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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
Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba
UvA-DARE (University of Amsterdam)
|
2014
|
84,466 회 인용
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan, Andrew Zisserman
arXiv (Cornell University)
|
2014
|
75,407 회 인용
Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux 외 17명
arXiv (Cornell University)
|
2012
|
63,388 회 인용
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe, Christian Szegedy
arXiv (Cornell University)
|
2015
|
24,246 회 인용
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer 외 10명
arXiv (Cornell University)
|
2020
|
21,341 회 인용
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He 외 2명
arXiv (Cornell University)
|
2015
|
18,219 회 인용
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov, Kai Chen 외 2명
arXiv (Cornell University)
|
2013
|
18,070 회 인용
Distributed Representations of Words and Phrases and their Compositionality
Tomáš Mikolov, Ilya Sutskever 외 3명
arXiv (Cornell University)
|
2013
|
18,060 회 인용
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross 외 19명
arXiv (Cornell University)
|
2019
|
16,163 회 인용
Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling
UvA-DARE (University of Amsterdam)
|
2013
|
15,549 회 인용
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