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Computer Science 논문 리뷰
Computer Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
9999+개의 결과
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng, Judy Hoffman 외 3명
arXiv (Cornell University)
|
2014
|
2,349 회 인용
Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory
Sumio Watanabe
arXiv (Cornell University)
|
2010
|
2,337 회 인용
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner 외 1명
arXiv (Cornell University)
|
2015
|
2,311 회 인용
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park 외 2명
arXiv (Cornell University)
|
2017
|
2,309 회 인용
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka 외 2명
arXiv (Cornell University)
|
2018
|
2,304 회 인용
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu, Naiyan Wang 외 2명
arXiv (Cornell University)
|
2015
|
2,287 회 인용
Recurrent Neural Network Regularization
Wojciech Zaremba, Ilya Sutskever 외 1명
arXiv (Cornell University)
|
2014
|
2,276 회 인용
Recurrent Models of Visual Attention
Volodymyr Mnih, Nicolas Heess 외 2명
arXiv (Cornell University)
|
2014
|
2,273 회 인용
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard 외 3명
arXiv (Cornell University)
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2018
|
2,267 회 인용
A Tutorial on Principal Component Analysis
Jonathon Shlens
arXiv (Cornell University)
|
2014
|
2,265 회 인용
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