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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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Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata
arXiv (Cornell University)
|
2019
|
150 citations
Towards Practical Oblivious RAM
Emil Stefanov, Elaine Shi, +1
arXiv (Cornell University)
|
2011
|
150 citations
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, +2
arXiv (Cornell University)
|
2020
|
150 citations
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, +1
arXiv (Cornell University)
|
2017
|
150 citations
Unsupervised Person Re-identification: Clustering and Fine-tuning
Hehe Fan, Liang Zheng, +1
arXiv (Cornell University)
|
2017
|
150 citations
zoo: S3 Infrastructure for Regular and Irregular Time Series
Achim Zeileis, Gabor Grothendieck
ArXiv.org
|
2005
|
150 citations
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families
Eric P. Xing, Michael I. Jordan, +1
arXiv (Cornell University)
|
2012
|
149 citations
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, +1
arXiv (Cornell University)
|
2021
|
149 citations
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, +5
arXiv (Cornell University)
|
2019
|
149 citations
Bayesian Recurrent Neural Networks
Meire Fortunato, Charles Blundell, +1
arXiv (Cornell University)
|
2017
|
149 citations
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