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ORCID29th ICONIP 2022: Virtual Event - Part I
- Mohammad Tanveer, Sonali Agarwal
, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13623, Springer 2023, ISBN 978-3-031-30104-9
Theory and Algorithms
- Ning Hua, Wenlian Lu:
Solving Partial Differential Equations Using Point-Based Neural Networks. 3-14 - Hong Yu, Fanzhang Li:
Patch Mix Augmentation with Dual Encoders for Meta-Learning. 15-26 - Boyin Liu, Zhiqiang Pu, Junlong Gao, Jianqiang Yi, Zhenyu Guo:
Tacit Commitments Emergence in Multi-agent Reinforcement Learning. 27-36 - Qiaohong Hao, Mateu Sbert, Miquel Feixas, Yi Zhang, Màrius Vila, Jiawan Zhang:
Saccade Direction Information Channel. 37-50 - Jianpeng Chen, Zhimeng Yang, Jingyu Pu, Yazhou Ren, Xiaorong Pu, Li Gao, Lifang He:
Shared-Attribute Multi-Graph Clustering with Global Self-Attention. 51-63 - Mingzhe Li, Sizhe Chen, Xiaolin Huang:
Mutual Diverse-Label Adversarial Training. 64-75 - Bin Zhang, Zhiwei Xu, Yiqun Chen, Dapeng Li, Yunpeng Bai, Guoliang Fan, Lijuan Li:
Multi-Agent Hyper-Attention Policy Optimization. 76-87 - Kang Song, Wangshu Yao, Xuan Zhu:
Filter Pruning via Similarity Clustering for Deep Convolutional Neural Networks. 88-99 - Qi Wang, Lu Liu, Wenxin Yu, Zhiqiang Zhang, Yuxin Liu, Shiyu Cheng, Xuewen Zhang, Jun Gong:
FPD: Feature Pyramid Knowledge Distillation. 100-111 - Pumeng Shi:
An Effective Ensemble Model Related to Incremental Learning in Neural Machine Translation. 112-127 - Jianwei Cai, Kun Fang, Weihao Yu, Jie Yang, Yu Qiao:
Local-Global Semantic Fusion Single-shot Classification Method. 128-139 - Yan Jia, Xiang Zhang, Long Lan, Zhigang Luo:
Self-Reinforcing Feedback Domain Adaptation Channel. 140-152 - Masahiro Kohjima, Yuta Nambu, Yuki Kurauchi, Ryuji Yamamoto:
General Algorithm for Learning from Grouped Uncoupled Data and Pairwise Comparison Data. 153-164 - Jiazhou Zheng, Hiroaki Aizawa, Takio Kurita:
Additional Learning for Joint Probability Distribution Matching in BiGAN. 165-176 - Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel, Thomas Ranvier, Eric Michoux:
Multi-view Self-attention for Regression Domain Adaptation with Feature Selection. 177-188 - Zhiyuan Yang, Qingfu Zhang:
EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields. 189-199 - Yu-Xuan Shi, Deng-Bao Wang, Min-Ling Zhang:
Partial Label Learning with Gradually Induced Error-Correction Output Codes. 200-211 - Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das:
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. 212-223 - Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu:
Heterogeneous Graph Representation for Knowledge Tracing. 224-235 - Anuradha Kumari, M. A. Ganaie, M. Tanveer:
Intuitionistic Fuzzy Universum Support Vector Machine. 236-247 - Ashwani Kumar Malik, Mudasir Ahmad Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. 248-259 - Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski:
Selectively Increasing the Diversity of GAN-Generated Samples. 260-270 - Yunxiao Guo, Xinjia Xie, Runhao Zhao, Chenglan Zhu, Jiangting Yin, Han Long:
Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning. 271-283 - Genta Kikuchi:
Differentiable Causal Discovery Under Heteroscedastic Noise. 284-295 - Xuewei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu:
IDPL: Intra-subdomain Adaptation Adversarial Learning Segmentation Method Based on Dynamic Pseudo Labels. 296-308 - Wen Xin Cheng, Ponnuthurai Nagaratnam Suganthan:
Adaptive Scaling for U-Net in Time Series Classification. 309-320 - Taiji Okano, Toshimichi Saito:
Permutation Elementary Cellular Automata: Analysis and Application of Simple Examples. 321-330 - Jiamin Lu, Zhenyu Zhou, Jiahao Liu, Jun Feng:
SSPR: A Skyline-Based Semantic Place Retrieval Method. 331-342 - Qiushi Shi, Ponnuthurai Nagaratnam Suganthan:
Double Regularization-Based RVFL and edRVFL Networks for Sparse-Dataset Classification. 343-354 - Md. Tarek Hasan, Arifa Akter, Mohammad Nazmush Shamael, Md Al Emran Hossain, H. M. Mutasim Billah, Sumayra Islam, Swakkhar Shatabda:
Adaptive Tabu Dropout for Regularization of Deep Neural Networks. 355-366 - Tianquan Chen, Bairong Li, Yusheng Tao, Yuqing Wang, Yuesheng Zhu:
Class-Incremental Learning with Multiscale Distillation for Weakly Supervised Temporal Action Localization. 367-378 - Yuan Cao, Zhiqiao Gao, Jie Hu, Mingchuan Yang, Jinpeng Chen:
Nearest Neighbor Classifier with Margin Penalty for Active Learning. 379-392 - Weiwei Li, Junzhuo Liu, Hui Gao:
Factual Error Correction in Summarization with Retriever-Reader Pipeline. 393-405 - Tingting Xu, Fengge Wu, Junsuo Zhao:
Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning. 406-417 - Zhilong Xiong, Jia Cai:
Self-attention Based Multi-scale Graph Convolutional Networks. 418-430 - Zhengxiao Sun, Feiyu Chen, Jie Shao:
Synesthesia Transformer with Contrastive Multimodal Learning. 431-442 - Lihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, Rengang Li:
Context-Based Point Generation Network for Point Cloud Completion. 443-454 - Zongze Wu, Langzhou He, Li Tao, Yi Wang, Zili Zhang:
Temporal Neighborhood Change Centrality for Important Node Identification in Temporal Networks. 455-467 - Jiali Feng, Cong Cao, Fangfang Yuan, Xiaoliang Zhang, Zhiping Li, Yanbing Liu, Jianlong Tan:
DOM2R-Graph: A Web Attribute Extraction Architecture with Relation-Aware Heterogeneous Graph Transformer. 468-479 - Xuan Li, Li Zhang:
Sparse Linear Capsules for Matrix Factorization-Based Collaborative Filtering. 480-491 - Hetian Song, Hao He, Qingmeng Zhu, Xiaoguang Xue:
PromptFusion: A Low-Cost Prompt-Based Task Composition for Multi-task Learning. 492-503 - Norbert Jankowski:
A Fast and Efficient Algorithm for Filtering the Training Dataset. 504-512 - Xing Wei, Ting Bai, Zhangling Duan, Ming Zhao, Chong Zhao, Yang Lu, Di Hu:
Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection. 513-524 - Haoran Ma, Shikui Tu, Lei Xu:
IA-CL: A Deep Bidirectional Competitive Learning Method for Traveling Salesman Problem. 525-536 - Shuai Tang, Enmei Tu, Jie Yang:
Boosting Graph Convolutional Networks with Semi-supervised Training. 537-548 - Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad:
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. 549-561 - Haonan Liu, Liansheng Zhuang, Yihong Huang, Cheng Zhao:
VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning. 562-573 - Edgar Lemaire, Loïc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benoît Miramond:
An Analytical Estimation of Spiking Neural Networks Energy Efficiency. 574-587 - Florina-Cristina Calnegru, John Shawe-Taylor, Iasonas Kokkinos, Razvan Pascanu:
Correlation Based Semantic Transfer with Application to Domain Adaptation. 588-599 - Nehal Ahmad, Mudasir Ahmad Ganaie, Ashwani Kumar Malik, Kuan-Ting Lai, M. Tanveer:
Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network. 600-611 - Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering:
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. 612-623
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