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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia, Tongliang Liu, +5
arXiv (Cornell University)
|
2019
|
142 citations
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He, Zhang Zhi, +4
arXiv (Cornell University)
|
2018
|
142 citations
Causes and Explanations: A Structural-Model Approach --- Part 1: Causes
Joseph Y. Halpern, Pearl, Judea
arXiv (Cornell University)
|
2013
|
142 citations
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks
Reinhard Heckel, Paul Hand
arXiv (Cornell University)
|
2018
|
142 citations
Deep Kalman Filters
Rahul G. Krishnan, Uri Shalit, +1
arXiv (Cornell University)
|
2015
|
142 citations
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen, Lili Su, +1
arXiv (Cornell University)
|
2017
|
142 citations
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El Sallab, Mohammed Abdou, +2
arXiv (Cornell University)
|
2016
|
142 citations
Improved Techniques for Training Score-Based Generative Models
Yang Song, Stefano Ermon
arXiv (Cornell University)
|
2020
|
142 citations
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva, Leila Wehbe
arXiv (Cornell University)
|
2019
|
142 citations
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar, Zeming Lin, +4
arXiv (Cornell University)
|
2017
|
142 citations
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