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Computer Science 논문 리뷰
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필터
9999+개의 결과
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth 외 2명
arXiv (Cornell University)
|
2017
|
750 회 인용
Searching for Activation Functions
Prajit Ramachandran, Barret Zoph 외 1명
arXiv (Cornell University)
|
2017
|
750 회 인용
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati, Feifei Zhai 외 1명
arXiv (Cornell University)
|
2016
|
749 회 인용
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng 외 3명
arXiv (Cornell University)
|
2017
|
748 회 인용
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Hao Zhang, Feng Li 외 6명
arXiv (Cornell University)
|
2022
|
747 회 인용
Trained Ternary Quantization
Chenzhuo Zhu, Song Han 외 2명
arXiv (Cornell University)
|
2016
|
746 회 인용
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot, Thomas Schumm 외 1명
arXiv (Cornell University)
|
2017
|
744 회 인용
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun 외 3명
arXiv (Cornell University)
|
2018
|
742 회 인용
Deep Learning using Linear Support Vector Machines
Yichuan Tang
arXiv (Cornell University)
|
2013
|
741 회 인용
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu, Rui Tao Peng 외 2명
arXiv (Cornell University)
|
2016
|
741 회 인용
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