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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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Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, +3
arXiv (Cornell University)
|
2018
|
250 citations
Improved Precision and Recall Metric for Assessing Generative Models
Tuomas Kynkäänniemi, Tero Karras, +3
arXiv (Cornell University)
|
2019
|
250 citations
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
Rie Johnson, Tong Zhang
arXiv (Cornell University)
|
2015
|
250 citations
A Kernel Method for the Two-Sample Problem
Arthur Gretton, Karsten Borgwardt, +3
ArXiv.org
|
2008
|
249 citations
Behavior Regularized Offline Reinforcement Learning
Yifan Wu, George Tucker, +1
arXiv (Cornell University)
|
2019
|
249 citations
Hierarchical Multiscale Recurrent Neural Networks
Jun‐Young Chung, Sungjin Ahn, +1
arXiv (Cornell University)
|
2016
|
249 citations
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang, Vishwanath A. Sindagi, +1
arXiv (Cornell University)
|
2017
|
249 citations
Importance Weighted Autoencoders
Yuri Burda
arXiv (Cornell University)
|
2015
|
249 citations
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Ali Shafahi, Wei Huang, +5
arXiv (Cornell University)
|
2018
|
249 citations
Population Based Training of Neural Networks
Max Jaderberg, Valentin Dalibard, +10
arXiv (Cornell University)
|
2017
|
249 citations
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