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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
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Liangchen Luo, Yuanhao Xiong 외 2명
arXiv (Cornell University)
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2019
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189 회 인용
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy, Aditya Krishna Menon 외 1명
arXiv (Cornell University)
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2018
|
189 회 인용
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
Omar Khattab, Matei Zaharia
arXiv (Cornell University)
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2020
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189 회 인용
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel, Ujwal Bonde 외 2명
arXiv (Cornell University)
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2018
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189 회 인용
Describing Videos by Exploiting Temporal Structure
Li Yao, Atousa Torabi 외 5명
arXiv (Cornell University)
|
2015
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189 회 인용
Informed Sampling for Asymptotically Optimal Path Planning (Consolidated Version)
Gammell, Jonathan D, Barfoot, Timothy D 외 1명
arXiv (Cornell University)
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2017
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189 회 인용
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam, Matthew Lamm 외 4명
arXiv (Cornell University)
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2018
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189 회 인용
Learning Finite-State Controllers for Partially Observable Environments
Nicolas Meuleau, Leonid Peshkin 외 2명
arXiv (Cornell University)
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2013
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189 회 인용
LipNet: End-to-End Sentence-level Lipreading
Yannis Assael, Brendan Shillingford 외 2명
arXiv (Cornell University)
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2016
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189 회 인용
Optimal algorithms for smooth and strongly convex distributed optimization in networks
Kevin G. Seaman, Francis Bach 외 3명
arXiv (Cornell University)
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2017
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189 회 인용
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