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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun, +4
arXiv (Cornell University)
|
2020
|
108 citations
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Karthik Narasimhan, Tejas Kulkarni, +1
arXiv (Cornell University)
|
2015
|
108 citations
Large Language Models Are State-of-the-Art Evaluators of Translation Quality
Tom Kocmi, Christian Federmann
arXiv (Cornell University)
|
2023
|
108 citations
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone, +3
arXiv (Cornell University)
|
2017
|
108 citations
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, +2
arXiv (Cornell University)
|
2019
|
108 citations
Molecule Attention Transformer
Łukasz Maziarka, Tomasz Danel, +4
arXiv (Cornell University)
|
2020
|
108 citations
Nearly-tight VC-dimension bounds for piecewise linear neural networks
Nick Harvey, Chris Liaw, +1
arXiv (Cornell University)
|
2017
|
108 citations
Neural Turing Machines
Alex Graves, Greg Wayne, +1
arXiv (Cornell University)
|
2014
|
108 citations
Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd‐Graber, +2
arXiv (Cornell University)
|
2016
|
108 citations
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
Ruixuan Luo, Jingjing Xu, +4
arXiv (Cornell University)
|
2019
|
108 citations
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