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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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9999+ results
WebotsTM: Professional Mobile Robot Simulation
Olivier Michel
ArXiv.org
|
2004
|
119 citations
When to Trust Your Model: Model-Based Policy Optimization
Michael Jänner, Justin Fu, +2
arXiv (Cornell University)
|
2019
|
119 citations
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat, Georgios Tzimiropoulos
arXiv (Cornell University)
|
2019
|
119 citations
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl, Kuan-Chieh Wang, +4
arXiv (Cornell University)
|
2019
|
119 citations
A Fair Comparison of Graph Neural Networks for Graph Classification
Federico Errica, Marco Podda, +2
arXiv (Cornell University)
|
2019
|
118 citations
A General Algorithm for Approximate Inference and its Application to Hybrid Bayes Nets
Daphne Koller, Uri Lerner, +1
arXiv (Cornell University)
|
2013
|
118 citations
A scikit-based Python environment for performing multi-label classification
Piotr Szymański, Tomasz Kajdanowicz
arXiv (Cornell University)
|
2017
|
118 citations
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon, Shivaram Venkataraman, +4
arXiv (Cornell University)
|
2019
|
118 citations
Annealed Importance Sampling
Radford M. Neal
ArXiv.org
|
1998
|
118 citations
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
William J. Murdoch, Peter J. Liu, +1
arXiv (Cornell University)
|
2018
|
118 citations
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