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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
Topological interactions in broken gauge theories
Mark de Wild Propitius
ArXiv.org
|
1995
|
113 회 인용
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd, Zachary C. Lipton
arXiv (Cornell University)
|
2018
|
113 회 인용
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles, Matthijs Douze 외 3명
arXiv (Cornell University)
|
2019
|
113 회 인용
A Neural Knowledge Language Model
Sungjin Ahn, Heeyoul Choi 외 2명
arXiv (Cornell University)
|
2016
|
112 회 인용
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
Dan Hendrycks, Thomas G. Dietterich
arXiv (Cornell University)
|
2018
|
112 회 인용
Boundary-Seeking Generative Adversarial Networks
R Devon Hjelm, Athul Paul Jacob 외 4명
arXiv (Cornell University)
|
2017
|
112 회 인용
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Qiang Liu, Lihong Li 외 2명
arXiv (Cornell University)
|
2018
|
112 회 인용
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk 외 2명
arXiv (Cornell University)
|
2019
|
112 회 인용
Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka 외 3명
arXiv (Cornell University)
|
2013
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112 회 인용
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection
Andrea Paudice, Luis Muñoz-González 외 2명
arXiv (Cornell University)
|
2018
|
112 회 인용
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