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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
UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen, Linjie Li 외 6명
arXiv (Cornell University)
|
2019
|
184 회 인용
A Survey on Neural Speech Synthesis
Xu Tan, Tao Qin 외 2명
arXiv (Cornell University)
|
2021
|
183 회 인용
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Pranab Sahoo, Ayush Singh 외 4명
arXiv (Cornell University)
|
2024
|
183 회 인용
Clustering Stability: An Overview
Ulrike von Luxburg
arXiv (Cornell University)
|
2010
|
183 회 인용
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh, Victor Bapst 외 6명
arXiv (Cornell University)
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2017
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183 회 인용
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales
Saif M. Mohammad
arXiv (Cornell University)
|
2013
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183 회 인용
Learning a Driving Simulator
Eder Santana, George Hotz
arXiv (Cornell University)
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2016
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183 회 인용
Learning to Compose Domain-Specific Transformations for Data Augmentation
Alexander Ratner, Henry R. Ehrenberg 외 3명
arXiv (Cornell University)
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2017
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183 회 인용
LibriMix: An Open-Source Dataset for Generalizable Speech Separation
Joris Cosentino, Manuel Pariente 외 3명
arXiv (Cornell University)
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2020
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183 회 인용
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen 외 89명
arXiv (Cornell University)
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2019
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183 회 인용
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