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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
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant, Chelsea Finn 외 3명
arXiv (Cornell University)
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2018
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167 회 인용
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh Iyer, Jeff Bilmes
arXiv (Cornell University)
|
2013
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167 회 인용
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Liang Chen 외 10명
arXiv (Cornell University)
|
2023
|
167 회 인용
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
Robert David, Jared Duke 외 11명
arXiv (Cornell University)
|
2020
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167 회 인용
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang, Chen‐Yu Lee 외 2명
arXiv (Cornell University)
|
2015
|
167 회 인용
Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk 외 8명
PolyPublie (École Polytechnique de Montréal)
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2017
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166 회 인용
Deeply-Learned Part-Aligned Representations for Person Re-Identification
Li-Ming Zhao, Xi Li 외 2명
arXiv (Cornell University)
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2017
|
166 회 인용
End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures
Gabriel Synnaeve, Qiantong Xu 외 7명
arXiv (Cornell University)
|
2019
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166 회 인용
Evaluating the Search Phase of Neural Architecture Search
Kaicheng Yu, Christian Sciuto 외 3명
arXiv (Cornell University)
|
2019
|
166 회 인용
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
Matt Thomas, Bo Pang 외 1명
arXiv (Cornell University)
|
2006
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166 회 인용
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