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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
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava 외 2명
arXiv (Cornell University)
|
2011
|
105 회 인용
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
Scott Cyphers, Arjun K. Bansal 외 19명
arXiv (Cornell University)
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2018
|
105 회 인용
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum 외 2명
arXiv (Cornell University)
|
2021
|
105 회 인용
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami 외 2명
arXiv (Cornell University)
|
2018
|
105 회 인용
Learning Functions: When Is Deep Better Than Shallow
H. N. Mhaskar, Qianli Liao 외 1명
arXiv (Cornell University)
|
2016
|
105 회 인용
Meta Reinforcement Learning with Latent Variable Gaussian Processes
Steindór Sæmundsson, Katja Hofmann 외 1명
arXiv (Cornell University)
|
2018
|
105 회 인용
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling
Yingbo Ma, Shashi Gowda 외 4명
arXiv (Cornell University)
|
2021
|
105 회 인용
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang, Xintong Han 외 3명
arXiv (Cornell University)
|
2019
|
105 회 인용
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause 외 1명
arXiv (Cornell University)
|
2010
|
105 회 인용
Neuro-Symbolic Program Synthesis
Emilio Parisotto, Abdelrahman Mohamed 외 4명
arXiv (Cornell University)
|
2016
|
105 회 인용
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