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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
Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers, Luke Zettlemoyer
arXiv (Cornell University)
|
2019
|
191 회 인용
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel 외 2명
arXiv (Cornell University)
|
2016
|
191 회 인용
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela 외 1명
arXiv (Cornell University)
|
2021
|
191 회 인용
Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
Chris Thornton, Frank Hutter 외 2명
arXiv (Cornell University)
|
2012
|
190 회 인용
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh, Oriol Vinyals 외 4명
arXiv (Cornell University)
|
2016
|
190 회 인용
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
Sadaqat Ur Rehman, Muhammad Waqas 외 6명
arXiv (Cornell University)
|
2020
|
190 회 인용
Efficient generation of entangled multi-photon graph states from a single atom
Philip Thomas, Leonardo Ruscio 외 2명
arXiv (Cornell University)
|
2022
|
190 회 인용
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He, Murali Annavaram 외 1명
arXiv (Cornell University)
|
2020
|
190 회 인용
Haar Wavelet Based Approach for Image Compression and Quality Assessment of Compressed Image
Kamrul Hasan Talukder, Koichi Harada
arXiv (Cornell University)
|
2010
|
190 회 인용
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim, Peter Wonka
arXiv (Cornell University)
|
2018
|
190 회 인용
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