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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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A Framework for Sequential Planning in Multi-Agent Settings
Prashant Doshi, Piotr J. Gmytrasiewicz
arXiv (Cornell University)
|
2011
|
365 citations
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi, Hongseok Namkoong, +4
arXiv (Cornell University)
|
2018
|
365 citations
Deep Reinforcement Learning that Matters
Peter Henderson, Riashat Islam, +4
arXiv (Cornell University)
|
2017
|
364 citations
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa, Pang Wei Koh, +2
arXiv (Cornell University)
|
2019
|
364 citations
Fast-SCNN: Fast Semantic Segmentation Network
Rudra P. K. Poudel, Stephan Liwicki, +1
arXiv (Cornell University)
|
2019
|
364 citations
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua, +1
arXiv (Cornell University)
|
2017
|
364 citations
Jellyfish: Networking Data Centers Randomly
Ankit Singla, Chi-Yao Hong, +2
arXiv (Cornell University)
|
2011
|
364 citations
Parameter Space Noise for Exploration
Matthias Plappert, Rein Houthooft, +7
arXiv (Cornell University)
|
2017
|
364 citations
Axial Attention in Multidimensional Transformers
Jonathan Ho, Nal Kalchbrenner, +2
arXiv (Cornell University)
|
2019
|
363 citations
Personalized Federated Learning: A Meta-Learning Approach
Alireza Fallah, Aryan Mokhtari, +1
arXiv (Cornell University)
|
2020
|
363 citations
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