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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
Variational Graph Auto-Encoders
Thomas Kipf, Max Welling
arXiv (Cornell University)
|
2016
|
897 회 인용
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun, Ding Liang 외 2명
arXiv (Cornell University)
|
2015
|
895 회 인용
Comparative Study of CNN and RNN for Natural Language Processing
Wenpeng Yin, Katharina Kann 외 2명
arXiv (Cornell University)
|
2017
|
894 회 인용
Energy-based Generative Adversarial Network
Junbo Zhao, Michaël Mathieu 외 1명
arXiv (Cornell University)
|
2016
|
893 회 인용
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel, Jonas Rauber 외 1명
arXiv (Cornell University)
|
2017
|
889 회 인용
Visualizing and Understanding Recurrent Networks
Andrej Karpathy, Justin Johnson 외 1명
arXiv (Cornell University)
|
2015
|
888 회 인용
When Does Label Smoothing Help?
Rafael Rios Müller, Simon Kornblith 외 1명
arXiv (Cornell University)
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2019
|
884 회 인용
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou 외 2명
arXiv (Cornell University)
|
2017
|
882 회 인용
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
Yanping Huang, Youlong Cheng 외 9명
arXiv (Cornell University)
|
2018
|
881 회 인용
Conv-Linformer: Boosting Linformer's Performance with Convolution in Small-Scale Settings
Sinong Wang, Belinda Z. Li 외 3명
arXiv (Cornell University)
|
2020
|
880 회 인용
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