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Understanding invariance via feedforward inversion of discriminatively trained classifiers


Mar 15, 2021
Piotr Teterwak, Chiyuan Zhang, Dilip Krishnan, Michael C. Mozer


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On Deep Learning with Label Differential Privacy


Feb 11, 2021
Badih Ghazi, Noah Golowich, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang

* 26 pages, 4 figures 

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What is being transferred in transfer learning?


Aug 26, 2020
Behnam Neyshabur, Hanie Sedghi, Chiyuan Zhang

* Equal contribution, authors ordered randomly 

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What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation


Aug 09, 2020
Vitaly Feldman, Chiyuan Zhang


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Exploring the Memorization-Generalization Continuum in Deep Learning


Feb 08, 2020
Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer


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Identity Crisis: Memorization and Generalization under Extreme Overparameterization


Feb 15, 2019
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Yoram Singer


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Transfusion: Understanding Transfer Learning with Applications to Medical Imaging


Feb 14, 2019
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, Samy Bengio


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Are All Layers Created Equal?


Feb 12, 2019
Chiyuan Zhang, Samy Bengio, Yoram Singer


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Unrestricted Adversarial Examples


Sep 22, 2018
Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, Ian Goodfellow


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A Study on Overfitting in Deep Reinforcement Learning


Apr 20, 2018
Chiyuan Zhang, Oriol Vinyals, Remi Munos, Samy Bengio


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Machine Theory of Mind


Mar 12, 2018
Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew Botvinick

* 21 pages, 15 figures 

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Theory of Deep Learning IIb: Optimization Properties of SGD


Jan 07, 2018
Chiyuan Zhang, Qianli Liao, Alexander Rakhlin, Brando Miranda, Noah Golowich, Tomaso Poggio


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Understanding deep learning requires rethinking generalization


Feb 26, 2017
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals

* Published in ICLR 2017 

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Training Deep Nets with Sublinear Memory Cost


Apr 22, 2016
Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin


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Learning with a Wasserstein Loss


Dec 30, 2015
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya-Polo, Tomaso Poggio

* NIPS 2015; v3 updates Algorithm 1 and Equations 6, 8 

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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems


Dec 03, 2015
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

* In Neural Information Processing Systems, Workshop on Machine Learning Systems, 2016 

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Learning An Invariant Speech Representation


Jun 16, 2014
Georgios Evangelopoulos, Stephen Voinea, Chiyuan Zhang, Lorenzo Rosasco, Tomaso Poggio

* CBMM Memo No. 022, 5 pages, 2 figures 

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A Deep Representation for Invariance And Music Classification


Apr 01, 2014
Chiyuan Zhang, Georgios Evangelopoulos, Stephen Voinea, Lorenzo Rosasco, Tomaso Poggio

* 5 pages, CBMM Memo No. 002, (to appear) IEEE 2014 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014) 

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