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