IEEE Transactions on Neural Networks and Learning Systems 2023 — papers
The works of IEEE Transactions on Neural Networks and Learning Systems published in 2023 that our library holds (publisher: Institute of Electrical and Electronics Engineers): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- A Survey of Visual Transformers ↗Yang Liu, Yao Zhang, Yixin Wang et al.549 citations
- A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems ↗Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini361 citations
- Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives ↗Hongtian Chen, Hao Luo, Biao Huang et al.219 citations
- Joint Entity and Relation Extraction With Set Prediction Networks ↗Dianbo Sui, Xiangrong Zeng, Yubo Chen et al.214 citations
- An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition ↗Jiusi Zhang, Ke Zhang, Yiyao An et al.212 citations
- LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface ↗Yi Ding, Neethu Robinson, Chengxuan Tong et al.211 citations
- Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning ↗Si-Guo Fang, Dong Huang, Xiao-Sha Cai et al.207 citations
- Domain Adaptation via Prompt Learning ↗Chunjiang Ge, Rui Huang, Mixue Xie et al.199 citations
- AAformer: Auto-Aligned Transformer for Person Re-Identification ↗Kuan Zhu, Haiyun Guo, Shiliang Steven Zhang et al.193 citations
- Simple Contrastive Graph Clustering ↗Yue Liu, Xihong Yang, Sihang Zhou et al.191 citations
All works of the year (988)
- A Survey of Visual Transformers ↗Yang Liu, Yao Zhang, Yixin Wang et al.549 citations
- A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems ↗Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini361 citations
- Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives ↗Hongtian Chen, Hao Luo, Biao Huang et al.219 citations
- Joint Entity and Relation Extraction With Set Prediction Networks ↗Dianbo Sui, Xiangrong Zeng, Yubo Chen et al.214 citations
- An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition ↗Jiusi Zhang, Ke Zhang, Yiyao An et al.212 citations
- LGGNet: Learning From Local-Global-Graph Representations for Brain–Computer Interface ↗Yi Ding, Neethu Robinson, Chengxuan Tong et al.211 citations
- Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning ↗Si-Guo Fang, Dong Huang, Xiao-Sha Cai et al.207 citations
- Domain Adaptation via Prompt Learning ↗Chunjiang Ge, Rui Huang, Mixue Xie et al.199 citations
- AAformer: Auto-Aligned Transformer for Person Re-Identification ↗Kuan Zhu, Haiyun Guo, Shiliang Steven Zhang et al.193 citations
- Simple Contrastive Graph Clustering ↗Yue Liu, Xihong Yang, Sihang Zhou et al.191 citations
- Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain ↗Jianye Hao, Tianpei Yang, Hongyao Tang et al.189 citations
- Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven ↗Qiang Zhang, Yaming Zheng, Qiangqiang Yuan et al.189 citations
- Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning ↗Runqing Wang, Gang Wang, Jian Qiao Sun et al.183 citations
- Fast Yet Effective Machine Unlearning ↗Ayush K Tarun, Vikram S Chundawat, Murari Mandal et al.182 citations
- Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications ↗Sai Munikoti, Deepesh Agarwal, Laya Das et al.176 citations
- Towards Fairness-Aware Federated Learning ↗Yuxin Shi, Han Yu, Cyril Leung154 citations
- Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems ↗Taniya Kapoor, Hongrui Wang, Alfredo A. Núñez et al.148 citations
- Projective Incomplete Multi-View Clustering ↗Shijie Deng, Jie Wen, Chengliang Liu et al.147 citations
- CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition ↗Zhiwen Xiao, Huagang Tong, Rong Qu et al.146 citations
- Active Learning for Deep Visual Tracking ↗Di Yuan, Xiaojun Chang, Qiao Liu et al.144 citations
- Information Recovery-Driven Deep Incomplete Multiview Clustering Network ↗Chengliang Liu, Jie Wen, Zhihao Wu et al.142 citations
- LRAF-Net: Long-Range Attention Fusion Network for Visible–Infrared Object Detection ↗Haolong Fu, Wang Shixun, Puhong Duan et al.142 citations
- Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects ↗Lei Ren, Zidi Jia, Yuanjun Laili et al.141 citations
- Few-Shot Object Detection: A Comprehensive Survey ↗Mona Köhler, Markus Eisenbach, Horst–Michael Groß141 citations
- A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data ↗Dongdong Cheng, Ya Li, Shuyin Xia et al.138 citations
See all 988 papers in IEEE Transactions on Neural Networks and Learning Systems 2023 — papers →
Works with our summary in our library (1)
- Deep Model Fusion: A SurveyIEEE Transactions on Neural Networks and Learning SystemsWeishi Li, Yong Peng, Miao Zhang, et al.2023 · 49 citations
Fields
Top authors
🧑🔬Han Hu1 work here · 49 citations🧑🔬Li Shen1 work here · 49 citations🧑🔬Liang Ding1 work here · 49 citations🧑🔬Miao Zhang1 work here · 49 citations🧑🔬Weishi Li1 work here · 49 citations
Top institutions
🎓Beijing Institute of TechnologyBeijing ·
China1 work here🎓Sun Yat-sen UniversityGuangzhou ·
China1 work here🎓National University of Defense TechnologyChangsha ·
China1 work here🏢JingdongBeijing ·
China1 work here
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