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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
A Data Augmentation Approach for Sign-Language-To-Text Translation In-The-Wild
Xiujun Li, Xi Yin 외 10명
arXiv (Cornell University)
|
2020
|
134 회 인용
A Deep Generative Framework for Paraphrase Generation
Ankush Gupta, Arvind Agarwal 외 2명
arXiv (Cornell University)
|
2017
|
134 회 인용
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang 외 2명
arXiv (Cornell University)
|
2017
|
134 회 인용
An Improved Reversible Data Hiding in Encrypted Images using Parametric Binary Tree Labeling
Youqing Wu, Youzhi Xiang 외 3명
arXiv (Cornell University)
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2019
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134 회 인용
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang 외 3명
arXiv (Cornell University)
|
2015
|
134 회 인용
Can neural machine translation do simultaneous translation?
Kyunghyun Cho, Masha Esipova
arXiv (Cornell University)
|
2016
|
134 회 인용
Compacting, Picking and Growing for Unforgetting Continual Learning
Steven C. Y. Hung, Cheng-Hao Tu 외 4명
arXiv (Cornell University)
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2019
|
134 회 인용
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng, Hoifung Poon 외 3명
arXiv (Cornell University)
|
2017
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134 회 인용
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel 외 2명
arXiv (Cornell University)
|
2017
|
134 회 인용
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
Wanli Ouyang, Ping Luo 외 13명
arXiv (Cornell University)
|
2014
|
134 회 인용
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