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Publication search results
found 59 matches
- 2023
- 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 IV. Communications in Computer and Information Science 1791, Springer 2023, ISBN 978-981-99-1638-2 [contents] - 2022
- Mehrdad Mohannazadeh Bakhtiari, Thomas Villmann:
Classification by Components Including Chow's Reject Option. ICONIP (4) 2022: 586-596 - Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj:
Fairly Constricted Multi-objective Particle Swarm Optimization. ICONIP (4) 2022: 610-621 - Andrei Boiarov, Kostiantyn Khabarlak, Igor Yastrebov:
Simultaneous Perturbation Method for Multi-task Weight Optimization in One-Shot Meta-learning. ICONIP (4) 2022: 373-384 - Ze Cao, Jian-wei Liu, Zi-Hao Cheng:
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies. ICONIP (4) 2022: 53-64 - Dianying Chen, Xuesong Jiang, Jun Chen, Xiumei Wei:
Community Discovery Algorithm Based on Improved Deep Sparse Autoencoder. ICONIP (4) 2022: 597-609 - Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi:
Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning. ICONIP (4) 2022: 3-14 - Lei Cheng, Yongyong Chen, Zhongyun Hua:
Deep Contrastive Multi-view Subspace Clustering. ICONIP (4) 2022: 692-704 - Laiping Cui, Zhenyu Yang, Guojing Liu, Yu Wang, Kaiyang Ma:
MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information. ICONIP (4) 2022: 348-360 - Qi Dai, Jian-wei Liu, Jia-Peng Yang:
Sequential Three-Way Rules Class-Overlap Under-Sampling Based on Fuzzy Hierarchical Subspace for Imbalanced Data. ICONIP (4) 2022: 15-27 - Gaoyun Fang, Yang Liu, Jing Liu, Liang Song:
MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning. ICONIP (4) 2022: 671-682 - Tomasz Galkowski, Adam Krzyzak:
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. ICONIP (4) 2022: 251-262 - Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. ICONIP (4) 2022: 336-347 - Qimeng Guo, Huajuan Duan, Chuanhao Dong, Peiyu Liu, Liancheng Xu:
GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. ICONIP (4) 2022: 177-188 - Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu:
Searching for Textual Adversarial Examples with Learned Strategy. ICONIP (4) 2022: 385-396 - Haoming He, Deyu Zeng, Chris Ding, Zongze Wu:
Data Representation and Clustering with Double Low-Rank Constraints. ICONIP (4) 2022: 79-91 - Chenghai He, Li Zhou, Kai Zhang, Hailing Li, Shoufeng Cao, Gang Xiong, Xiaohang Zhang:
Boosting the Robustness of Neural Networks with M-PGD. ICONIP (4) 2022: 562-573 - Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno:
Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs. ICONIP (4) 2022: 683-691 - Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang:
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. ICONIP (4) 2022: 647-658 - Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan:
Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient. ICONIP (4) 2022: 634-646 - Tianlei Jin, Wen Wang, Shiqiang Zhu, Xiangming Xi, Qiwei Meng, Zonghao Mu, Wei Song:
Independent Relationship Detection for Real-Time Scene Graph Generation. ICONIP (4) 2022: 106-118 - Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing:
Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. ICONIP (4) 2022: 189-201 - Masanari Kimura:
Generalization Bounds for Set-to-Set Matching with Negative Sampling. ICONIP (4) 2022: 468-476 - Natan Levy, Guy Katz:
RoMA: A Method for Neural Network Robustness Measurement and Assessment. ICONIP (4) 2022: 92-105 - Dominik Lewy, Jacek Mandziuk, Maria Ganzha, Marcin Paprzycki:
StatMix: Data Augmentation Method that Relies on Image Statistics in Federated Learning. ICONIP (4) 2022: 574-585 - Zhouzheng Li, Dongyan Miao, Junfeng Gao, Kun Feng:
Learning Stable Representations with Progressive Autoencoder (PAE). ICONIP (4) 2022: 538-549 - Qinglin Li, Guanyu Xing, Yanli Liu:
A Joint Learning Model for Open Set Recognition with Post-processing. ICONIP (4) 2022: 420-432 - Wenhao Lu, Chi-Sing Leung, John Sum:
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. ICONIP (4) 2022: 202-214 - Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. ICONIP (4) 2022: 153-164 - Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski:
ReGAE: Graph Autoencoder Based on Recursive Neural Networks. ICONIP (4) 2022: 263-274
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