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Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Jul 01, 2020
Linnan Wang, Rodrigo Fonseca, Yuandong Tian

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Few-shot Neural Architecture Search

Jun 19, 2020
Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo

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Sample-Efficient Neural Architecture Search by Learning Action Space

Jun 17, 2019
Linnan Wang, Saining Xie, Teng Li, Rodrigo Fonseca, Yuandong Tian

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AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search

Mar 26, 2019
Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca

* another search algorithm for NAS. arXiv admin note: text overlap with arXiv:1805.07440 

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Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

May 11, 2018
Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu

* CVPR2018 

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SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

Jan 13, 2018
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska

* PPoPP '2018: 23nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 

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Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent

Mar 28, 2017
Linnan Wang, Yi Yang, Martin Renqiang Min, Srimat Chakradhar

* The patent of ISGD belongs to NEC Labs 

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Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization

Nov 11, 2016
Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael Lyu

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Large Scale Artificial Neural Network Training Using Multi-GPUs

Nov 13, 2015
Linnan Wang, Wei Wu, Jianxiong Xiao, Yang Yi

* SC 15 Poster 

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