Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Justin Gilmer

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization


Jun 29, 2020
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

* Datasets, code, and models available at https://github.com/hendrycks/imagenet-r 

  Access Paper or Ask Questions

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty


Dec 05, 2019
Dan Hendrycks, Norman Mu, Ekin D. Cubuk, Barret Zoph, Justin Gilmer, Balaji Lakshminarayanan

* Code available at https://github.com/google-research/augmix 

  Access Paper or Ask Questions

A Fourier Perspective on Model Robustness in Computer Vision


Jun 21, 2019
Dong Yin, Raphael Gontijo Lopes, Jonathon Shlens, Ekin D. Cubuk, Justin Gilmer


  Access Paper or Ask Questions

Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation


Jun 06, 2019
Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk


  Access Paper or Ask Questions

MNIST-C: A Robustness Benchmark for Computer Vision


Jun 05, 2019
Norman Mu, Justin Gilmer


  Access Paper or Ask Questions

Adversarial Examples Are a Natural Consequence of Test Error in Noise


Jan 29, 2019
Nic Ford, Justin Gilmer, Nicolas Carlini, Dogus Cubuk


  Access Paper or Ask Questions

Sanity Checks for Saliency Maps


Oct 28, 2018
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, Been Kim

* NIPS 2018 Camera Ready Version 

  Access Paper or Ask Questions

Relational inductive biases, deep learning, and graph networks


Oct 17, 2018
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu


  Access Paper or Ask Questions

Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values


Oct 08, 2018
Julius Adebayo, Justin Gilmer, Ian Goodfellow, Been Kim

* Workshop Track International Conference on Learning Representations (ICLR) 

  Access Paper or Ask Questions

Adversarial Spheres


Sep 10, 2018
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow


  Access Paper or Ask Questions

Motivating the Rules of the Game for Adversarial Example Research


Jul 20, 2018
Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl


  Access Paper or Ask Questions

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)


Jun 07, 2018
Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres


  Access Paper or Ask Questions

Adversarial Patch


May 17, 2018
Tom B. Brown, Dandelion Mané, Aurko Roy, Martín Abadi, Justin Gilmer


  Access Paper or Ask Questions

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability


Nov 08, 2017
Maithra Raghu, Justin Gilmer, Jason Yosinski, Jascha Sohl-Dickstein

* Accepted to NIPS 2017, code: https://github.com/google/svcca/ , new plots on Imagenet 

  Access Paper or Ask Questions

Neural Message Passing for Quantum Chemistry


Jun 12, 2017
Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl

* 14 pages 

  Access Paper or Ask Questions

Input Switched Affine Networks: An RNN Architecture Designed for Interpretability


Jun 12, 2017
Jakob N. Foerster, Justin Gilmer, Jan Chorowski, Jascha Sohl-Dickstein, David Sussillo

* ICLR 2107 submission: https://openreview.net/forum?id=H1MjAnqxg 

  Access Paper or Ask Questions

Deep Information Propagation


Apr 04, 2017
Samuel S. Schoenholz, Justin Gilmer, Surya Ganguli, Jascha Sohl-Dickstein


  Access Paper or Ask Questions