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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
PettingZoo: Gym for Multi-Agent Reinforcement Learning
Justin K. Terry, Benjamin Black 외 11명
arXiv (Cornell University)
|
2020
|
146 회 인용
Piecewise Training for Undirected Models
Charles Sutton, Andrew McCallum
arXiv (Cornell University)
|
2012
|
146 회 인용
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
Henry Corrigan-Gibbs, Dan Boneh
arXiv (Cornell University)
|
2017
|
146 회 인용
RepPoints: Point Set Representation for Object Detection
Ze Yang, Shaohui Liu 외 3명
arXiv (Cornell University)
|
2019
|
146 회 인용
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung, Sungho Shin 외 1명
arXiv (Cornell University)
|
2015
|
146 회 인용
Stabilizing the Lottery Ticket Hypothesis
Jonathan Frankle, Gintare Karolina Dziugaite 외 2명
arXiv (Cornell University)
|
2019
|
146 회 인용
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela, Hamed Firooz 외 5명
arXiv (Cornell University)
|
2020
|
146 회 인용
Training Neural Networks Without Gradients: A Scalable ADMM Approach
Gavin Taylor, Ryan Burmeister 외 4명
arXiv (Cornell University)
|
2016
|
146 회 인용
Understanding the Behaviors of BERT in Ranking
Yifan Qiao, Chenyan Xiong 외 2명
arXiv (Cornell University)
|
2019
|
146 회 인용
Unfolding the Alternating Optimization for Blind Super Resolution
Zhengxiong Luo, Yan Huang 외 3명
arXiv (Cornell University)
|
2020
|
146 회 인용
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