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Authors Journal Volume Issue Page Year PKV Page view
361 Generalization Guarantees of Gradient Descent for Shallow Neural Networks
Puyu Wang, Yunwen Lei, Di Wang, Yiming Ying, Ding-Xuan Zhou Neural Computation 37 2 344–402 2025 34.72
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362 The Information Bottleneck and Geometric Clustering
DJ Strouse, David J. Schwab Neural Computation 31 3 596–612 2019 34.71
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363 Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun Neural Computation 31 11 2266–2291 2019 34.71
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364 Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus
Yunhua Chen, Yingchao Mai, Jinsheng Xiao, Ling Zhang Neural Computation 31 6 1215–1233 2019 34.66
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365 Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks
Shuo Huang, Junyu Zhou, Han Feng, Ding-Xuan Zhou Neural Computation 35 6 1135–1158 2023 34.59
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366 New Insights Into Learning With Correntropy-Based Regression
Yunlong Feng Neural Computation 33 1 157–173 2021 34.56
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367 A Combinatorial Model for Dentate Gyrus Sparse Coding
William Severa, Ojas Parekh, Conrad D. James, James B. Aimone Neural Computation 29 1 94–117 2017 34.55
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368 Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures
Naoki Hiratani, Haim Sompolinsky Neural Computation 35 2 105–155 2023 34.53
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369 Modeling the Correlated Activity of Neural Populations: A Review
Christophe Gardella, Olivier Marre, Thierry Mora Neural Computation 31 2 233–269 2019 34.53
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370 Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning
Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling Neural Computation 31 12 2293–2323 2019 34.5
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