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