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PyGlove: Symbolic Programming for Automated Machine Learning


Jan 21, 2021
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le

* NeurIPS 2020 Oral 

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Transferable Graph Optimizers for ML Compilers


Oct 21, 2020
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter Ma, Qiumin Xu, Hanxiao Liu, Mangpo Phitchaya Phothilimtha, Shen Wang, Anna Goldie, Azalia Mirhoseini, James Laudon

* NeurIPS 2020 
* arXiv admin note: text overlap with arXiv:1910.01578 

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Discovering Multi-Hardware Mobile Models via Architecture Search


Aug 18, 2020
Grace Chu, Okan Arikan, Gabriel Bender, Weijun Wang, Achille Brighton, Pieter-Jan Kindermans, Hanxiao Liu, Berkin Akin, Suyog Gupta, Andrew Howard


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Can weight sharing outperform random architecture search? An investigation with TuNAS


Aug 13, 2020
Gabriel Bender, Hanxiao Liu, Bo Chen, Grace Chu, Shuyang Cheng, Pieter-Jan Kindermans, Quoc Le

* Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 14323-14332 
* Published at CVPR 2020 

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Rethinking Pre-training and Self-training


Jun 11, 2020
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le


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MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


Apr 30, 2020
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen


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Evolving Normalization-Activation Layers


Apr 28, 2020
Hanxiao Liu, Andrew Brock, Karen Simonyan, Quoc V. Le


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BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models


Mar 24, 2020
Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le

* Technical report 

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MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices


Dec 02, 2019
Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adams, Quoc V. Le

* 10 pages, 7 figures 

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Neural Predictor for Neural Architecture Search


Dec 02, 2019
Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans


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GDP: Generalized Device Placement for Dataflow Graphs


Sep 28, 2019
Yanqi Zhou, Sudip Roy, Amirali Abdolrashidi, Daniel Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon


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DARTS: Differentiable Architecture Search


Jun 24, 2018
Hanxiao Liu, Karen Simonyan, Yiming Yang


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Learning Depthwise Graph Convolution from Data Manifold


May 23, 2018
Guokun Lai, Hanxiao Liu, Yiming Yang


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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks


Apr 18, 2018
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu

* Accepted by SIGIR 2018 

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Hierarchical Representations for Efficient Architecture Search


Feb 22, 2018
Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu

* Accepted as a conference paper at ICLR 2018 

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Analogical Inference for Multi-Relational Embeddings


Jul 06, 2017
Hanxiao Liu, Yuexin Wu, Yiming Yang


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Gated-Attention Readers for Text Comprehension


Apr 21, 2017
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov

* Accepted at ACL 2017 

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A Comparative Study of Word Embeddings for Reading Comprehension


Mar 02, 2017
Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, William W. Cohen


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Cross-Graph Learning of Multi-Relational Associations


May 06, 2016
Hanxiao Liu, Yiming Yang


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