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GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training


Feb 16, 2021
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein


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Data Augmentation for Meta-Learning


Oct 14, 2020
Renkun Ni, Micah Goldblum, Amr Sharaf, Kezhi Kong, Tom Goldstein


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WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic


Jul 26, 2020
Renkun Ni, Hong-min Chu, Oscar Castañeda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein


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Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks


Mar 21, 2020
Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein


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Certified Defenses for Adversarial Patches


Mar 14, 2020
Ping-Yeh Chiang, Renkun Ni, Ahmed Abdelkader, Chen Zhu, Christoph Studor, Tom Goldstein

* to be published in International Conference on Learning Representations, ICLR 2020 

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Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers


Feb 22, 2020
Chen Zhu, Renkun Ni, Ping-yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein


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WITCHcraft: Efficient PGD attacks with random step size


Nov 18, 2019
Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi

* Authors contributed equally and are listed in alphabetical order 

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Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization


Aug 03, 2017
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su

* BMVC 2017 Oral 

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