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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
Learning both Weights and Connections for Efficient Neural Networks
Song Han, Jeff Pool 외 2명
arXiv (Cornell University)
|
2015
|
666 회 인용
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield, Karen Simonyan 외 2명
arXiv (Cornell University)
|
2014
|
666 회 인용
Autoencoding beyond pixels using a learned similarity metric
Anders Larsen, Søren Kaae Sønderby 외 2명
arXiv (Cornell University)
|
2015
|
663 회 인용
Julia: A Fast Dynamic Language for Technical Computing
Anderson, Todd A., Liu, Hai 외 4명
arXiv (Cornell University)
|
2012
|
662 회 인용
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Forrest Iandola, Song Han 외 4명
arXiv (Cornell University)
|
2016
|
662 회 인용
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Yang Zhao 외 8명
arXiv (Cornell University)
|
2019
|
661 회 인용
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu, Suyog Gupta
arXiv (Cornell University)
|
2017
|
661 회 인용
The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users
Eric Horvitz, Jack Breese 외 3명
arXiv (Cornell University)
|
2013
|
659 회 인용
Tree automata
Ferenc Gécseg
arXiv (Cornell University)
|
1984
|
659 회 인용
word2vec Parameter Learning Explained
Xin Rong
arXiv (Cornell University)
|
2014
|
659 회 인용
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