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