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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
Conditional Adversarial Domain Adaptation
Mingsheng Long, Zhangjie Cao 외 2명
arXiv (Cornell University)
|
2017
|
1,428 회 인용
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata 외 4명
arXiv (Cornell University)
|
2016
|
1,424 회 인용
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara, Matthieu Courbariaux 외 3명
arXiv (Cornell University)
|
2016
|
1,420 회 인용
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel 외 1명
arXiv (Cornell University)
|
2016
|
1,415 회 인용
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu, Himalaya Jain 외 3명
arXiv (Cornell University)
|
2018
|
1,403 회 인용
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek 외 56명
arXiv (Cornell University)
|
2021
|
1,403 회 인용
Neural Architecture Search: A Survey
Thomas Elsken, Jan Hendrik Metzen 외 1명
arXiv (Cornell University)
|
2018
|
1,401 회 인용
Frustratingly Easy Domain Adaptation
Hal Daumé
ArXiv.org
|
2009
|
1,394 회 인용
Learning deep representations by mutual information estimation and maximization
R Devon Hjelm, Alex Fedorov 외 5명
arXiv (Cornell University)
|
2018
|
1,393 회 인용
End-to-End Training of Deep Visuomotor Policies
Sergey Levine, Chelsea Finn 외 2명
arXiv (Cornell University)
|
2015
|
1,390 회 인용
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