Table of Contents

• Temporal aware Multi-Interest Graph Neural Network for Session-based RecommendationQi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei. [doi]
• Nighttime Semantic Segmentation with Unsupervised Learning and Cross AttentionJian Cheng, Yang-Feng Hu, Yu Dai, Xue Qiao, Li Yao, Jun Yan Yang. [doi]
• When to Classify Events in Open Times Series?Youssef Achenchabe, Alexis Bondu, Cornué'ejols Antoine, Lemaire Vincent 0001. 1-16 [doi]
• Graph annotation generative adversarial networksYoann Boget, Magda Gregorova, Alexandros Kalousis. 16 [doi]
• Bayesian Change-Point Detection for Bandit Feedback in Non-stationary EnvironmentsRéda Alami. 17-31 [doi]
• Out of Distribution Detection via Neural Network AnchoringRushil Anirudh, Jayaraman J. Thiagarajan. 32-47 [doi]
• On the Episodic Difficulty of Few-shot LearningYunwei Bai, Zhenfeng He, Junfeng Hu 0001. 48-63 [doi]
• Learning with Domain Knowledge to Develop Justifiable Convolutional NetworksRimmon Bhosale, Mrinal Das. 64-79 [doi]
• Robust Multi-Objective Reinforcement Learning with Dynamic PreferencesFrancois Buet-Golfouse, Parth Pahwa. 96-111 [doi]
• Fairness Trade-Offs and Partial DebiasingFrancois Buet-Golfouse, Islam Utyagulov. 112-136 [doi]
• Robust Scene Text Detection via Learnable Scene TransformationsYuheng Cao, Mengjie Zhou, Jie Chen. 137-152 [doi]
• A two-stream convolution architecture for ESC based on audio feature distanglementZhenghao Chang, Ruhan He, Yongsheng Yu, Zili Zhang, Geli Bai. 153-168 [doi]
• ProtoBandit: Efficient Prototype Selection via Multi-Armed BanditsArghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra. 169-184 [doi]
• Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and FlexibilityWeijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen. 185-200 [doi]
• Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient AlgorithmYou-Lin Chen, Zhiqiang Xu, Ping Li 0001. 201-216 [doi]
• On the Convergence of Decentralized Adaptive Gradient MethodsXiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li. 217-232 [doi]
• Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement LearningSayak Ray Chowdhury, Rafael Oliveira 0001. 249-264 [doi]
• Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataZongyu Dai, Zhiqi Bu, Qi Long. 265-279 [doi]
• BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningZhijie Deng, Jun Zhu. 280-295 [doi]
• A Self-improving Skin Lesions Diagnosis Framework Via Pseudo-labeling and Self-distillationShaochang Deng, Mengxiao Yin, Feng Yang. 296-310 [doi]
• Kernelized multi-graph matchingFrançois-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart. 311-326 [doi]
• Towards Data-Free Domain GeneralizationAhmed Frikha 0002, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp. 327-342 [doi]
• Trusted Loss Correction for Noisy Multi-Label LearningAmirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke, Lydia Y. Chen. 343-358 [doi]
• Multi Label Loss Correction against Missing and Corrupted LabelsAmirmasoud Ghiassi, Robert Birke, Lydia. Y. Chen. 359-374 [doi]
• DALE: Differential Accumulated Local Effects for efficient and accurate global explanationsVasilis Gkolemis, Theodore Dalamagas 0001, Christos Diou. 375-390 [doi]
• Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment AnalysisPeizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu. 391-406 [doi]
• BeautifAI - Personalised Occasion-based Makeup RecommendationKshitij Gulati, Gaurav Verma, Mukesh K. Mohania, Ashish Kundu. 407-419 [doi]
• Position-dependent partial convolutions for supervised spatial interpolationHirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara. 420-435 [doi]
• SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain AdaptationZhongyi Han, Wan Su, Rundong He, Yilong Yin. 436-451 [doi]
• A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for HeterophilyShuichiro Haruta, Tatsuya Konishi, Mori Kurokawa. 452-466 [doi]
• Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement LearningDiyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari. 467-482 [doi]
• Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNsChengyin Hu, Yilong Wang, Kalibinuer Tiliwalidi, Wen Li. 483-498 [doi]
• 3D Manifold Topology Based Medical Image Data AugmentationJisui Huang, Na Lei. 499-514 [doi]
• Embedding Adaptation Network with Transformer for Few-Shot Action RecognitionRongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang. 515-530 [doi]
• Deep Reinforcement Learning for High-Frequency Market MakingPankaj Kumar. 531-546 [doi]
• Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV TrackingRui Li, Xiao Li. 547-562 [doi]
• Contrastive Inductive Bias Controlling Networks for Reinforcement LearningDongxu Li, Shaochen Wang, Kang Chen, Bin Li. 563-578 [doi]
• AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing NetworkWei Li 0049, Weiyan Liu, Shitong Shao, Shiyi Huang. 579-594 [doi]
• Unsupervised Photo-to-Caricature Generation with Adaptive Select Layer-Instance Normalization and Semi-cycle ConsistencyZhiwei Li, Weiling Cai, Cairun Wang. 595-610 [doi]
• Robust Direct Learning for Causal Data FusionXinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou. 611-626 [doi]
• Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision ProcessesChonghua Liao, Jiafan He, Quanquan Gu. 627-642 [doi]
• FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and LocalizationBo Liu, Ranglei Wu, Xiuli Bi, Bin Xiao 0002. 643-657 [doi]
• AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAEChangjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta 0003. 658-673 [doi]
• Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent AutoencodersQingning Lu, Wenzhong Li, Chuanze Zhu, Yizhou Chen, Yinke Wang, Zhijie Zhang, Linshan Shen, Sanglu Lu. 674-689 [doi]
• Learning Disentangled Representation in Pruning for Real-Time UAV TrackingSiyu Ma, Yuting Liu, Dan Zeng 0002, Yaxin Liao, Xiaoyu Xu, Shuiwang Li. 690-705 [doi]
• Asynchronous Personalized Federated Learning with Irregular ClientsZichen Ma, Yu Lu, Wenye Li 0001, Shuguang Cui. 706-721 [doi]
• RoLNiP: Robust Learning Using Noisy Pairwise ComparisonsSamartha S. Maheshwara, Naresh Manwani. 706-721 [doi]
• Efficient Deep Clustering of Human Activities and How to Improve EvaluationLouis Mahon, Thomas Lukasiewicz. 722-737 [doi]
• Bootstrapping a high quality multilingual multimodal dataset for BletchleyOwais Khan Mohammed, Kriti Aggarwal, Qiang Liu, Saksham Singhal, Johan Bjorck, Subhojit Som. 738-753 [doi]
• Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence ClassificationTaslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson. 754-769 [doi]
• Robust computation of optimal transport by β-potential regularizationShintaro Nakamura, Han Bao 0002, Masashi Sugiyama. 770-785 [doi]
• BINAS: Bilinear Interpretable Neural Architecture SearchNiv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik-Manor. 786-801 [doi]
• One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular OptimizationTuan-Anh Nguyen, Kim Thang Nguyen, Denis Trystram. 802-815 [doi]
• Example or Prototype? Learning Concept-Based Explanations in Time-SeriesChristoph Obermair, Alexander Fuchs 0009, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann. 816-831 [doi]
• On the Interpretability of Attention NetworksLakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy. 832-847 [doi]
• Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training ScheduleTejas Pote, Muhammad Athar Ganaie, Atif Hassan, Swanand R. Khare. 848-863 [doi]
• Interpretable Representation Learning from Temporal Multi-view DataLin Qiu, Vernon M. Chinchilli, Lin Lin 0003. 864-879 [doi]
• AFRNN: Stable RNN with Top Down Feedback and AntisymmetryTim Schwabe, Tobias Glasmachers, Maribel Acosta. 880-894 [doi]
• Autonomous Myocardial Infarction Detection from Electrocardiogram with a Multi Label Classification ApproachVishwa Mohan Singh, Vibhor Saran, Pooja Kadambi. 911-926 [doi]
• On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled DataJinyan Su, Jinhui Xu 0001, Di Wang 0015. 927-941 [doi]
• Feature Distribution Matching for Federated Domain GeneralizationYuwei Sun, Ng S. T. Chong, Hideya Ochiai. 942-957 [doi]
• Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with UnobservabilityPriyabrata Sundaray, Yang Weng. 958-973 [doi]
• CVaR-Regret Bounds for Multi-armed BanditsChenmien Tan, Paul Weng. 974-989 [doi]
• Multi-class Classification from Multiple Unlabeled Datasets with Partial Risk RegularizationYuting Tang, Nan Lu, Tianyi Zhang, Masashi Sugiyama. 990-1005 [doi]
• Domain Alignment Meets Fully Test-Time AdaptationKowshik Thopalli, Pavan K. Turaga, Jayaraman J. Thiagarajan. 1006-1021 [doi]
• FLVoogd: Robust And Privacy Preserving Federated LearningYuhang Tian, Rui Wang, Yanqi Qiao, Emmanouil Panaousis, Kaitai Liang. 1022-1037 [doi]
• Noise Robust Core-stable Coalitions of Hedonic GamesPrashant Trivedi, Nandyala Hemachandra. 1038-1053 [doi]
• On the expressivity of bi-Lipschitz normalizing flowsAlexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi. 1054-1069 [doi]
• Constrained Contrastive Reinforcement LearningHaoyu Wang, Xinrui Yang, Yuhang Wang, Xuguang Lan. 1070-1084 [doi]
• Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learningYaxuan Wang, Zhixin Zeng, Qijun Zhao. 1085-1100 [doi]
• Margin Calibration for Long-Tailed Visual RecognitionYidong Wang, Bowen Zhang, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki. 1101-1116 [doi]
• Layer-wise Adaptive Graph Convolution Networks Using Generalized PagerankKishan Wimalawarne, Taiji Suzuki. 1117-1132 [doi]
• Pose Guided Human Image Synthesis with Partially Decoupled GANJianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Xiao Jing 0006. 1133-1148 [doi]
• Probabilistic Fusion of Neural Networks that Incorporates Global InformationPeng Xiao, Biao Zhang, Samuel Cheng 0001, Ke Wei, Shuqin Zhang. 1149-1164 [doi]
• Semantic Cross Attention for Few-shot LearningBin Xiao 0008, Chien-Liang Liu, Wen-Hoar Hsaio. 1165-1180 [doi]
• An Enhanced Human Activity Recognition Algorithm with Positional AttentionChenyang Xu, Jianfei Shen, Feiyi Fan, Tian Qiu, Zhihong Mao. 1181-1196 [doi]
• Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary EncodingXuetong Xue, Jiaying Shi, Xinxue He, Shenghui Xu, Zhaoming Pan. 1197-1212 [doi]
• Sliced Wasserstein variational inferenceMingxuan Yi, Song Liu. 1213-1228 [doi]
• Learning with Interactive Models over Decision-Dependent DistributionsMan-Jie Yuan, Wei Gao. 1229-1244 [doi]
• Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized RepresentationsWei Zhao 0033, Steffen Eger. 1245-1260 [doi]
• EENAS: An Efficient Evolutionary Algorithm for Neural Architecture SearchJian Zheng, Wenran Han, Ying Zhang, Shufan Ji. 1261-1276 [doi]
• A Novel Differentiable Mixed-Precision Quantization Search Framework for Alleviating the Matthew Effect and Improving RobustnessHengyi Zhou, Hongyi He, Wanchen Liu, Yuhai Li, Haonan Zhang, Longjun Liu. 1277-1292 [doi]
• Multi-scale Progressive Gated Transformer for Physiological Signal ClassificationWei Zhou, Hao Wang, Yiling Zhang, Cheng Long, Yan Yang, Dongjie Wang. 1293-1308 [doi]