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