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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
Problems with Shapley-value-based explanations as feature importance measures
I. Elizabeth Kumar, Suresh Venkatasubramanian 외 2명
arXiv (Cornell University)
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2020
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109 회 인용
Ray RLLib: A Composable and Scalable Reinforcement Learning Library
Eric Liang, Richard Liaw 외 6명
arXiv (Cornell University)
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2017
|
109 회 인용
Rethinking on Multi-Stage Networks for Human Pose Estimation
Wenbo Li, Zhicheng Wang 외 8명
arXiv (Cornell University)
|
2019
|
109 회 인용
Scene Text Detection and Recognition: The Deep Learning Era
Shangbang Long, Xin He 외 1명
arXiv (Cornell University)
|
2018
|
109 회 인용
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu, Matej Vecerík 외 4명
arXiv (Cornell University)
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2016
|
109 회 인용
Sparse Stochastic Inference for Latent Dirichlet allocation
David Mimno, Matt Hoffman 외 1명
arXiv (Cornell University)
|
2012
|
109 회 인용
Spreadsheet Errors: What We Know. What We Think We Can Do
Raymond R. Panko
ArXiv.org
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2008
|
109 회 인용
Structure-measure: A New Way to Evaluate Foreground Maps
Deng-Ping Fan, Ming‐Ming Cheng 외 3명
arXiv (Cornell University)
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2017
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109 회 인용
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Chao Yu, Akash Velu 외 4명
arXiv (Cornell University)
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2021
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109 회 인용
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu, Yizhe Zhu 외 2명
arXiv (Cornell University)
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2021
|
109 회 인용
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