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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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Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Gregor Urban, Krzysztof J. Geras, +7
PolyPublie (École Polytechnique de Montréal)
|
2016
|
107 citations
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li, Yarin Gal
arXiv (Cornell University)
|
2017
|
107 citations
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
Richard S. Sutton, Csaba Szepesvári, +2
arXiv (Cornell University)
|
2012
|
107 citations
Eccentric Connectivity Index of Chemical Trees
Aleksandar Ili ' c, İvan Gutman
arXiv (Cornell University)
|
2011
|
107 citations
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort, Jie Ren, +1
arXiv (Cornell University)
|
2021
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107 citations
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel, Taner Topal, +9
arXiv (Cornell University)
|
2020
|
107 citations
Generating News Headlines with Recurrent Neural Networks
Konstantin Lopyrev
arXiv (Cornell University)
|
2015
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107 citations
Incorporating Nuisance Parameters in Likelihoods for Multisource Spectra
J. S. Conway
arXiv (Cornell University)
|
2011
|
107 citations
Introduction to Arithmetic Coding -- Theory and Practice
Amir Said
arXiv (Cornell University)
|
2023
|
107 citations
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
Rakshit Trivedi, Hanjun Dai, +2
arXiv (Cornell University)
|
2017
|
107 citations
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