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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
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach, Éric Moulines
arXiv (Cornell University)
|
2013
|
228 회 인용
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun, Henrik Kretzschmar 외 23명
arXiv (Cornell University)
|
2019
|
228 회 인용
Stacked What-Where Auto-encoders
Junbo Zhao, Michaël Mathieu 외 2명
arXiv (Cornell University)
|
2015
|
228 회 인용
Unsupervised Learning of Disentangled Representations from Video
Emily Denton, Vighnesh Birodkar
arXiv (Cornell University)
|
2017
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228 회 인용
A Simple, Fast Diverse Decoding Algorithm for Neural Generation
Jiwei Li, Will Monroe 외 1명
arXiv (Cornell University)
|
2016
|
227 회 인용
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov, D. A. Podoprikhin 외 3명
arXiv (Cornell University)
|
2018
|
227 회 인용
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables
Kate Rakelly, Aurick Zhou 외 3명
arXiv (Cornell University)
|
2019
|
227 회 인용
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu, Karen Simonyan 외 3명
arXiv (Cornell University)
|
2017
|
227 회 인용
One-Shot Imitation Learning
Yan Duan, Marcin Andrychowicz 외 6명
arXiv (Cornell University)
|
2017
|
227 회 인용
Security and Privacy on Blockchain
Rui Zhang, Rui Xue 외 1명
arXiv (Cornell University)
|
2019
|
227 회 인용
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