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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
FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris, Antonia Marcu 외 4명
arXiv (Cornell University)
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2020
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104 회 인용
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
Zihang Dai, Guokun Lai 외 2명
arXiv (Cornell University)
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2020
|
104 회 인용
High Fidelity Speech Synthesis with Adversarial Networks
Mikołaj Bińkowski, Jeff Donahue 외 6명
arXiv (Cornell University)
|
2019
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104 회 인용
Hyperspherical Variational Auto-Encoders
Tim R. Davidson, Luca Falorsi 외 3명
arXiv (Cornell University)
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2018
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104 회 인용
Information Theoretical Estimators Toolbox
Zoltán Szabó
arXiv (Cornell University)
|
2014
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104 회 인용
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos, Maithra Raghu 외 1명
arXiv (Cornell University)
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2018
|
104 회 인용
Knowledge Matters: Importance of Prior Information for Optimization
Çaǧlar Gülçehre, Yoshua Bengio
arXiv (Cornell University)
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2013
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104 회 인용
Learning Mixtures of Submodular Shells with Application to Document Summarization
Hui Lin, Jeff Bilmes
arXiv (Cornell University)
|
2012
|
104 회 인용
Les Houches 2017: Physics at TeV Colliders New Physics Working Group Report
G. Brooijmans, Matthew J. Dolan 외 81명
arXiv (Cornell University)
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2018
|
104 회 인용
Loopy Belief Propagation as a Basis for Communication in Sensor Networks
Christopher Crick, Avi Pfeffer
arXiv (Cornell University)
|
2012
|
104 회 인용
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