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