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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
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu, Xinyun Chen 외 2명
arXiv (Cornell University)
|
2016
|
819 회 인용
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed M. Ahmed 외 1명
arXiv (Cornell University)
|
2016
|
816 회 인용
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala 외 5명
arXiv (Cornell University)
|
2021
|
815 회 인용
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola 외 3명
arXiv (Cornell University)
|
2018
|
809 회 인용
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
Max Jaderberg, Karen Simonyan 외 2명
arXiv (Cornell University)
|
2014
|
808 회 인용
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey 외 1명
arXiv (Cornell University)
|
2017
|
806 회 인용
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo 외 4명
arXiv (Cornell University)
|
2013
|
805 회 인용
Deep Learning for Identifying Metastatic Breast Cancer
D. Wang, Aditya Khosla 외 3명
arXiv (Cornell University)
|
2016
|
802 회 인용
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv, Naftali Tishby
arXiv (Cornell University)
|
2017
|
800 회 인용
Conditional Image Generation with PixelCNN Decoders
Aäron van den Oord, Nal Kalchbrenner 외 4명
arXiv (Cornell University)
|
2016
|
799 회 인용
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