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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
Multi-class Generative Adversarial Networks with the L2 Loss Function.
Xudong Mao, Qing Li 외 3명
arXiv (Cornell University)
|
2016
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149 회 인용
Quantum computing and the entanglement frontier
John Preskill
arXiv (Cornell University)
|
2012
|
149 회 인용
Scaling Laws for Autoregressive Generative Modeling
Tom Henighan, Jared Kaplan 외 17명
arXiv (Cornell University)
|
2020
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149 회 인용
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan, Tao Xu 외 23명
arXiv (Cornell University)
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2022
|
149 회 인용
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial
Benyamin Ghojogh, Mark Crowley
arXiv (Cornell University)
|
2019
|
149 회 인용
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi 외 2명
arXiv (Cornell University)
|
2018
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149 회 인용
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang 외 3명
arXiv (Cornell University)
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2017
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149 회 인용
VideoBERT: A Joint Model for Video and Language Representation Learning
Chen Sun, Austin Myers 외 3명
arXiv (Cornell University)
|
2019
|
149 회 인용
Virtual to Real Reinforcement Learning for Autonomous Driving
Xinlei Pan, Yurong You 외 2명
arXiv (Cornell University)
|
2017
|
149 회 인용
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang 외 3명
arXiv (Cornell University)
|
2019
|
148 회 인용
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