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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
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot, Martı́n Abadi 외 3명
arXiv (Cornell University)
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2016
|
320 회 인용
Three Approaches for Personalization with Applications to Federated Learning
Yishay Mansour, Mehryar Mohri 외 2명
arXiv (Cornell University)
|
2020
|
320 회 인용
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen, Dalin Zhang 외 4명
arXiv (Cornell University)
|
2020
|
319 회 인용
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data
Yuanzhi Li, Yingyu Liang
arXiv (Cornell University)
|
2018
|
319 회 인용
Learning to Execute
Wojciech Zaremba, Ilya Sutskever
arXiv (Cornell University)
|
2014
|
319 회 인용
Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena
Johan Bollen, Alberto Pepe 외 1명
arXiv (Cornell University)
|
2009
|
319 회 인용
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg, Vijay Kumar Bg 외 2명
arXiv (Cornell University)
|
2016
|
319 회 인용
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Xiao Chen, Chaoran Li 외 6명
arXiv (Cornell University)
|
2018
|
318 회 인용
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan, Graham Neubig 외 1명
arXiv (Cornell University)
|
2021
|
318 회 인용
BRITS: Bidirectional Recurrent Imputation for Time Series
Wei Cao, Dong Wang 외 4명
arXiv (Cornell University)
|
2018
|
318 회 인용
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