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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu, Xinyun Chen, +2
arXiv (Cornell University)
|
2016
|
819 citations
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed M. Ahmed, +1
arXiv (Cornell University)
|
2016
|
816 citations
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, +5
arXiv (Cornell University)
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2021
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815 citations
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, +3
arXiv (Cornell University)
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2018
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809 citations
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
Max Jaderberg, Karen Simonyan, +2
arXiv (Cornell University)
|
2014
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808 citations
Data Augmentation Generative Adversarial Networks
Antreas Antoniou, Amos Storkey, +1
arXiv (Cornell University)
|
2017
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806 citations
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, +4
arXiv (Cornell University)
|
2013
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805 citations
Deep Learning for Identifying Metastatic Breast Cancer
D. Wang, Aditya Khosla, +3
arXiv (Cornell University)
|
2016
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802 citations
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv, Naftali Tishby
arXiv (Cornell University)
|
2017
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800 citations
Conditional Image Generation with PixelCNN Decoders
Aäron van den Oord, Nal Kalchbrenner, +4
arXiv (Cornell University)
|
2016
|
799 citations
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