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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
WebotsTM: Professional Mobile Robot Simulation
Olivier Michel
ArXiv.org
|
2004
|
119 회 인용
When to Trust Your Model: Model-Based Policy Optimization
Michael Jänner, Justin Fu 외 2명
arXiv (Cornell University)
|
2019
|
119 회 인용
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat, Georgios Tzimiropoulos
arXiv (Cornell University)
|
2019
|
119 회 인용
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl, Kuan-Chieh Wang 외 4명
arXiv (Cornell University)
|
2019
|
119 회 인용
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica, Marco Podda 외 2명
arXiv (Cornell University)
|
2019
|
118 회 인용
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
Daphne Koller, Uri Lerner 외 1명
arXiv (Cornell University)
|
2013
|
118 회 인용
A scikit-based Python environment for performing multi-label classification
Piotr Szymański, Tomasz Kajdanowicz
arXiv (Cornell University)
|
2017
|
118 회 인용
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman 외 4명
arXiv (Cornell University)
|
2019
|
118 회 인용
Annealed Importance Sampling
Radford M. Neal
ArXiv.org
|
1998
|
118 회 인용
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
William J. Murdoch, Peter J. Liu 외 1명
arXiv (Cornell University)
|
2018
|
118 회 인용
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