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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
Fast Domain Adaptation for Neural Machine Translation
Markus Freitag, Yaser Al-Onaizan
arXiv (Cornell University)
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2016
|
164 회 인용
Federated Learning for Emoji Prediction in a Mobile Keyboard
Swaroop Ramaswamy Pillai, Rajiv Mathews 외 2명
arXiv (Cornell University)
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2019
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164 회 인용
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Dong Li 외 16명
arXiv (Cornell University)
|
2023
|
164 회 인용
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes
Yang You, Jing Li 외 8명
arXiv (Cornell University)
|
2019
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164 회 인용
Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey
Hamed Jelodar, Yongli Wang 외 5명
arXiv (Cornell University)
|
2017
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164 회 인용
Making Sensitivity Analysis Computationally Efficient
Uffe Kjærulff, Linda C. van der Gaag
arXiv (Cornell University)
|
2013
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164 회 인용
Mobile Device Identification via Sensor Fingerprinting
Hristo Bojinov, Yan Michalevsky 외 2명
arXiv (Cornell University)
|
2014
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164 회 인용
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen, Ian Goodfellow 외 1명
arXiv (Cornell University)
|
2015
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164 회 인용
On the Spectral Bias of Neural Networks
Nasim Rahaman, Aristide Baratin 외 6명
arXiv (Cornell University)
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2018
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164 회 인용
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan Salakhutdinov 외 1명
arXiv (Cornell University)
|
2015
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164 회 인용
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