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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
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das, Madhuri Shanbhogue 외 5명
arXiv (Cornell University)
|
2017
|
242 회 인용
Learnable pooling with Context Gating for video classification
Antoine Miech, Ivan Laptev 외 1명
arXiv (Cornell University)
|
2017
|
242 회 인용
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud 외 78명
arXiv (Cornell University)
|
2021
|
242 회 인용
Stochastic Variance Reduction for Nonconvex Optimization
Sashank J. Reddi, Ahmed Hefny 외 3명
arXiv (Cornell University)
|
2016
|
242 회 인용
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot
Sida Peng, Eirini Kalliamvakou 외 2명
arXiv (Cornell University)
|
2023
|
242 회 인용
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare, Will Dabney 외 1명
arXiv (Cornell University)
|
2017
|
241 회 인용
Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang 외 5명
arXiv (Cornell University)
|
2018
|
241 회 인용
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, Michael M. Bronstein 외 1명
arXiv (Cornell University)
|
2017
|
241 회 인용
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang, Zhiting Hu 외 2명
arXiv (Cornell University)
|
2017
|
241 회 인용
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang, Zongqing Lu
arXiv (Cornell University)
|
2018
|
241 회 인용
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