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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
Learning the Structure of Dynamic Probabilistic Networks
Nir Friedman, Kevin J. Murphy, +1
arXiv (Cornell University)
|
2013
|
571 citations
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar, Razvan Pascanu, +2
arXiv (Cornell University)
|
2014
|
571 citations
Coexistence of Coherence and Incoherence in Nonlocally Coupled Phase Oscillators
Yoshiki Kuramoto, Dorjsuren Battogtokh
arXiv (Cornell University)
|
2002
|
567 citations
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks, Norman Mu, +4
arXiv (Cornell University)
|
2019
|
566 citations
Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James T. Wilson, +3
arXiv (Cornell University)
|
2015
|
565 citations
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, +4
arXiv (Cornell University)
|
2018
|
565 citations
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, +3
arXiv (Cornell University)
|
2015
|
564 citations
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, +2
arXiv (Cornell University)
|
2010
|
563 citations
Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, +1
arXiv (Cornell University)
|
2013
|
563 citations
SIoU Loss: More Powerful Learning for Bounding Box Regression
Zhora Gevorgyan
arXiv (Cornell University)
|
2022
|
563 citations
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