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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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Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko, Nikos Komodakis
arXiv (Cornell University)
|
2016
|
1,542 citations
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Mądry, Aleksandar Makelov, +3
arXiv (Cornell University)
|
2017
|
1,538 citations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris, Praveer Singh, +1
arXiv (Cornell University)
|
2018
|
1,534 citations
Teaching Machines to Read and Comprehend
Karl Moritz Hermann, Tomáš Kočiský, +5
arXiv (Cornell University)
|
2015
|
1,527 citations
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma, Danilo Jimenez Rezende, +2
UvA-DARE (University of Amsterdam)
|
2014
|
1,521 citations
Deep Speech: Scaling up end-to-end speech recognition
Awni Hannun, Carl Case, +9
arXiv (Cornell University)
|
2014
|
1,513 citations
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, +3
arXiv (Cornell University)
|
2017
|
1,510 citations
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Paul Jacot, Franck Gabriel, +1
arXiv (Cornell University)
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2018
|
1,508 citations
A Neural Conversational Model
Oriol Vinyals, Quoc V. Le
arXiv (Cornell University)
|
2015
|
1,502 citations
Temporal Ensembling for Semi-Supervised Learning
Samuli Laine, Timo Aila
arXiv (Cornell University)
|
2016
|
1,496 citations
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