Table of Contents

• Solving Partial Differential Equations Using Point-Based Neural NetworksNing Hua, Wenlian Lu. 3-14 [doi]
• Patch Mix Augmentation with Dual Encoders for Meta-LearningHong Yu, Fanzhang Li. 15-26 [doi]
• Tacit Commitments Emergence in Multi-agent Reinforcement LearningBoyin Liu, Zhiqiang Pu, Junlong Gao, Jianqiang Yi, Zhenyu Guo. 27-36 [doi]
• Saccade Direction Information ChannelQiaohong Hao, Mateu Sbert, Miquel Feixas, Yi Zhang 0070, Màrius Vila, Jiawan Zhang. 37-50 [doi]
• Shared-Attribute Multi-Graph Clustering with Global Self-AttentionJianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren 0001, Xiaorong Pu, Li Gao, Lifang He 0001. 51-63 [doi]
• Mutual Diverse-Label Adversarial TrainingMingzhe Li, Sizhe Chen, Xiaolin Huang. 64-75 [doi]
• Multi-Agent Hyper-Attention Policy OptimizationBin Zhang, Zhiwei Xu 0005, Yiqun Chen, Dapeng Li 0001, Yunpeng Bai, Guoliang Fan, Lijuan Li. 76-87 [doi]
• Filter Pruning via Similarity Clustering for Deep Convolutional Neural NetworksKang Song, WangShu Yao, Xuan Zhu. 88-99 [doi]
• FPD: Feature Pyramid Knowledge DistillationQi Wang, Lu Liu, Wenxin Yu, Zhiqiang Zhang, Yuxin Liu, Shiyu Cheng, Xuewen Zhang, Jun Gong. 100-111 [doi]
• An Effective Ensemble Model Related to Incremental Learning in Neural Machine TranslationPumeng Shi. 112-127 [doi]
• Local-Global Semantic Fusion Single-shot Classification MethodJianwei Cai, Kun Fang, Weihao Yu, Jie Yang, Yu Qiao. 128-139 [doi]
• Self-Reinforcing Feedback Domain Adaptation ChannelYan Jia, Xiang Zhang 0008, Long Lan, Zhigang Luo. 140-152 [doi]
• General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison DataMasahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto. 153-164 [doi]
• Additional Learning for Joint Probability Distribution Matching in BiGANJiazhou Zheng, Hiroaki Aizawa, Takio Kurita. 165-176 [doi]
• Multi-view Self-attention for Regression Domain Adaptation with Feature SelectionMehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux. 177-188 [doi]
• EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance FieldsZhiyuan Yang 0003, Qingfu Zhang 0001. 189-199 [doi]
• Partial Label Learning with Gradually Induced Error-Correction Output CodesYu-Xuan Shi, Deng-Bao Wang, Min-Ling Zhang. 200-211 [doi]
• HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based OptimizerOmatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das. 212-223 [doi]
• Heterogeneous Graph Representation for Knowledge TracingJisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang 0001, Yong Yu 0001. 224-235 [doi]
• Intuitionistic Fuzzy Universum Support Vector MachineAnuradha Kumari, M. A. Ganaie, M. Tanveer. 236-247 [doi]
• Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification ProblemAshwani Kumar Malik, Mudasir A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan. 248-259 [doi]
• Selectively Increasing the Diversity of GAN-Generated SamplesJan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski. 260-270 [doi]
• Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement LearningYunxiao Guo, Xinjia Xie, Runhao Zhao, Chenglan Zhu, Jiangting Yin, Han Long. 271-283 [doi]
• Differentiable Causal Discovery Under Heteroscedastic NoiseGenta Kikuchi. 284-295 [doi]
• IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo LabelsXuewei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu. 296-308 [doi]
• Adaptive Scaling for U-Net in Time Series ClassificationWen Xin Cheng, Ponnuthurai Nagaratnam Suganthan. 309-320 [doi]
• Permutation Elementary Cellular Automata: Analysis and Application of Simple ExamplesTaiji Okano, Toshimichi Saito. 321-330 [doi]
• SSPR: A Skyline-Based Semantic Place Retrieval MethodJiamin Lu, Zhenyu Zhou, Jiahao Liu, Jun Feng. 331-342 [doi]
• Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset ClassificationQiushi Shi, Ponnuthurai Nagaratnam Suganthan. 343-354 [doi]
• Adaptive Tabu Dropout for Regularization of Deep Neural NetworksMd. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael, Md Al Emran Hossain, H. M. Mutasim Billah, Sumayra Islam, Swakkhar Shatabda. 355-366 [doi]
• Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action LocalizationTianquan Chen, Bairong Li, Yusheng Tao, Yuqing Wang, Yuesheng Zhu. 367-378 [doi]
• Nearest Neighbor Classifier with Margin Penalty for Active LearningYuan Cao, Zhiqiao Gao, Jie Hu, Mingchuan Yang, Jinpeng Chen. 379-392 [doi]
• Factual Error Correction in Summarization with Retriever-Reader PipelineWeiwei Li, Junzhuo Liu, Hui Gao. 393-405 [doi]
• Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement LearningTingting Xu, Fengge Wu, Junsuo Zhao. 406-417 [doi]
• Self-attention Based Multi-scale Graph Convolutional NetworksZhilong Xiong, Jia Cai. 418-430 [doi]
• Synesthesia Transformer with Contrastive Multimodal LearningZhengxiao Sun, Feiyu Chen, Jie Shao 0001. 431-442 [doi]
• Context-Based Point Generation Network for Point Cloud CompletionLihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, RenGang Li. 443-454 [doi]
• Temporal Neighborhood Change Centrality for Important Node Identification in Temporal NetworksZongze Wu, Langzhou He, Li Tao, Yi Wang, Zili Zhang 0001. 455-467 [doi]
• DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph TransformerJiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan. 468-479 [doi]
• Sparse Linear Capsules for Matrix Factorization-Based Collaborative FilteringXuan Li, Li Zhang. 480-491 [doi]
• PromptFusion: A Low-Cost Prompt-Based Task Composition for Multi-task LearningHetian Song, Hao He 0003, Qingmeng Zhu, Xiaoguang Xue. 492-503 [doi]
• A Fast and Efficient Algorithm for Filtering the Training DatasetNorbert Jankowski. 504-512 [doi]
• Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object DetectionXing Wei, Ting Bai, Zhangling Duan, Ming Zhao, Chong Zhao, Yang Lu 0015, Di Hu. 513-524 [doi]
• IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman ProblemHaoran Ma, Shikui Tu, Lei Xu 0001. 525-536 [doi]
• Boosting Graph Convolutional Networks with Semi-supervised TrainingShuai Tang, Enmei Tu, Jie Yang. 537-548 [doi]
• Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available InputsRohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad. 549-561 [doi]
• VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement LearningHaonan Liu, Liansheng Zhuang, Yihong Huang, Cheng Zhao. 562-573 [doi]
• An Analytical Estimation of Spiking Neural Networks Energy EfficiencyEdgar Lemaire, Loïc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benoît Miramond. 574-587 [doi]
• Correlation Based Semantic Transfer with Application to Domain AdaptationFlorina-Cristina Calnegru, John Shawe-Taylor, Iasonas Kokkinos, Razvan Pascanu. 588-599 [doi]
• Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link NetworkNehal Ahmad, Mudasir Ahmad Ganaie, Ashwani Kumar Malik, Kuan-Ting Lai, M. Tanveer. 600-611 [doi]
• Neural Network Compression by Joint Sparsity Promotion and Redundancy ReductionTariq M. Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering. 612-623 [doi]