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Neural Networks 2023: all accepted papers

643 papers · page 4 of 7 · the most cited first · ← Neural Networks 2023

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  1. A domain-agnostic approach for characterization of lifelong learning systems ↗Megan M. Baker, Alexander New, Mario Aguilar et al.17 citations
  2. An accelerated end-to-end method for solving routing problems ↗Tianyu Zhu, Xinli Shi, Xiangping Xu et al.17 citations
  3. An adaptive embedding procedure for time series forecasting with deep neural networks ↗Federico Succetti, Antonello Rosato, Massimo Panella17 citations
  4. Fractional derivative based weighted skip connections for satellite image road segmentation ↗Sugandha Arora, Harsh Kumar Suman, Trilok Mathur et al.17 citations
  5. IoUformer: Pseudo-IoU prediction with transformer for visual tracking ↗Huayue Cai, Long Lan, Jing Zhang et al.17 citations
  6. Node injection for class-specific network poisoning ↗Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda et al.17 citations
  7. Optimizing dense feed-forward neural networks ↗Luis Balderas, Miguel Lastra, José M. Benítez17 citations
  8. Cross-modal hashing with missing labels ↗Haomin Ni, Jianjun Zhang, Peipei Kang et al.16 citations
  9. Improving Differentiable Architecture Search via self-distillation ↗Xunyu Zhu, Jian Li, Yong Liu et al.16 citations
  10. Lifelong Text-Audio Sentiment Analysis learning ↗Yu‐Ting Lin, Peng Ji, Xiuyi Chen et al.16 citations
  11. Model-free forecasting of partially observable spatiotemporally chaotic systems ↗Vikrant Gupta, Larry K.B. Li, Shiyi Chen et al.16 citations
  12. Neural networks with ReLU powers need less depth ↗Kurt Izak Cabanilla, Rhudaina Z. Mohammad, Jose Ernie C. Lope16 citations
  13. On the compression of neural networks using ℓ 0 -norm regularization and weight pruning ↗Felipe Dennis de Resende Oliveira, Eduardo Luiz Ortiz Batista, Rui Seara16 citations
  14. OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning ↗Chu Myaet Thwal, Minh N. H. Nguyen, Ye Lin Tun et al.16 citations
  15. A look into feedback neural computation upon collision selectivity ↗Zefang Chang, Qinbing Fu, Hao Chen et al.15 citations
  16. Deep graph reconstruction for multi-view clustering ↗Mingyu Zhao, Weidong Yang, Feiping Nie15 citations
  17. Exploring the role of edge distribution in graph convolutional networks ↗Liancheng He, Liang Bai, Xian Feng Yang et al.15 citations
  18. Adaptive-weighted deep multi-view clustering with uniform scale representation ↗Rui Chen, Yongqiang Tang, Wensheng Zhang et al.14 citations
  19. Contrastive self-representation learning for data clustering ↗Wenhui Zhao, Quanxue Gao, Shikun Mei et al.14 citations
  20. DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing ↗Jiun-Da Lin, Yue-Hua Han, Po‐Han Huang et al.14 citations
  21. Graph embedding based multi-label Zero-shot Learning ↗Haigang Zhang, Xianglong Meng, Weipeng Cao et al.14 citations
  22. Teacher–student complementary sample contrastive distillation ↗Zhiqiang Bao, Zhenhua Huang, Jianping Gou et al.14 citations
  23. Adams-based hierarchical features fusion network for image dehazing ↗Shibai Yin, Shuhao Hu, Y. N. Wang et al.13 citations
  24. De Rham compatible Deep Neural Network FEM ↗Marcello Longo, Joost A. A. Opschoor, Nico Disch et al.13 citations
  25. Online continual learning with declarative memory ↗Zhe Xiao, Zhekai Du, Ruijin Wang et al.13 citations
  26. RASP: Regularization-based Amplitude Saliency Pruning ↗Chenghui Zhen, Weiwei Zhang, Jian Mo et al.13 citations
  27. SPIDE: A purely spike-based method for training feedback spiking neural networks ↗Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.13 citations
  28. Safe control of logical control networks with random impulses ↗Rongpei Zhou, Yuqian Guo, Yuhao Wang et al.13 citations
  29. Trustworthy Medical Image Segmentation with improved performance for in-distribution samples ↗Sneha Shukla, Lokendra Birla, Anup Kumar Gupta et al.13 citations
  30. Collaborative neurodynamic optimization for solving nonlinear equations ↗Huimin Guan, Yang Liu, Kit Ian Kou et al.12 citations
  31. DyVGRNN: DYnamic mixture Variational Graph Recurrent Neural Networks ↗Ghazaleh Niknam, Soheila Molaei, Hadi Zare et al.12 citations
  32. Edge computing on TPU for brain implant signal analysis ↗János Rokai, István Ulbert, Gergely Márton12 citations
  33. Gradient-aware learning for joint biases: Label noise and class imbalance ↗Shichuan Zhang, Chenglu Zhu, Honglin Li et al.12 citations
  34. IASA: An IoU-aware tracker with adaptive sample assignment ↗Kai Yang, Haijun Zhang, Dongliang Zhou et al.12 citations
  35. LaenNet: Learning robust GCNs by propagating labels ↗Chunxu Zhang, Ximing Li, Hongbin Pei et al.12 citations
  36. Neurodynamic approaches for multi-agent distributed optimization ↗Luyao Guo, Iakov Korovin, Sergey Viktorovich Gorbachev et al.12 citations
  37. Self-supervised depth super-resolution with contrastive multiview pre-training ↗Xin Qiao, Chenyang Ge, Chaoqiang Zhao et al.12 citations
  38. ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation ↗Boxiang Zhang, Zunran Wang, Yonggen Ling et al.12 citations

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