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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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Rigid-Motion Scattering for Texture Classification
Laurent Sifre, Stéphane Mallat
arXiv (Cornell University)
|
2014
|
278 citations
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
Alessio Benavoli, Giorgio Corani, +2
arXiv (Cornell University)
|
2016
|
278 citations
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen, Mi Luo, +3
arXiv (Cornell University)
|
2018
|
277 citations
GhostNetV2: Enhance Cheap Operation with Long-Range Attention
Yehui Tang, Kai Han, +4
arXiv (Cornell University)
|
2022
|
277 citations
GSPBOX: A toolbox for signal processing on graphs
Nathanaël Perraudin, Johan Paratte, +5
arXiv (Cornell University)
|
2014
|
277 citations
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, +2
arXiv (Cornell University)
|
2018
|
277 citations
Understanding disentangling in $β$-VAE
Christopher Burgess, Irina Higgins, +5
arXiv (Cornell University)
|
2018
|
277 citations
A Simulation Model for the Waterfall Software Development Life Cycle
Youssef Bassil
arXiv (Cornell University)
|
2012
|
276 citations
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Robotics Team, Petko Georgiev, +1135
arXiv (Cornell University)
|
2024
|
276 citations
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho, Kyewook Lee, +3
arXiv (Cornell University)
|
2015
|
276 citations
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