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Sandwich Batch Normalization

Feb 22, 2021
Xinyu Gong, Wuyang Chen, Tianlong Chen, Zhangyang Wang

* Codes are available at https://github.com/VITA-Group/Sandwich-Batch-Normalization 

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A Unified Lottery Ticket Hypothesis for Graph Neural Networks

Feb 12, 2021
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang


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Good Students Play Big Lottery Better

Jan 18, 2021
Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang


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The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

Dec 12, 2020
Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang


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Graph Contrastive Learning with Augmentations

Nov 11, 2020
Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

* Supplementary materials are available at https://yyou1996.github.io/files/neurips2020_graphcl_supplement.pdf. NeurIPS 2020 

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Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free

Nov 10, 2020
Haotao Wang, Tianlong Chen, Shupeng Gui, Ting-Kuei Hu, Ji Liu, Zhangyang Wang

* NeurIPS 2020 

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Robust Pre-Training by Adversarial Contrastive Learning

Oct 26, 2020
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

* Neurips 2020 

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Training Stronger Baselines for Learning to Optimize

Oct 18, 2020
Tianlong Chen, Weiyi Zhang, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

* NeurIPS 2020 Spotlight Oral 

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PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning

Oct 06, 2020
Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang


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The Lottery Ticket Hypothesis for Pre-trained BERT Networks

Jul 23, 2020
Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Zhangyang Wang, Michael Carbin


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When Does Self-Supervision Help Graph Convolutional Networks?

Jul 04, 2020
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

* Supplementary materials are available at https://yyou1996.github.io/files/icml2020_ssgcn_supplement.pdf. ICML 2020 

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Can 3D Adversarial Logos Cloak Humans?

Jun 25, 2020
Tianlong Chen, Yi Wang, Jingyang Zhou, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang


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Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training

Jun 22, 2020
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

* ICML 2020 accepted 

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Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification

May 22, 2020
Prateek Shroff, Tianlong Chen, Yunchao Wei, Zhangyang Wang


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AutoSpeech: Neural Architecture Search for Speaker Recognition

May 07, 2020
Shaojin Ding, Tianlong Chen, Xinyu Gong, Weiwei Zha, Zhangyang Wang


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L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Apr 22, 2020
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

* CVPR 2020 

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Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning

Mar 28, 2020
Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang

* CVPR 2020 

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I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively

Feb 25, 2020
Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma

* Accepted to ICLR 2020 

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Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference

Feb 25, 2020
Ting-Kuei Hu, Tianlong Chen, Haotao Wang, Zhangyang Wang

* Published on ICLR 2020 

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Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification

Nov 27, 2019
Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua

* WACV 2020 accepted 

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Learning to Optimize in Swarms

Nov 16, 2019
Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

* Accepted to Neural Information Processing Systems (NeurIPS2019) 

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