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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
Vision Meets Drones: Past, Present and Future
Pengfei Zhu, Longyin Wen 외 4명
arXiv (Cornell University)
|
2020
|
140 회 인용
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija, Bryan Perozzi 외 2명
arXiv (Cornell University)
|
2017
|
140 회 인용
Why gradient clipping accelerates training: A theoretical justification for adaptivity
Jingzhao Zhang, Tianxing He 외 2명
arXiv (Cornell University)
|
2019
|
140 회 인용
A Lightened CNN for Deep Face Representation
Xiang Wu, Ran He 외 1명
arXiv (Cornell University)
|
2015
|
139 회 인용
A Lyapunov Analysis of Momentum Methods in Optimization
Ashia Wilson, Benjamin Recht 외 1명
arXiv (Cornell University)
|
2016
|
139 회 인용
A Vehicle for Research: Using Street Sweepers to Explore the Landscape of Environmental Community Action
Paul M. Aoki, R.J. Honicky 외 5명
arXiv (Cornell University)
|
2009
|
139 회 인용
An Empirical Model of Large-Batch Training
Sam McCandlish, Jared Kaplan 외 2명
arXiv (Cornell University)
|
2018
|
139 회 인용
Combinatorial Optimization by Graph Pointer Networks and Hierarchical Reinforcement Learning
Qiang Ma, Suwen Ge 외 3명
arXiv (Cornell University)
|
2019
|
139 회 인용
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
Irina Higgins, Arka Pal 외 7명
arXiv (Cornell University)
|
2017
|
139 회 인용
Distributed Gaussian Processes
Marc Peter Deisenroth, Jun Wei Ng
arXiv (Cornell University)
|
2015
|
139 회 인용
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