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Computer Science 论文解读
Computer Science 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
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Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, +2
arXiv (Cornell University)
|
2011
|
105 citations
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
Scott Cyphers, Arjun K. Bansal, +19
arXiv (Cornell University)
|
2018
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105 citations
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas, Johan Fredin Haslum, +2
arXiv (Cornell University)
|
2021
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105 citations
Joint Optimization Framework for Learning with Noisy Labels
Daiki Tanaka, Daiki Ikami, +2
arXiv (Cornell University)
|
2018
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105 citations
Learning Functions: When Is Deep Better Than Shallow
H. N. Mhaskar, Qianli Liao, +1
arXiv (Cornell University)
|
2016
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105 citations
Meta Reinforcement Learning with Latent Variable Gaussian Processes
Steindór Sæmundsson, Katja Hofmann, +1
arXiv (Cornell University)
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2018
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105 citations
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling
Yingbo Ma, Shashi Gowda, +4
arXiv (Cornell University)
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2021
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105 citations
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang, Xintong Han, +3
arXiv (Cornell University)
|
2019
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105 citations
Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause, +1
arXiv (Cornell University)
|
2010
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105 citations
Neuro-Symbolic Program Synthesis
Emilio Parisotto, Abdelrahman Mohamed, +4
arXiv (Cornell University)
|
2016
|
105 citations
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