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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
Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun 외 4명
arXiv (Cornell University)
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2020
|
108 회 인용
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Karthik Narasimhan, Tejas Kulkarni 외 1명
arXiv (Cornell University)
|
2015
|
108 회 인용
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
Tom Kocmi, Christian Federmann
arXiv (Cornell University)
|
2023
|
108 회 인용
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone 외 3명
arXiv (Cornell University)
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2017
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108 회 인용
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman 외 2명
arXiv (Cornell University)
|
2019
|
108 회 인용
Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel 외 4명
arXiv (Cornell University)
|
2020
|
108 회 인용
Nearly-tight VC-dimension bounds for piecewise linear neural networks
Nick Harvey, Chris Liaw 외 1명
arXiv (Cornell University)
|
2017
|
108 회 인용
Neural Turing Machines
Alex Graves, Greg Wayne 외 1명
arXiv (Cornell University)
|
2014
|
108 회 인용
Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd‐Graber 외 2명
arXiv (Cornell University)
|
2016
|
108 회 인용
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Ruixuan Luo, Jingjing Xu 외 4명
arXiv (Cornell University)
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2019
|
108 회 인용
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