - Shounak Chatterjee:
DiffMorph: Text-less Image Morphing with Diffusion Models. - Junjie Ye, Guanyu Li, Songyang Gao, Caishuang Huang, Yilong Wu, Sixian Li, Xiaoran Fan, Shihan Dou, Qi Zhang, Tao Gui, Xuanjing Huang:
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios. - Hongbo Sun, Chongkun Xia, Bo Yuan, Xueqian Wang, Bin Liang:
Polynomial-time Approximation Scheme for Equilibriums of Games. - Quanjun Zhang, Juan Zhai, Chunrong Fang, Jiawei Liu, Weisong Sun, Haichuan Hu, Qingyu Wang:
Machine Translation Testing via Syntactic Tree Pruning. - Juan Carlos García-Ardila, Francisco Marcellán:
A note on Laguerre truncated polynomials and quadrature formula. - Wenjie Pei, Weina Xu, Zongze Wu, Weichao Li, Jinfan Wang, Guangming Lu, Xiangrong Wang:
Saliency-Aware Regularized Graph Neural Network. - Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau:
MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. - Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. - Wenxuan Wang, Juluan Shi, Zhaopeng Tu, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, Michael R. Lyu:
The Earth is Flat? Unveiling Factual Errors in Large Language Models. - Sebastian Falkensteiner, Alexey Ovchinnikov, J. Rafael Sendra:
Algorithm for globally identifiable reparametrizions of ODEs. - Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu:
New Job, New Gender? Measuring the Social Bias in Image Generation Models. - Aadhitya A:
HexE - Securing Audio Contents in Voice Chat using Puzzle and Timestamp. - Zhilu Zhang, Shuohao Zhang, Renlong Wu, Zifei Yan, Wangmeng Zuo:
Bracketing is All You Need: Unifying Image Restoration and Enhancement Tasks with Multi-Exposure Images. - Peter Sovietov:
Algorithms for Improving the Automatically Synthesized Instruction Set of an Extensible Processor. - Dongwook Kim, Juyeon Park, Hee Cheol Chung, Seonghyun Jeong:
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures. - Qin Yang:
Edge Computing based Human-Robot Cognitive Fusion: A Medical Case Study in the Autism Spectrum Disorder Therapy. - Lei-Hong Zhang, Shanheng Han:
Convergence analysis of Lawson's iteration for the polynomial and rational minimax approximations. - Georg Wenzel, Adam Jatowt:
Temporal Validity Change Prediction. - Shuang Li, Ziyuan Pu, Zhiyong Cui, Seunghyeon Lee, Xiucheng Guo, Dong Ngoduy:
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. - Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, Leandro von Werra, Harm de Vries, Qian Liu, Niklas Muennighoff:
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. - Jilan Xu, Yifei Huang, Junlin Hou, Guo Chen, Yuejie Zhang, Rui Feng, Weidi Xie:
Retrieval-Augmented Egocentric Video Captioning. - Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu:
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. - D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj, Edwin Raja S.:
Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration. - Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. - Zhenyu Gao, Yue Yu, Qinshuang Wei, Ufuk Topcu, John-Paul Clarke:
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach. - Iyer Venkataraman Natarajan:
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL. - Keyvan Mahmoudi, Heshaam Faili:
PerSHOP - A Persian dataset for shopping dialogue systems modeling. - Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai:
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. - Emmanuel Kojo Gyamfi, Zag ElSayed, Jess Kropczynski, Mustapha Awinsongya Yakubu, Nelly Elsayed:
Agricultural 4.0 Leveraging on Technological Solutions: Study for Smart Farming Sector. - AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic:
GLIMPSE: Generalized Local Imaging with MLPs. - Ozlem Yildiz, Ahmad AlAmmouri, Jianhua Mo, Younghan Nam, Elza Erkip, Jianzhong Zhang:
3D Beamforming Through Joint Phase-Time Arrays. - Yu Ying Chiu, Ashish Sharma, Inna Wanyin Lin, Tim Althoff:
A Computational Framework for Behavioral Assessment of LLM Therapists. - Tom Lippincott:
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade. - Byeonghyeon Lee, Howoong Lee, Usman Ali, Eunbyung Park:
Sharp-NeRF: Grid-based Fast Deblurring Neural Radiance Fields Using Sharpness Prior. - Bálint Máté, François Fleuret:
Multi-Lattice Sampling of Quantum Field Theories via Neural Operator-based Flows. - Shian Wang:
Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving. - Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel:
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education. - Navid Eslami, Farnoosh Arefi, Amir M. Mansourian, Shohreh Kasaei:
Rethinking RAFT for Efficient Optical Flow. - Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park:
Deblurring 3D Gaussian Splatting. - Jiye Lee, Hanbyul Joo:
Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera. - Alex Jinpeng Wang, Linjie Li, Kevin Qinghong Lin, Jianfeng Wang, Kevin Lin, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou:
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training. - Xinglong Sun, Adam W. Harley, Leonidas J. Guibas:
Refining Pre-Trained Motion Models. - Victor de A. Xavier, Felipe M. G. França, Priscila M. V. Lima:
Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence. - Weizheng Lu, Kaisheng He, Xuye Qin, Chengjie Li, Zhong Wang, Tao Yuan, Feng Zhang, Yueguo Chen, Xiaoyong Du:
Xorbits: Automating Operator Tiling for Distributed Data Science. - Borja Aizpurua, Roman Orus:
Tensor Networks for Explainable Machine Learning in Cybersecurity. - Bin Lei, Le Chen, Caiwen Ding:
FlashVideo: A Framework for Swift Inference in Text-to-Video Generation. - (Withdrawn) Teach Large Language Models to Forget Privacy.
- Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu:
PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. - Emanuele Sansone, Robin Manhaeve:
A Bayesian Unification of Self-Supervised Clustering and Energy-Based Models. - Falih Gozi Febrinanto, Mujie Liu, Feng Xia:
Balanced Graph Structure Information for Brain Disease Detection. - Maisha Boteju, Thilina Ranbaduge, Dinusha Vatsalan, Nalin Asanka Gamagedara Arachchilage:
SoK: Demystifying Privacy Enhancing Technologies Through the Lens of Software Developers. - Till Hofmann:
Towards Bridging the Gap between High-Level Reasoning and Execution on Robots. - Minoo Sayyadpour, Nasibe Moghaddamniya, Touraj Banirostam:
Automating Leukemia Diagnosis with Autoencoders: A Comparative Study. - Joseph D. Hart:
Attractor reconstruction with reservoir computers: The effect of the reservoir's conditional Lyapunov exponents on faithful attractor reconstruction. - Hiroyasu Akada, Jian Wang, Vladislav Golyanik, Christian Theobalt:
3D Human Pose Perception from Egocentric Stereo Videos. - Julie Jiang, Emilio Ferrara:
Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data. - Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Song Guo:
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration. - Wan-Duo Kurt Ma, John P. Lewis, W. Bastiaan Kleijn:
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation. - Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. - Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. - Alexandra Kakadiaris:
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction. - Guanhong Tao, Siyuan Cheng, Zhuo Zhang, Junmin Zhu, Guangyu Shen, Xiangyu Zhang:
Opening A Pandora's Box: Things You Should Know in the Era of Custom GPTs. - Qianxi Li, Yingyue Cao, Jikun Kang, Tianpei Yang, Xi Chen, Jun Jin, Matthew E. Taylor:
LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. - Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu:
DocLLM: A layout-aware generative language model for multimodal document understanding. - Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. - Saravanabalagi Ramachandran, Nathaniel Cibik, Ganesh Sistu, John McDonald:
WoodScape Motion Segmentation for Autonomous Driving - CVPR 2023 OmniCV Workshop Challenge. - Chenhang He, Ruihuang Li, Guowen Zhang, Lei Zhang:
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention. - Xuan Lin:
Fast and Continual Learning for Hybrid Control Policies using Generalized Benders Decomposition. - Ruizhuo Xu, Linzhi Huang, Mei Wang, Jiani Hu, Weihong Deng:
Skeleton2vec: A Self-supervised Learning Framework with Contextualized Target Representations for Skeleton Sequence. - Shounak Chatterjee:
Free-form Shape Modeling in XR: A Systematic Review. - Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao:
Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases. - Anirban Mukhopadhyay, Sukrit Venkatagiri, Kurt Luther:
OSINT Research Studios: A Flexible Crowdsourcing Framework to Scale Up Open Source Intelligence Investigations. - Zifan Wang, Junyu Chen, Ziqing Chen, Pengwei Xie, Rui Chen, Li Yi:
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation. - Mia Gaia Polansky, Charles Herrmann, Junhwa Hur, Deqing Sun, Dor Verbin, Todd E. Zickler:
Boundary Attention: Learning to Find Faint Boundaries at Any Resolution. - Reza Khanmohammadi, Simerjot Kaur, Charese H. Smiley, Tuka Alhanai, Ivan Brugere, Armineh Nourbakhsh, Mohammad M. Ghassemi:
The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. - Maciej Drozdowski:
On SAT information content, its polynomial-time solvability and fixed code algorithms. - Daniel Abode, Ramoni Adeogun, Lou Salaün, Renato Abreu, Thomas H. Jacobsen, Gilberto Berardinelli:
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks. - Matei Ioan Stan, Oliver Rhodes:
Learning Long Sequences in Spiking Neural Networks. - Arshia A. Khan, Rupak Kumar Das, Anna Martin, Dale Dowling, Rana Imtiaz:
Creating an Intelligent Dementia-Friendly Living Space: A Feasibility Study Integrating Assistive Robotics, Wearable Sensors, and Spatial Technology. - Avinash Amballa, Anmol Mekala, Gayathri Akkinapalli, Manas Madine, Naga Pavana Priya Yarrabolu, Przemyslaw A. Grabowicz:
Automated Model Selection for Tabular Data. - Álvaro F. Silva, Alexandra Mendes, João F. Ferreira:
Leveraging Large Language Models to Boost Dafny's Developers Productivity. - Julian Strohmayer, Martin Kampel:
Data Augmentation Techniques for Cross-Domain WiFi CSI-based Human Activity Recognition. - Din-Yin Hsieh, Chi-Hua Wang, Guang Cheng:
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective. - Jiayou Chao, Wei Zhu:
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters. - Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran:
Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients. - Md. Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei:
Facebook Report on Privacy of fNIRS data. - Yinan Cheng, Chi-Hua Wang, Vamsi K. Potluru, Tucker Balch, Guang Cheng:
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models. - Xin-She Yang:
Nature-Inspired Algorithms in Optimization: Introduction, Hybridization and Insights. - Shuang Li, Ke Li, Wei Li, Ming Yang:
Evolutionary Alternating Direction Method of Multipliers for Constrained Multi-Objective Optimization with Unknown Constraints. - Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang:
3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands. - Helen C. Purchase, John Hamer:
Trends in Practical Student Peer-review. - Vivek Kumar Tiwari, Premananda Indic, Shawana Tabassum:
Machine Learning Classification of Alzheimer's Disease Stages Using Cerebrospinal Fluid Biomarkers Alone. - Somnath Panja, Setareh Sharifian, Shaoquan Jiang, Reihaneh Safavi-Naini:
CCA-Secure Hybrid Encryption in Correlated Randomness Model and KEM Combiners. - Syed Muhammad Aamir, Hongbin Ma, Malak Abid Ali Khan, Muhammad Aaqib:
Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning. - Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li:
Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models. - Mario Döbler, Florian Marencke, Robert A. Marsden, Bin Yang:
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation. - Daniel Wankit Yip, Aysan Esmradi, Chun-Fai Chan:
A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models. - Chun-Fai Chan, Daniel Wankit Yip, Aysan Esmradi:
Detection and Defense Against Prominent Attacks on Preconditioned LLM-Integrated Virtual Assistants. - Jie Zhu, Leye Wang, Xiao Han, Anmin Liu, Tao Xie:
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment. - Manolis Antonoyiannakis:
Φ index: A standardized scale-independent citation indicator. - Chuntao Li, Ruihua Qi, Chuan Tang, Jiafu Wei, Xi Yang, Qian Zhang, Rixin Zhou:
AI Mobile Application for Archaeological Dating of Bronze Dings. - Jia Cheng Shang, Yuhao Chen, Mohammad Javad Shafiee, David A. Clausi:
Rink-Agnostic Hockey Rink Registration. - Hong-Fu Chou, Sourabh Solanki, Vu Nguyen Ha, Lin Chen, Sean Longyu Ma, Hayder Al-Hraishawi, Geoffrey Eappen, Symeon Chatzinotas:
Edge AI Empowered Physical Layer Security for 6G NTN: Potential Threats and Future Opportunities. - Peng Zhang, Yong Xiao, Yingyu Li, Xiaohu Ge, Guangming Shi, Yang Yang:
Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond. - Rosco Hunter, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Sourav Bhattacharya, Hongkai Wen:
Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. - Hanyu Wang, Bochen Tan, Jason Cong, Giovanni De Micheli:
Quantum State Preparation Using an Exact CNOT Synthesis Formulation. - Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt. - Ivan Tan, Christopher M. Poskitt:
Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring. - Thanh-Dung Le:
Boosting Transformer's Robustness and Efficacy in PPG Signal Artifact Detection with Self-Supervised Learning. - Siqi Zhang, Na Yi, Yi Ma:
A Survey of Computation Offloading with Task Type. - Kosuke Shigematsu:
Small Bird Detection using YOLOv7 with Test-Time Augmentation. - Zhewei Wei, Ji-Rong Wen, Mingji Yang:
Approximating Single-Source Personalized PageRank with Absolute Error Guarantees. - Butian Xiong, Liguang Zhou, Tin Lun Lam, Yangsheng Xu:
Class Relevance Learning For Out-of-distribution Detection. - Jan Pennekamp, Roman Matzutt, Christopher Klinkmüller, Lennart Bader, Martin Serror, Eric Wagner, Sidra Malik, Maria Spiß, Jessica Rahn, Tan Gürpinar, Eduard Vlad, Sander J. J. Leemans, Salil S. Kanhere, Volker Stich, Klaus Wehrle:
An Interdisciplinary Survey on Information Flows in Supply Chains. - Nelly Elsayed, Zag ElSayed, Murat Ozer:
CautionSuicide: A Deep Learning Based Approach for Detecting Suicidal Ideation in Real Time Chatbot Conversation. - Luciano Baresi, Giovanni Quattrocchi, Inacio Gaspar Ticongolo:
Dependency-aware Resource Allocation for Serverless Functions at the Edge. - Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari, Sami Yangui:
Context-Aware Trustworthy IoT Energy Services Provisioning. - Laurence Liang:
A Comparison of Bounding Box and Landmark Detection Methods for Video-Based Heart Rate Estimation. - Serban Stan, Mohammad Rostami:
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. - Guoliang Dong, Jun Sun, Richard Schumi, Bo Wang, Xinyu Wang:
PTE: Axiomatic Semantics based Compiler Testing. - Zishen Wan, Che-Kai Liu, Hanchen Yang, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Tushar Krishna, Yingyan Lin, Arijit Raychowdhury:
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI. - Mohammad Rostami, Dayuan Jian:
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation. - Jinlong Xue, Yayue Deng, Yingming Gao, Ya Li:
Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation. - Yuchen Wu, Kangjie Zhou:
Sharp Analysis of Power Iteration for Tensor PCA. - Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel:
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning. - Ife Adebara, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed:
Cheetah: Natural Language Generation for 517 African Languages. - Fan Lyu, Wei Feng, Yuepan Li, Qing Sun, Fanhua Shang, Liang Wan, Liang Wang:
Elastic Multi-Gradient Descent for Parallel Continual Learning. - Jun Zhao, Zhihao Zhang, Luhui Gao, Qi Zhang, Tao Gui, Xuanjing Huang:
LLaMA Beyond English: An Empirical Study on Language Capability Transfer. - Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. - Simiao Zhang, Jiaping Wang, Guoliang Dong, Jun Sun, Yueling Zhang, Geguang Pu:
Experimenting a New Programming Practice with LLMs. - Dafeng Wei, Tian Gao, Zhengyu Jia, Changwei Cai, Chengkai Hou, Peng Jia, Fu Liu, Kun Zhan, Jingchen Fan, Yixing Zhao, Yang Wang:
BEV-CLIP: Multi-modal BEV Retrieval Methodology for Complex Scene in Autonomous Driving. - Fanding Huang, Zihao Yao, Wenhui Zhou:
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic Segmentation. - Jerrold Soh:
Discovering Significant Topics from Legal Decisions with Selective Inference. - Huangxin Chen, Piaopiao Dong, Dong Wang, Xiao-Ping Wang:
A prediction-correction based iterative convolution-thresholding method for topology optimization of heat transfer problems. - Wei Du, Wenxuan Fang, Chen Liang, Yang Tang, Yaochu Jin:
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions. - Sanghoon Rho, Philipp Martens, Seungcheol Shin, Yeoneo Kim:
Taming the Beast: Fully Automated Unit Testing with Coyote C++. - Qiuhui Chen, Yi Hong:
AliFuse: Aligning and Fusing Multi-modal Medical Data for Computer-Aided Diagnosis. - Wonhyeok Choi, Mingyu Shin, Sunghoon Im:
Depth-discriminative Metric Learning for Monocular 3D Object Detection. - Zhichao Yin, Binyuan Hui, Min Yang, Fei Huang, Yongbin Li:
DialCLIP: Empowering CLIP as Multi-Modal Dialog Retriever. - Piao Hu, Jiashuo Jiang, Guodong Lyu, Hao Su:
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions. - Triet Minh Huynh, Quan Le Bao:
Vietnamese Poem Generation & The Prospect Of Cross-Language Poem-To-Poem Translation. - Jiaming He, Mingrui Li, Yangyang Wang, Hongyu Wang:
PLE-SLAM: A Visual-Inertial SLAM Based on Point-Line Features and Efficient IMU Initialization. - Liping Huang, Sheng Zhang, Yicheng Zhang, Yi Zhang, Yifang Yin:
Aircraft Landing Time Prediction with Deep Learning on Trajectory Images. - Jie Feng, Ke Wei, Jinchi Chen:
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction. - Ka Ho Chow, Wenqi Wei, Lei Yu:
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control. - Xianjun Yang, Stephen D. Wilson, Linda R. Petzold:
Quokka: An Open-source Large Language Model ChatBot for Material Science. - Ying Gao, Qingqing Wu, Wen Chen:
IRS-Aided Multi-Antenna Wireless Powered Communications in Interference Channels. - Jitao Ma, Weiying Xie, Yunsong Li:
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector. - Jing Zhang, Tengfei Zhao, Shiyu Hu, Xin Zhao:
Robust single-particle cryo-EM image denoising and restoration. - Dehua Peng, Zhipeng Gui, Wenzhang Wei, Huayi Wu:
Scalable manifold learning by uniform landmark sampling and constrained locally linear embedding. - Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo:
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing. - Kaito Harada, Naoki Kitamura, Taisuke Izumi, Toshimitsu Masuzawa:
Constructing Approximate Single-Source Distance Sensitivity Oracles in Nearly Linear Time. - Tianyuan Huang, Zejia Wu, Jiajun Wu, Jackelyn Hwang, Ram Rajagopal:
CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series. - Ha Le, Bao Tran, Phuong Le, Tan Nguyen, Dac Nguyen, Ngoan Pham, Dang Huynh:
Unveiling Comparative Sentiments in Vietnamese Product Reviews: A Sequential Classification Framework. - Zhihui Liu, Zhizhou Liu:
Unique Ergodicity of Stochastic Theta Method for Monotone SDEs driven by Nondegenerate Multiplicative Noise. - Yu Zhang, Kaiwen Zhang, Guanjun Liu:
Static Deadlock Detection for Rust Programs. - Chunyi Li, Haoning Wu, Zicheng Zhang, Hongkun Hao, Kaiwei Zhang, Lei Bai, Xiaohong Liu, Xiongkuo Min, Weisi Lin, Guangtao Zhai:
Q-Refine: A Perceptual Quality Refiner for AI-Generated Image. - Junliang Wang, Qinghua Zhang, Guanhua Zhu, Guoxi Sun:
Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction. - Alper Ahmetoglu, Erhan Öztop, Emre Ugur:
Symbolic Manipulation Planning with Discovered Object and Relational Predicates. - Matthias Jakobs, Amal Saadallah:
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting. - Anders E. Kalør, Giuseppe Durisi, Sinem Coleri, Stefan Parkvall, Wei Yu, Andreas Müller, Petar Popovski:
Wireless 6G Connectivity for Massive Number of Devices and Critical Services. - Weijin Cheng, Jianzhi Liu, Jiawen Deng, Fuji Ren:
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM. - Bicheng Xu, Qi Yan, Renjie Liao, Lele Wang, Leonid Sigal:
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models. - Navid Mohammadzadeh, Huy Truong Ba, Michael E. Cholette, Theodore A. Steinberg, Giampaolo Manzolini:
A Stochastic-MILP dispatch optimization model for Concentrated Solar Thermal under uncertainty. - Shiwen Zhao, Wei Wang, Junhui Hou, Hai Wu:
Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection. - Ziling Heng, Xiaoru Li, Yansheng Wu, Qi Wang:
Two families of linear codes with desirable properties from some functions over finite fields. - Chong Huang, Gaojie Chen, Pei Xiao, Yue Xiao, Zhu Han, Jonathon A. Chambers:
Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach. - Alessio Carpegna, Alessandro Savino, Stefano Di Carlo:
Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge. - Xumin Pu, Tiantian Lei, Wanli Wen, Qianbin Chen:
Enhancing Communication Efficiency of Semantic Transmission via Joint Processing Technique. - Gérard Chollet, Hugues Sansen, Yannis Tevissen, Jérôme Boudy, Mossaab Hariz, Christophe Lohr, Fathy Yassa:
Privacy Preserving Personal Assistant with On-Device Diarization and Spoken Dialogue System for Home and Beyond. - Spyros Angelopoulos, Thomas Lidbetter, Konstantinos Panagiotou:
Search Games with Predictions. - Alberto Lerner, Gustavo Alonso:
CXL and the Return of Scale-Up Database Engines. - Tong Zhou, Gaetan Kerschen:
Identification of Secondary Resonances of Nonlinear Systems using Phase-Locked Loop Testing. - Tomasz M. Gwizdalla, Aleksandra Piecuch:
The social graph based on real data. - Julian Frattini, Davide Fucci, Richard Torkar, Lloyd Montgomery, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Méndez:
Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment. - Guochen Ma, Xiaopeng Jiao, Jianjun Mu, Hui Han, Yaming Yang:
Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels. - Parham Zilouchian Moghaddam, Mehdi Modarressi, MohammadAmin Sadeghi:
NU-Class Net: A Novel Deep Learning-based Approach for Video Quality Enhancement. - Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Shahbaz Khan:
Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes. - Yanni Wang, Hecheng Jia, Shilei Fu, Huiping Lin, Feng Xu:
Reinforcement Learning for SAR View Angle Inversion with Differentiable SAR Renderer. - Tianyue Chu, Nikolaos Laoutaris:
FedQV: Leveraging Quadratic Voting in Federated Learning. - Mohammad Al Sa'd, Tuomas Jalonen, Serkan Kiranyaz, Moncef Gabbouj:
Quadratic Time-Frequency Analysis of Vibration Signals for Diagnosing Bearing Faults. - Yifang Men, Biwen Lei, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie:
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data. - Jiangtao Wei, Yixiang Luomei, Xu Zhang, Feng Xu:
Learning Surface Scattering Parameters From SAR Images Using Differentiable Ray Tracing. - Dongxu Li, Jianhao Huang, Chuan Huang, Xiaoqi Qin, Han Zhang, Ping Zhang:
Fundamental Limitation of Semantic Communications: Neural Estimation for Rate-Distortion. - Yuping Hu, Xin Huang, Jiayi Li, Zhen Zhang:
GBSS: a global building semantic segmentation dataset for large-scale remote sensing building extraction. - Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci:
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training. - Asim Khan, Umair Nawaz, Anwaar Ulhaq, Iqbal Gondal, Sajid Javed:
Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery. - Xuelin Zhu, Jian Liu, Dongqi Tang, Jiawei Ge, Weijia Liu, Bo Liu, Jiuxin Cao:
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label Classification. - Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li:
Unifying Structured Data as Graph for Data-to-Text Pre-Training. - Mete Seref Ahunbay, Martin Bichler:
On the Uniqueness of Bayesian Coarse Correlated Equilibria in Standard First-Price and All-Pay Auctions. - Ziheng Xu, Jianwei Niu, Qingfeng Li, Tao Ren, Chen Chen:
NID-SLAM: Neural Implicit Representation-based RGB-D SLAM in dynamic environments. - Moritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann:
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. - Qingxiu Dong, Guangyan Zhou, Ke Xu:
Further Explanations on "SAT Requires Exhaustive Search". - Peng Xu, Gaojie Chen, Jianping Quan, Chong Huang, Ioannis Krikidis, Kai-Kit Wong, Chan-Byoung Chae:
Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities. - Yury Orlovskiy, Camille Thibault, Anne Imouza, Jean-François Godbout, Reihaneh Rabbany, Kellin Pelrine:
Uncertainty Resolution in Misinformation Detection. - Benedetta Tondi, Wei Guo, Mauro Barni:
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example. - Flavio P. Loss, Pedro H. da Cunha, Matheus Becali Rocha, Madson Poltronieri Zanoni, Leandro M. de Lima, Isadora Tavares Nascimento, Isabella Rezende, Tania R. P. Canuto, Luciana de Paula Vieira, Renan Rossoni, Maria C. S. Santos, Patricia Lyra Frasson, Wanderson Romão, Paulo R. Filgueiras, Renato A. Krohling:
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms. - Lorenzo Venturini, Samuel Budd, Alfonso Farruggia, Robert Wright, Jacqueline Matthew, Thomas G. Day, Bernhard Kainz, Reza Razavi, Joseph V. Hajnal:
Whole-examination AI estimation of fetal biometrics from 20-week ultrasound scans. - Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang:
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model. - Renshuai Liu, Bowen Ma, Wei Zhang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Xuan Cheng:
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation. - Hao-Yuan Ma, Li Zhang, Xiang-Yi Wei:
FGENet: Fine-Grained Extraction Network for Congested Crowd Counting. - Li Ang, Siti Khatijah Nor Abdul Rahim, Raseeda Hamzah, Raihah Aminuddin, Gao Yousheng:
YOLO algorithm with hybrid attention feature pyramid network for solder joint defect detection. - Arnold Reusken, Hauke Sass:
Analysis of a space-time unfitted finite element method for PDEs on evolving surfaces. - Qinglong Huang, Yong Liao, Yanbin Hao, Pengyuan Zhou:
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise. - Chenggang Shan, Runze Gao, Qinghua Han, Zhen Yang, Jinhui Zhang, Yuanqing Xia:
KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework. - Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Zero-Shot Position Debiasing for Large Language Models. - Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou:
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond. - Zhi-Qin John Xu, Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Yaoyu Zhang, Tianhan Zhang:
Solving multiscale dynamical systems by deep learning. - Wei Jiang, Hans Dieter Schotten:
Beam-Based Multiple Access for IRS-Aided Millimeter-Wave and Terahertz Communications. - Mahmoud Rabea, Hanya Ahmed, Sohaila Mahmoud, Nourhan Sayed:
IdentiFace : A VGG Based Multimodal Facial Biometric System. - Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu:
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning. - Shuo Wang, Ge Cheng, Yun Zhang:
Graph Elimination Networks. - Tobias Engelhardt Rasmussen, Siv Sørensen:
Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning. - Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu:
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. - Hongyu Wang, Xiaotao Liu, Yifan Li, Meng Sun, Dian Yuan, Jing Liu:
Temporal Adaptive RGBT Tracking with Modality Prompt. - Darlyn Buenaño Vera, Byron Oviedo, Washington Chiriboga Casanova, Cristian Zambrano-Vega:
Deep Learning-Based Computational Model for Disease Identification in Cocoa Pods (Theobroma cacao L.). - Manoel Horta Ribeiro, Shagun Jhaver, Jordi Cluet-i-Martinell, Marie Reignier-Tayar, Robert West:
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Them. - Fuchen Long, Zhaofan Qiu, Ting Yao, Tao Mei:
VideoDrafter: Content-Consistent Multi-Scene Video Generation with LLM. - Will Crichton, Shriram Krishnamurthi:
Profiling Programming Language Learning. - Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik:
Do Concept Bottleneck Models Obey Locality? - Vincent Freiberger, Erik Buchmann:
Fairness Certification for Natural Language Processing and Large Language Models. - Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen:
Identification of Additive Continuous-time Systems in Open and Closed-loop. - Noor Ullah, Khawaja M. Yahya, Irfan Ahmed:
Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm. - Nicola Novello, Andrea M. Tonello:
f-Divergence Based Classification: Beyond the Use of Cross-Entropy. - Noble Saji Mathews, Yelizaveta Brus, Yousra Aafer, Meiyappan Nagappan, Shane McIntosh:
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection. - Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin:
Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions. - Yingbin Zhou, Yaping Sun, Guanying Chen, Xiaodong Xu, Hao Chen, Binhong Huang, Shuguang Cui, Ping Zhang:
MOC-RVQ: Multilevel Codebook-assisted Digital Generative Semantic Communication. - Zhaoan Wang, Shaoping Xiao, Junchao Li, Jun Wang:
Learning-based agricultural management in partially observable environments subject to climate variability. - Quan Tu, Shilong Fan, Zihang Tian, Rui Yan:
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation. - Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. - Vilém Zouhar, Ondrej Bojar:
Quality and Quantity of Machine Translation References for Automated Metrics. - Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon:
Socially Responsible Computing in an Introductory Course. - Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
A Comprehensive Study of Knowledge Editing for Large Language Models. - Ethan Zhu, Haijian Sun, Mingyue Ji:
Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges. - Sarita de Berg, Nathan van Beusekom, Max van Mulken, Kevin Verbeek, Jules Wulms:
Competitive Searching over Terrains. - Jonathan Bright, Florence E. Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan:
Generative AI is already widespread in the public sector. - Matthew Dahl, Varun Magesh, Mirac Suzgun, Daniel E. Ho:
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models. - Pascal Koiran:
On the uniqueness and computation of commuting extensions. - Sagar Dasgupta, Kazi Hassan Shakib, Mizanur Rahman:
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles. - Vahid Nourozi:
Application of the Cartier Operator in Coding Theory. - Sumedh Rasal:
LLM Harmony: Multi-Agent Communication for Problem Solving. - S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, Amitava Das:
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models. - Tomasz Jastrzab, Frédéric Lardeux, Éric Monfroy:
Classifying Words with 3-sort Automata. - Azimkhon Ostonov, Mikhail Moshkov:
Lower Bounds on Cardinality of Reducts for Decision Tables from Closed Classes. - Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu:
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois:
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction. - Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, Leif Azzopardi:
TREC iKAT 2023: The Interactive Knowledge Assistance Track Overview. - Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, Quanquan Gu:
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models. - Bingni Guo, Jiawang Nie, Zi Yang:
Diagonal Gaussian Mixture Models and Higher Order Tensor Decompositions. - Yunzhi Yan, Haotong Lin, Chenxu Zhou, Weijie Wang, Haiyang Sun, Kun Zhan, Xianpeng Lang, Xiaowei Zhou, Sida Peng:
Street Gaussians for Modeling Dynamic Urban Scenes. - Andy Riddle, Kim Westfall, Adam Bates:
ATLASv2: ATLAS Attack Engagements, Version 2. - Marc Schmitt:
Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection. - Kahraman Kostas, Mike Just, Michael A. Lones:
IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection. - Abdellah Tahenni, Fatiha Merazka:
SD-WAN over MPLS: A Comprehensive Performance Analysis and Security with Insights into the Future of SD-WAN. - T. B. Keesom, P. P. Popov, P. Dhyani, G. B. Jacobs:
A Synthetic Modal Generation of Additive Manufacturing Roughness Surfaces from Images. - Ralph Ankele, Hamed Haddadi:
The Boomerang protocol: A Decentralised Privacy-Preserving Verifiable Incentive Protocol. - Shalika Kumbham, Abhijit Debnath, Krothapalli Sreenivasa Rao:
Efficient Indexing of Meta-Data (Extracted from Educational Videos). - Samuel T. King:
Security, extensibility, and redundancy in the Metabolic Operating System. - Luis Balderas, Miguel Lastra, José Manuel Benítez:
Optimizing Convolutional Neural Network Architecture. - Heba Najm, Khirallah Elferjani, Alhaam Alariyibi:
Assisting Blind People Using Object Detection with Vocal Feedback. - Jan Butora, Patrick Bas:
The Adobe Hidden Feature and its Impact on Sensor Attribution. - Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang:
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. - Hankyul Baek, Donghyeon Kim, Joongheon Kim:
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. - Pablo Martin-Ramiro, Unai Sainz de la Maza, Roman Orus, Samuel Mugel:
Boosting Defect Detection in Manufacturing using Tensor Convolutional Neural Networks. - Md Habibor Rahman, Rocco Cassandro, Thorsten Wuest, Mohammed Shafae:
Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems. - Kaitlyn Wang, Yufang Jin:
Mapping Walnut Water Stress with High Resolution Multispectral UAV Imagery and Machine Learning. - Anastasiia Kropova, Igor Korkin:
ALPC Is In Danger: ALPChecker Detects Spoofing and Blinding. - Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-shot Learning Suffer from Backdoor Attacks? - Mar Grande, Florentino Borondo, Javier Borondo:
The predictive power of the Blockhain transaction networks: Towards a new generation of network science market indicators. - Aristeidis Zachos, Christos-Nikolaos Anagnostopoulos:
Using Terrestrial Laser Scanning, Unmanned Aerial Vehicles and Mixed Reality Methodologies for Digital Survey, 3D Modelling and Historical Recreation of Religious Heritage Monuments. - Ronghui Li, Yuqin Dai, Yachao Zhang, Jun Li, Jian Yang, Jie Guo, Xiu Li:
Exploring Multi-Modal Control in Music-Driven Dance Generation. - Yassin Mohamadi, Mostafa Haghir Chehreghani:
Strong Transitivity Relations and Graph Neural Networks. - Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do:
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition. - Julian Strohmayer, Martin Kampel:
Directional Antenna Systems for Long-Range Through-Wall Human Activity Recognition. - Guying Lin, Lei Yang, Yuan Liu, Congyi Zhang, Junhui Hou, Xiaogang Jin, Taku Komura, John Keyser, Wenping Wang:
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding. - Sagar Dasgupta, Abdullah Ahmed, Mizanur Rahman, Thejesh N. Bandi:
Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience. - Christopher Krapu, Mark E. Borsuk, Ryan S. D. Calder:
Deep autoregressive modeling for land use land cover. - Tiago P. Peixoto:
Scalable network reconstruction in subquadratic time. - Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, Chenhao Tan:
Quantifying the Uniqueness of Donald Trump in Presidential Discourse. - Marco Zambianco, Silvio Cretti, Domenico Siracusa:
Cost Minimization in Multi-cloud Systems with Runtime Microservice Re-orchestration. - Jorge Francisco García-Samartín, Adrián Rieker, Antonio Barrientos:
Design, Manufacturing and Open-Loop Control of a Soft Pneumatic Arm. - Wei Dai, Rui Zhang, Jinwei Liu:
P-TimeSync: A Precise Time Synchronization Simulation with Network Propagation Delays. - Md Towhidul Absar Chowdhury, Maheen Riaz Contractor, Carlos R. Rivero:
Flexible Control Flow Graph Alignment for Delivering Data-Driven Feedback to Novice Programming Learners. - Jiaming Luo, Colin Cherry, George F. Foster:
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation. - Bassam Bamieh:
Linear-Quadratic Problems in Systems and Controls via Covariance Representations and Linear-Conic Duality: Finite-Horizon Case. - Yuxiao Wei, Jin Cheng, Shingyu Leung, Robert Burridge, Jianliang Qian:
Hadamard integrators for wave equations in time and frequency domain: Eulerian formulations via butterfly algorithms. - Masoumeh Moradian, Aresh Dadlani, Ahmad Khonsari, Hina Tabassum:
Age-Aware Dynamic Frame Slotted ALOHA for Machine-Type Communications. - Alireza Shamsoshoara, Safin B. Salih, Pedram Aghazadeh:
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset. - Md. Musfiqur Rahman, Murat Kocaoglu:
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference. - José Marcos Gomes, Luis Alberto Vieira Dias:
Automated Test Production - Systematic Literature Mapping. - Mohsen Abedi:
Impact of DG and survey of pricing mechanism around different states in USA. - Bruno Clerckx, Yijie Mao, Zhaohui Yang, Mingzhe Chen, Ahmed Alkhateeb, Liang Liu, Min Qiu, Jinhong Yuan, Vincent W. S. Wong, Juan Montojo:
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook. - Kasi Viswanath, Peng Jiang, Sujit PB, Srikanth Saripalli:
Off-Road LiDAR Intensity Based Semantic Segmentation. - Seyed Mohammad Azimi-Abarghouyi, Viktoria Fodor:
Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity. - Feng Xue, Yicong Chang, Tianxi Wang, Yu Zhou, Anlong Ming:
Indoor Obstacle Discovery on Reflective Ground via Monocular Camera. - Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification. - Mingyu Liu, Ekim Yurtsever, Xingcheng Zhou, Jonathan Fossaert, Yuning Cui, Bare Luka Zagar, Alois C. Knoll:
A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook. - Dingkun Yan, Liang Yuan, Yuma Nishioka, Issei Fujishiro, Suguru Saito:
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text. - Soyed Tuhin Ahmed, Mehdi Baradaran Tahoori:
Concurrent Self-testing of Neural Networks Using Uncertainty Fingerprint. - Ananya Joshi, Tina Townes, Nolan Gormley, Luke Neureiter, Roni Rosenfeld, Bryan Wilder:
Outlier Ranking in Large-Scale Public Health Streams. - Scott Mahan, Caroline Moosmüller, Alexander Cloninger:
Point Cloud Classification via Deep Set Linearized Optimal Transport. - Xiaotong Wu, Wei-Sheng Lai, Yi-Chang Shih, Charles Herrmann, Michael Krainin, Deqing Sun, Chia-Kai Liang:
Efficient Hybrid Zoom using Camera Fusion on Mobile Phones. - Ali Noormohammadi-Asl, Kevin Fan, Stephen L. Smith, Kerstin Dautenhahn:
Human Leading or Following Preferences: Effects on Human Perception of the Robot and the Human-Robot Collaboration. - Walid Saba, Suzanne Wendelken, James Shanahan:
Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation. - Wentao Zhu:
TPC-ViT: Token Propagation Controller for Efficient Vision Transformer. - Shahla Shaan Ahmed, Shaowei Wang, Yuan Tian, Tse-Hsun Chen, Haoxiang Zhang:
A First Look at Information Highlighting in Stack Overflow Answers. - Max Bajracharya, James Borders, Richard Cheng, Daniel M. Helmick, Lukas Kaul, Dan Kruse, John Leichty, Jeremy Ma, Carolyn Matl, Frank Michel, Chavdar Papazov, Josh Petersen, Krishna Shankar, Mark Tjersland:
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach. - Yu Hin Au, Levent Tunçel:
On Rank-Monotone Graph Operations and Minimal Obstruction Graphs for the Lovász-Schrijver SDP Hierarchy. - Jiang You, René Natowicz, Arben Çela, Jacob Ouanounou, Patrick Siarry:
Kernel-U-Net: Hierarchical and Symmetrical Framework for Multivariate Time Series Forecasting. - Shamyo Brotee, Farhan Kabir, Md. Abdur Razzaque, Palash Roy, Md. Mamun-Or-Rashid, Md. Rafiul Hassan, Mohammad Mehedi Hassan:
Optimizing UAV-UGV Coalition Operations: A Hybrid Clustering and Multi-Agent Reinforcement Learning Approach for Path Planning in Obstructed Environment. - Kyle Buettner, Sina Malakouti, Xiang Lorraine Li, Adriana Kovashka:
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition. - Ali Noormohammadi-Asl, Stephen L. Smith, Kerstin Dautenhahn:
To Lead or to Follow? Adaptive Robot Task Planning in Human-Robot Collaboration. - Kai Ye, Tiejin Chen, Hua Wei, Liang Zhan:
Uncertainty Regularized Evidential Regression. - Kevin Taylor, Jerry Ng:
Natural Language Processing and Multimodal Stock Price Prediction. - (Withdrawn) A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System.
- Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang:
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework. - Wei Ai, Fuchen Zhang, Tao Meng, Yuntao Shou, Hongen Shao, Keqin Li:
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning. - Junting Wang, Praneet Rathi, Hari Sundaram:
A Pre-trained Sequential Recommendation Framework: Popularity Dynamics for Zero-shot Transfer. - Xintao Yan, Shuo Feng, David J. LeBlanc, Carol A. C. Flannagan, Henry X. Liu:
Evaluation of automated driving system safety metrics with logged vehicle trajectory data. - Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren:
Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games. - Xiaofang Chen, Wenbo Xu, Yue Wang, Yan Huang:
Specific Emitter Identification Based on Joint Variational Mode Decomposition. - Haopeng Li, Andong Deng, Qiuhong Ke, Jun Liu, Hossein Rahmani, Yulan Guo, Bernt Schiele, Chen Chen:
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports. - Lewis Y. Geer, Stephen E. Stein, William Gary Mallard, Douglas J. Slotta:
AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence. - Mehrdad Sabetzadeh, Chetan Arora:
Practical Guidelines for the Selection and Evaluation of NLP Techniques in RE. - Haopeng Li, Qiuhong Ke, Mingming Gong, Tom Drummond:
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering. - Syed Rameel Ahmad:
Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural Enterprise. - Alejandro Velasco, David N. Palacio, Daniel Rodríguez-Cárdenas, Denys Poshyvanyk:
Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? - Zihao Li, Shengxin Liu, Xinhang Lu, Biaoshuai Tao, Yichen Tao:
A Complete Landscape for the Price of Envy-Freeness. - Luoma Ke, Song Tong, Peng Cheng, Kaiping Peng:
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review. - Yixuan Wang, Shuangyin Li:
S2-DMs: Skip-Step Diffusion Models. - Chao Lu, Esha Telang, Aydin Aysu, Kanad Basu:
Quantum Leak: Timing Side-Channel Attacks on Cloud-Based Quantum Services. - Rujiao Long, Hangdi Xing, Zhibo Yang, Qi Zheng, Zhi Yu, Cong Yao, Fei Huang:
LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training. - Hongzhan Lin, Ziyang Luo, Bo Wang, Ruichao Yang, Jing Ma:
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse. - Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang:
Multimodal self-supervised learning for lesion localization. - Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He:
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. - Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq:
Poisoning Attacks against Recommender Systems: A Survey. - Fang Kong, Shuai Li:
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility. - Ziyi Bai, Ruiping Wang, Xilin Chen:
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering. - Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus:
Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing. - Orson Mengara:
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers. - Samhita Kuili, Kareem Dabbour, Irtiza Hasan, Andrea Herscovich, Burak Kantarci, Marcel Chenier, Melike Erol-Kantarci:
Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data. - Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. - Senkang Hu, Zhengru Fang, Yiqin Deng, Xianhao Chen, Yuguang Fang:
Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities. - Mingrui Li, Jiaming He, Guangan Jiang, Hongyu Wang:
DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM with Joint Semantic Encoding. - Zipei Yan, Zhengji Liu, Jizhou Li:
Boosting of Implicit Neural Representation-based Image Denoiser. - Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. - Cheuk Hin Ho, Timon S. Gutleb, Christoph Ortner:
Atomic Cluster Expansion without Self-Interaction. - Yi Rong, Haoran Zhou, Lixin Yuan, Cheng Mei, Jiahao Wang, Tong Lu:
CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers. - Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu:
One-Step Late Fusion Multi-view Clustering with Compressed Subspace. - Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. - Yufei Bo, Shuo Shao, Meixia Tao:
Deep Learning Based Superposition Coded Modulation for Hierarchical Semantic Communications over Broadcast Channels. - Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Team IELAB at TREC Clinical Trial Track 2023: Enhancing Clinical Trial Retrieval with Neural Rankers and Large Language Models. - Xiaohan Zhang, Cen Zhang, Xinghua Li, Zhengjie Du, Yuekang Li, Yaowen Zheng, Yeting Li, Bing Mao, Yang Liu, Robert H. Deng:
A Survey of Protocol Fuzzing. - Kang Fu, Yicong Peng, Zicheng Zhang, Qihang Xu, Xiaohong Liu, Jia Wang, Guangtao Zhai:
AttentionLut: Attention Fusion-based Canonical Polyadic LUT for Real-time Image Enhancement. - Xiaoheng Xie, Gang Fan, Xiaojun Lin, Ang Zhou, Shijie Li, Xunjin Zheng, Yinan Liang, Yu Zhang, Na Yu, Haokun Li, Xinyu Chen, Yingzhuang Chen, Yi Zhen, Dejun Dong, Xianjin Fu, Jinzhou Su, Fuxiong Pan, Pengshuai Luo, Youzheng Feng, Ruoxiang Hu, Jing Fan, Jinguo Zhou, Xiao Xiao, Peng Di:
CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations. - Rita Frieske, Bertram E. Shi:
Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models. - Cuiwei Liu, Jiahao Liu, Huaijun Qiu, Zhaokui Li, Xiangbin Shi:
View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization. - Shishen Li, Cuiwei Liu, Huaijun Qiu, Zhaokui Li:
A Transformer-Based Adaptive Semantic Aggregation Method for UAV Visual Geo-Localization. - Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen:
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation. - Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos N. Plataniotis, Yuanhao Yu:
Test-Time Personalization with Meta Prompt for Gaze Estimation. - Xin Gu, Heng Fan, Yan Huang, Tiejian Luo, Libo Zhang:
Context-Guided Spatio-Temporal Video Grounding. - Zhengfei Zhang, Yunyue Wei, Yanan Sui:
An Invariant Information Geometric Method for High-Dimensional Online Optimization.