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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
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo, Chenghao Liu 외 3명
arXiv (Cornell University)
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2022
|
108 회 인용
Fast Tracking via Spatio-Temporal Context Learning
Kaihua Zhang, Lei Zhang 외 2명
arXiv (Cornell University)
|
2013
|
108 회 인용
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland, Hsiao-Yu Fish Tung 외 5명
arXiv (Cornell University)
|
2016
|
108 회 인용
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson, Mike Schuster 외 10명
arXiv (Cornell University)
|
2016
|
108 회 인용
Gradient Surgery for Multi-Task Learning
Tianhe Yu, Saurabh Kumar 외 4명
arXiv (Cornell University)
|
2020
|
108 회 인용
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu, Mozhi Zhang 외 4명
arXiv (Cornell University)
|
2020
|
108 회 인용
Imbalanced Malware Images Classification: a CNN based Approach
Songqing Yue, Wang, Tianyang
arXiv (Cornell University)
|
2017
|
108 회 인용
Interactive Learning from Policy-Dependent Human Feedback
James MacGlashan, Mark K. Ho 외 6명
arXiv (Cornell University)
|
2017
|
108 회 인용
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Jun Zhang
arXiv (Cornell University)
|
2018
|
108 회 인용
Is ChatGPT the Ultimate Programming Assistant -- How far is it?
Haoye Tian, Weiqi Lu 외 5명
arXiv (Cornell University)
|
2023
|
108 회 인용
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