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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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Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, +4
arXiv (Cornell University)
|
2021
|
85 citations
Close to Human Quality TTS with Transformer
Naihan Li, Shujie Liu, +4
arXiv (Cornell University)
|
2018
|
85 citations
COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges
Jinfeng Li, Xinyi Guo
arXiv (Cornell University)
|
2020
|
85 citations
Crafting Adversarial Examples For Speech Paralinguistics Applications
Yuan Gong, Christian Poellabauer
arXiv (Cornell University)
|
2017
|
85 citations
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
Wenxiao Wang, Yao Lu, +5
arXiv (Cornell University)
|
2021
|
85 citations
Deep Image Retrieval: Learning global representations for image search
Albert Gordo, Jon Almazán, +2
arXiv (Cornell University)
|
2016
|
85 citations
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, +1
arXiv (Cornell University)
|
2018
|
85 citations
Direct-Manipulation Visualization of Deep Networks
Daniel Smilkov, Shan Carter, +3
arXiv (Cornell University)
|
2017
|
85 citations
Distractor-aware Siamese Networks for Visual Object Tracking
Zheng Zhu, Qiang Wang, +4
arXiv (Cornell University)
|
2018
|
85 citations
DRCD: a Chinese Machine Reading Comprehension Dataset
Chih-Chieh Shao, Trois Liu, +3
arXiv (Cornell University)
|
2018
|
85 citations
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