Elamur Research⌕
☰
home / venues / Neural Networks / 2023 / papers / page 5

Neural Networks 2023: all accepted papers

643 papers · page 5 of 7 · the most cited first · ← Neural Networks 2023

1 … 4 5 6 7

  1. Dominating Set Model Aggregation for Communication-Efficient Decentralized Deep Learning ↗Fateme Fotouhi, Aditya Balu, Zhanhong Jiang et al.11 citations
  2. Dual memory model for experience-once task-incremental lifelong learning ↗Gehua Ma, Runhao Jiang, Lang Wang et al.11 citations
  3. Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond ↗Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni et al.11 citations
  4. Meta-structure-based graph attention networks ↗Jin Li, Qingyu Sun, Feng Zhang et al.11 citations
  5. Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers ↗Alexandre Lemire Paquin, Brahim Chaib-draa, Philippe Giguère11 citations
  6. TL-ADA: Transferable Loss-based Active Domain Adaptation ↗Kyeongtak Han, Youngeun Kim, Dongyoon Han et al.11 citations
  7. VC dimensions of group convolutional neural networks ↗Philipp Petersen, Anna Sepliarskaia11 citations
  8. Video summarization for event-centric videos ↗Qingwen Li, Jianni Chen, Qiqin Xie et al.11 citations
  9. A bio-inspired positional embedding network for transformer-based models ↗Xue‐song Tang, Kuangrong Hao, Hui Wei10 citations
  10. ATNAS: Automatic Termination for Neural Architecture Search ↗Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato et al.10 citations
  11. Bidirectionally self-normalizing neural networks ↗Yao Lu, Stephen Gould, Thalaiyasingam Ajanthan10 citations
  12. Deterministic learning-based neural identification and knowledge fusion ↗Weiming Wu, Jingtao Hu, Zejian Zhu et al.10 citations
  13. Domain-informed graph neural networks: A quantum chemistry case study ↗Jay Morgan, Adeline Paiement, Christian Klinke10 citations
  14. Few-shot image generation with reverse contrastive learning ↗Yao Gou, Min Li, Yusen Zhang et al.10 citations
  15. Long-range zero-shot generative deep network quantization ↗Yan Luo, Yangcheng Gao, Zhao Zhang et al.10 citations
  16. Modeling limit order trading with a continuous action policy for deep reinforcement learning ↗Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas10 citations
  17. Regularizing transformers with deep probabilistic layers ↗Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodrı́guez et al.10 citations
  18. A recurrent Hopfield network for estimating meso-scale effective connectivity in MEG ↗Giorgio Gosti, Edoardo Milanetti, Viola Folli et al.9 citations
  19. Adaptive pseudo-Siamese policy network for temporal knowledge prediction ↗Pengpeng Shao, Tong Liu, Feihu Che et al.9 citations
  20. Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems ↗Yeshwanth Venkatesha, Youngeun Kim, Hyoungseob Park et al.9 citations
  21. Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning ↗Chunpeng Zhou, Haishuai Wang, Sheng Zhou et al.9 citations
  22. Improved prediction of behavioral and neural similarity spaces using pruned DNNs ↗Priya Tarigopula, Scott Laurence Fairhall, Anna Bavaresco et al.9 citations
  23. Inhibitory stabilized network behaviour in a balanced neural mass model of a cortical column ↗Parvin Zarei Eskikand, Artemio Soto-Breceda, Mark Cook et al.9 citations
  24. Learning matrix factorization with scalable distance metric and regularizer ↗Shiping Wang, Yunhe Zhang, Xincan Lin et al.9 citations
  25. VISAL—A novel learning strategy to address class imbalance ↗Sree Rama Vamsidhar S, Arun Kumar Sivapuram, Vaishnavi Ravi et al.9 citations
  26. Zero time waste in pre-trained early exit neural networks ↗Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski et al.9 citations
  27. A feedforward unitary equivariant neural network ↗Pui-Wai Ma, T-H. Hubert Chan8 citations
  28. Conditioned Cooperative training for semi-supervised weapon detection ↗Jose L. Salazar González, Juan A. Álvarez-García, Fernando J. Rendón-Segador et al.8 citations
  29. Corruption depth: Analysis of DNN depth for misclassification ↗Akshay Agarwal, Mayank Vatsa A, Richa Singh et al.8 citations
  30. Cross-domain policy adaptation with dynamics alignment ↗Haiyuan Gui, Shanchen Pang, Shihang Yu et al.8 citations
  31. Learning domain invariant representations by joint Wasserstein distance minimization ↗Léo Andéol, Yusei Kawakami, Yuichiro Wada et al.8 citations
  32. Mathematical expression recognition using a new deep neural model ↗Abolfazl Mirkazemy, Peyman Adibi, Seyed Mohhamad Saied Ehsani et al.8 citations
  33. Meta attention for Off-Policy Actor-Critic ↗Jiateng Huang, Wanrong Huang, Long Lan et al.8 citations
  34. On the value of label and semantic information in domain generalization ↗Fan Zhou, Yuyi Chen, Shichun Yang et al.8 citations
  35. TIToK: A solution for bi-imbalanced unsupervised domain adaptation ↗Yunyun Wang, Quchuan Chen, Yao Liu et al.8 citations
  36. To understand double descent, we need to understand VC theory ↗Vladimir Cherkassky, Eng Hock Lee8 citations
  37. A survey of sum–product networks structural learning ↗Riting Xia, Yan Zhang, Xueyan Liu et al.7 citations
  38. Approximate spectral decomposition of Fisher information matrix for simple ReLU networks ↗Yoshinari Takeishi, Masazumi Iida, Jun’ichi Takeuchi7 citations
  39. Automatic selection of spoken language biomarkers for dementia detection ↗Xiaoquan Ke, Man‐Wai Mak, Helen M. L. Meng7 citations
  40. Bridged adversarial training ↗Hoki Kim, Woojin Lee, Sungyoon Lee et al.7 citations
  41. Continual learning with invertible generative models ↗Jary Pomponi, Simone Scardapane, Aurelio Uncini7 citations
  42. Distorted image classification using neural activation pattern matching loss ↗Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida et al.7 citations

1 … 4 5 6 7

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-networks/2023/papers/page/5/