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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
A Framework for Sequential Planning in Multi-Agent Settings
Prashant Doshi, Piotr J. Gmytrasiewicz
arXiv (Cornell University)
|
2011
|
365 회 인용
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi, Hongseok Namkoong 외 4명
arXiv (Cornell University)
|
2018
|
365 회 인용
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam 외 4명
arXiv (Cornell University)
|
2017
|
364 회 인용
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa, Pang Wei Koh 외 2명
arXiv (Cornell University)
|
2019
|
364 회 인용
Fast-SCNN: Fast Semantic Segmentation Network
Rudra P. K. Poudel, Stephan Liwicki 외 1명
arXiv (Cornell University)
|
2019
|
364 회 인용
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua 외 1명
arXiv (Cornell University)
|
2017
|
364 회 인용
Jellyfish: Networking Data Centers Randomly
Ankit Singla, Chi-Yao Hong 외 2명
arXiv (Cornell University)
|
2011
|
364 회 인용
Parameter Space Noise for Exploration
Matthias Plappert, Rein Houthooft 외 7명
arXiv (Cornell University)
|
2017
|
364 회 인용
Axial Attention in Multidimensional Transformers
Jonathan Ho, Nal Kalchbrenner 외 2명
arXiv (Cornell University)
|
2019
|
363 회 인용
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah, Aryan Mokhtari 외 1명
arXiv (Cornell University)
|
2020
|
363 회 인용
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