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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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How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, +2
arXiv (Cornell University)
|
2012
|
113 citations
Importance of Tuning Hyperparameters of Machine Learning Algorithms
Hilde Weerts, Andreas Mueller, +1
arXiv (Cornell University)
|
2020
|
113 citations
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals
Sören Becker, Marcel R. Ackermann, +3
arXiv (Cornell University)
|
2018
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113 citations
Invariant and Equivariant Graph Networks
Haggai Maron, Heli Ben-Hamu, +2
arXiv (Cornell University)
|
2018
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113 citations
Language Models as Knowledge Bases?
Fabio Petroni, Tim Rocktäschel, +5
arXiv (Cornell University)
|
2019
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113 citations
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction
Bowen Shi, Wei-Ning Hsu, +2
arXiv (Cornell University)
|
2022
|
113 citations
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge, Jason D. Lee, +1
arXiv (Cornell University)
|
2017
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113 citations
Learning to Generalize: Meta-Learning for Domain Generalization
Da Li, Yongxin Yang, +2
arXiv (Cornell University)
|
2017
|
113 citations
Learning to Reason: End-to-End Module Networks for Visual Question Answering
Ronghang Hu, Jacob Andreas, +3
arXiv (Cornell University)
|
2017
|
113 citations
Learning Visual Predictive Models of Physics for Playing Billiards
Katerina Fragkiadaki, Pulkit Agrawal, +2
arXiv (Cornell University)
|
2015
|
113 citations
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