Shan You

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SenseTime Corporation ∙ Peking University

Explicitly Learning Topology for Differentiable Neural Architecture Search

Differentiable neural architecture search (DARTS) has gained much succes...
11/18/2020 ∙ by Tao Huang, et al. ∙ 0 ∙ share

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Data Agnostic Filter Gating for Efficient Deep Networks

To deploy a well-trained CNN model on low-end computation edge devices, ...
10/28/2020 ∙ by Xiu Su, et al. ∙ 0 ∙ share

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Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Quantum error mitigation techniques are at the heart of quantum computat...
10/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Neural architecture search (NAS) aims to produce the optimal sparse solu...
10/13/2020 ∙ by Yibo Yang, et al. ∙ 0 ∙ share

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Quantum differentially private sparse regression learning

Differentially private (DP) learning, which aims to accurately extract p...
07/23/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

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GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Training a supernet matters for one-shot neural architecture search (NAS...
03/25/2020 ∙ by Shan You, et al. ∙ 6 ∙ share

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Bringing Giant Neural Networks Down to Earth with Unlabeled Data

Compressing giant neural networks has gained much attention for their ex...
07/13/2019 ∙ by Yehui Tang, et al. ∙ 5 ∙ share

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Privileged Multi-label Learning

This paper presents privileged multi-label learning (PrML) to explore an...
01/25/2017 ∙ by Shan You, et al. ∙ 0 ∙ share

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Parts for the Whole: The DCT Norm for Extreme Visual Recovery

Here we study the extreme visual recovery problem, in which over 90% of ...
04/19/2016 ∙ by Yunhe Wang, et al. ∙ 0 ∙ share

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Streaming Label Learning for Modeling Labels on the Fly

It is challenging to handle a large volume of labels in multi-label lear...
04/19/2016 ∙ by Shan You, et al. ∙ 0 ∙ share

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Shan You

Featured Co-authors

Dacheng Tao

Fei Wang

Chang Xu

Zhouchen Lin

Chao Xu

Tongliang Liu

Chen Qian

Yunhe Wang

Changshui Zhang

Min-Hsiu Hsieh

Yibo Yang

Explicitly Learning Topology for Differentiable Neural Architecture Search

Data Agnostic Filter Gating for Efficient Deep Networks

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding

Quantum differentially private sparse regression learning

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet

Bringing Giant Neural Networks Down to Earth with Unlabeled Data

Privileged Multi-label Learning

Parts for the Whole: The DCT Norm for Extreme Visual Recovery

Streaming Label Learning for Modeling Labels on the Fly