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