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