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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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Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov, Vadim Lebedev, +2
arXiv (Cornell University)
|
2016
|
605 citations
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, +4
arXiv (Cornell University)
|
2019
|
604 citations
Sanity Checks for Saliency Maps
Julius Adebayo, Justin Gilmer, +4
arXiv (Cornell University)
|
2018
|
604 citations
Bayesian Online Changepoint Detection
Ryan P. Adams, David Mackay
ArXiv.org
|
2007
|
601 citations
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, +7
arXiv (Cornell University)
|
2015
|
601 citations
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, +6
arXiv (Cornell University)
|
2020
|
601 citations
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit, Michael J. Wilber, +1
arXiv (Cornell University)
|
2016
|
600 citations
Dual Learning for Machine Translation
Yingce Xia, Di He, +5
arXiv (Cornell University)
|
2016
|
598 citations
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, +7
arXiv (Cornell University)
|
2019
|
598 citations
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang, Xiao Fu, +2
arXiv (Cornell University)
|
2016
|
597 citations
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