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A New Meta-Baseline for Few-Shot Learning

Apr 01, 2020
Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell

* Code: https://github.com/cyvius96/few-shot-meta-baseline 

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Rethinking Image Mixture for Unsupervised Visual Representation Learning

Mar 11, 2020
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell


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Convolutional Networks with Dense Connectivity

Jan 08, 2020
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger

* Journal(PAMI) version of DenseNet(CVPR'17) 

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Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network

Jan 07, 2020
Huiwei Zhou, Zhuang Liu, Shixian Ning, Yunlong Yang, Chengkun Lang, Yingyu Lin, Kun Ma

* Database-The Journal of Biological Databases and Curation, 2018, 2018: bay071 
* Published on Database-The Journal of Biological Databases and Curation, 11 pages, 5 figures 

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Chemical-induced Disease Relation Extraction with Dependency Information and Prior Knowledge

Jan 02, 2020
Huiwei Zhou, Shixian Ning, Yunlong Yang, Zhuang Liu, Chengkun Lang, Yingyu Lin

* Journal of Biomedical Informatics, 2018, 84:171-178 
* Published on Journal of Biomedical Informatics, 13 pages 

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Combining Context and Knowledge Representations for Chemical-Disease Relation Extraction

Dec 23, 2019
Huiwei Zhou, Yunlong Yang, Shixian Ning, Zhuang Liu, Chengkun Lang, Yingyu Lin, Degen Huang

* IEEE/ACM TCBB,2018,16(6):1879-1889 
* Published on IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11 pages, 5 figures 

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Knowledge-guided Convolutional Networks for Chemical-Disease Relation Extraction

Dec 23, 2019
Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin, Lei Du

* BMC Bioinformatics, 2019, 20(1):260 
* Published on BMC Bioinformatics, 16 pages, 5 figures 

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Improving Neural Protein-Protein Interaction Extraction with Knowledge Selection

Dec 11, 2019
Huiwei Zhou, Xuefei Li, Weihong Yao, Zhuang Liu, Shixian Ning, Chengkun Lang, Lei Du

* Computational Biology and Chemistry, 2019, 83: 107146 
* Published in Computational Biology and Chemistry; 14 pages, 2 figures 

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Test-Time Training for Out-of-Distribution Generalization

Oct 25, 2019
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt


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Regularization Matters in Policy Optimization

Oct 21, 2019
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

* Code link: https://github.com/xuanlinli17/po-rl-regularization 

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Transferable Recognition-Aware Image Processing

Oct 21, 2019
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell


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Few-shot Object Detection via Feature Reweighting

Dec 05, 2018
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell


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Knowledge Distillation from Few Samples

Dec 05, 2018
Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang


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Rethinking the Value of Network Pruning

Oct 11, 2018
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell

* Submitted to ICLR 2019 

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Object Detection from Scratch with Deep Supervision

Sep 25, 2018
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

* This is an extended version of our previous conference paper arXiv:1708.01241 

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DSOD: Learning Deeply Supervised Object Detectors from Scratch

Apr 30, 2018
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

* ICCV 2017. Code and models are available at: https://github.com/szq0214/DSOD 

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Densely Connected Convolutional Networks

Jan 28, 2018
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

* CVPR 2017 

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Learning Efficient Convolutional Networks through Network Slimming

Aug 22, 2017
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

* Accepted by ICCV 2017 

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Snapshot Ensembles: Train 1, get M for free

Apr 01, 2017
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger


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Deep Networks with Stochastic Depth

Jul 28, 2016
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Weinberger

* first two authors contributed equally 

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