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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
Neural Discrete Representation Learning
Aäron van den Oord, Oriol Vinyals 외 1명
arXiv (Cornell University)
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2017
|
1,919 회 인용
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron, Ishan Misra 외 4명
arXiv (Cornell University)
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2020
|
1,908 회 인용
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli 외 3명
arXiv (Cornell University)
|
2017
|
1,901 회 인용
Federated Learning with Non-IID Data
Yue Zhao, Meng Li 외 4명
arXiv (Cornell University)
|
2018
|
1,901 회 인용
Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu 외 2명
arXiv (Cornell University)
|
2016
|
1,897 회 인용
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu, Weijie Su 외 4명
arXiv (Cornell University)
|
2020
|
1,866 회 인용
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
arXiv (Cornell University)
|
2019
|
1,857 회 인용
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio 외 1명
PolyPublie (École Polytechnique de Montréal)
|
2015
|
1,829 회 인용
Dueling Network Architectures for Deep Reinforcement Learning
Ziyu Wang, Tom Schaul 외 4명
arXiv (Cornell University)
|
2015
|
1,813 회 인용
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li, Rose Yu 외 2명
arXiv (Cornell University)
|
2017
|
1,797 회 인용
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