02 2020 档案
摘要:CanChen ggchen@mail.ustc.edu.cn This paper about CB contains too much new information for me so I spent almost two days reading it. A Contextual Bandi
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摘要:CanChen ggchen@mail.ustc.edu.cn Neural Predictor for Neural Architecture Search Motivation: Current NAS algorithms require lots of computing resources
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摘要:CanChen ggchen@mail.ustc.edu.cn To share or not share Motivation: With the publiaction of NAS101, the author wants to study how weight sharing work in
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摘要:CanChen ggchen@mail.ustc.edu.cn BANANAS Motivation: This paper proposes a network performance predictor to ease the computing pressure in the bayesian
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摘要:CanChen ggchen@mail.ustc.edu.cn AdaBatch Motivation: Current stochastic gradient descend methods use fixed batchsize. Small batchsize with small learn
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摘要:CanChen ggchen@mail.ustc.edu.cn VS-GAE Motivation: With the publication of NAS101, researchers can do NAS research easily. The cell design problem is
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摘要:CanChen ggchen@mail.ustc.edu.cn Busy... Human-level concept learning through probabilistic program induction Motivation:After seeing only one example,
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摘要:CanChen ggchen@mail.ustc.edu.cn Recently I am occupied with something else so today I am going to share only one paper. Rule extraction from RNN Motiv
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摘要:CanChen ggchen@mail.ustc.edu.cn This is my first day sharing my reading paper and I will try to paraphrase core ideas in these papers with very simple
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