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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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Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng, Judy Hoffman, +3
arXiv (Cornell University)
|
2014
|
2,349 citations
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
arXiv (Cornell University)
|
2010
|
2,337 citations
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, +1
arXiv (Cornell University)
|
2015
|
2,311 citations
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, +2
arXiv (Cornell University)
|
2017
|
2,309 citations
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, +2
arXiv (Cornell University)
|
2018
|
2,304 citations
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu, Naiyan Wang, +2
arXiv (Cornell University)
|
2015
|
2,287 citations
Recurrent Neural Network Regularization
Wojciech Zaremba, Ilya Sutskever, +1
arXiv (Cornell University)
|
2014
|
2,276 citations
Recurrent Models of Visual Attention
Volodymyr Mnih, Nicolas Heess, +2
arXiv (Cornell University)
|
2014
|
2,273 citations
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, +3
arXiv (Cornell University)
|
2018
|
2,267 citations
A Tutorial on Principal Component Analysis
Jonathon Shlens
arXiv (Cornell University)
|
2014
|
2,265 citations
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