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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
Denoising Diffusion Probabilistic Models
Yan, Steven
arXiv (Cornell University)
|
2020
|
5,577 회 인용
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
arXiv (Cornell University)
|
2012
|
5,519 회 인용
Continuous control with deep reinforcement learning
Timothy Lillicrap, Jonathan J. Hunt 외 6명
arXiv (Cornell University)
|
2015
|
5,361 회 인용
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan, Andrew Zisserman
arXiv (Cornell University)
|
2014
|
5,353 회 인용
Quantum cryptography: Public key distribution and coin tossing
C. H. Bennett, Brassard, Gilles
arXiv (Cornell University)
|
2020
|
5,308 회 인용
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim 외 10명
arXiv (Cornell University)
|
2021
|
5,296 회 인용
Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky 외 1명
arXiv (Cornell University)
|
2017
|
5,185 회 인용
Natural Language Processing (almost) from Scratch
Ronan Collobert, Jason Weston 외 4명
arXiv (Cornell University)
|
2011
|
5,175 회 인용
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu 외 5명
arXiv (Cornell University)
|
2013
|
5,113 회 인용
Distributed Representations of Sentences and Documents
Quoc V. Le, Tomáš Mikolov
arXiv (Cornell University)
|
2014
|
5,112 회 인용
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