Elamur Research⌕
☰
home / venues / IEEE Transactions on Neural Networks… / 2023 / papers / page 10

IEEE Transactions on Neural Networks and Learning Systems 2023: all accepted papers

988 papers · page 10 of 10 · the most cited first · ← IEEE Transactions on Neural Networks and Learning Systems 2023

1 … 9 10

  1. Synchronization-Inspired Interpretable Neural Networks ↗Wei Han, Zhili Qin, Jiaming Liu et al.4 citations
  2. TeKo: Text-Rich Graph Neural Networks With External Knowledge ↗Zhizhi Yu, Di Jin, Jianguo Wei et al.4 citations
  3. Toward Less Constrained Macro-Neural Architecture Search ↗Vasco Lopes, Luı́s A. Alexandre4 citations
  4. mFILS: Tri-Selection via Convex and Nonconvex Regularizations ↗Dou El Kefel Mansouri, Khalid Benabdeslem, Seif-Eddine Benkabou et al.4 citations
  5. Distribution Matching for Machine Teaching ↗Xiaofeng Cao, Ivor Wai-Hung Tsang3 citations
  6. Dual-Correction–Adaptation Network for Noisy Knowledge Transfer ↗Yunyun Wang, Weiwen Zheng, Qinghao Li et al.3 citations
  7. Graph-Based Multicentroid Nonnegative Matrix Factorization ↗Chuan Ma, Yingwei Zhang, Chun‐Yi Su3 citations
  8. Learning to Double-Check Model Prediction From a Causal Perspective ↗Xun Deng, Fuli Feng, Xiang Wang et al.3 citations
  9. Local Independence Testing for Point Processes ↗Nikolaj Thams, Niels Richard Hansen3 citations
  10. Quantum Imitation Learning ↗Zhihao Cheng, Kaining Zhang, Li Shen et al.3 citations
  11. Sparse Additive Machine With the Correntropy-Induced Loss ↗Peipei Yuan, Xinge You, Hong Chen et al.3 citations
  12. Combining Optimal Path Search With Task-Dependent Learning in a Neural Network ↗Tomas Kulvičius, Minija Tamošiūnaitė, Florentin Wörgötter2 citations
  13. Deep Hierarchical Multimodal Metric Learning ↗Di Wang, Aqiang Ding, Yumin Tian et al.2 citations
  14. EASpace: Enhanced Action Space for Policy Transfer ↗Zheng Zhang, Qingrui Zhang, Bo Zhu et al.2 citations
  15. Enhancing Distributed Neural Network Training Through Node-Based Communications ↗Sergio Moreno‐Álvarez, Mercedes Eugenia Paoletti, Gabriele Cavallaro et al.2 citations
  16. Online Learning With Uncertain Feedback Graphs ↗Pouya M. Ghari, Yanning Shen2 citations
  17. Optimizing for In-Memory Deep Learning With Emerging Memory Technology ↗Zhehui Wang, Tao Luo, Rick Siow Mong Goh et al.2 citations
  18. SIIR: Symmetrical Information Interaction Modeling for News Recommendation ↗Zhonghong Ou, Zongzhi Han, Peihang Liu et al.2 citations
  19. Taming Overconfident Prediction on Unlabeled Data From Hindsight ↗Jing Li, Yuangang Pan, Ivor Wai-Hung Tsang2 citations
  20. The Q-Fractionalism Reasoning Learning Method ↗Mehran Mazandarani, Jianfei Pan2 citations
  21. Understanding Short-Range Memory Effects in Deep Neural Networks ↗Chengli Tan, Jiangshe Zhang, Junmin Liu2 citations
  22. Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals ↗Shubham Pateria, Budhitama Subagdja, Ah‐Hwee Tan et al.2 citations
  23. Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust ↗Hossein Babaei, Sina Alemohammad, Richard G. Baraniuk1 citation
  24. Deep Convolutional Tables: Deep Learning Without Convolutions ↗Shay Dekel, Yosi Keller, Aharon Bar-Hillel1 citation
  25. Gray Learning From Non-IID Data With Out-of-Distribution Samples ↗Zhilin Zhao, Longbing Cao, Chang‐Dong Wang1 citation
  26. Lite It Fly: An All-Deformable-Butterfly Network ↗Rui Lin, Jason Chun Lok Li, Jiajun Zhou et al.1 citation
  27. New Scalable and Efficient Online Pairwise Learning Algorithm ↗Bin Gu, Runxue Bao, Chenkang Zhang et al.1 citation
  28. Theoretical Exploration of Flexible Transmitter Model ↗Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang et al.1 citation
  29. Tuned Compositional Feature Replays for Efficient Stream Learning ↗Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri et al.1 citation
  30. Asymptotic Behavior of Adversarial Training in Binary Linear Classification ↗Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
  31. Enhancing Distributed Neural Network Training Through Node-Based Communications ↗Moreno-Álvarez, Sergio, Paoletti, Mercedes E., Gabriele Cavallaro et al.
  32. Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences ↗António R. C. Paiva, Weichang Li, Chris A. Mattmann et al.
  33. Guest Editorial: Special Issue on Stream Learning ↗Jie Lü, João Manuel Portela da Gama, Xin Yao et al.

1 … 9 10

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-neural-networks-and-learning-systems/2023/papers/page/10/