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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
- Dan Hendrycks, Kevin Gimpel
- Computer ScienceICLR
- 7 October 2016
TLDR
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
- Dan Hendrycks, Thomas G. Dietterich
- Computer ScienceICLR
- 4 July 2018
TLDR
Deep Anomaly Detection with Outlier Exposure
- Dan Hendrycks, Mantas Mazeika, Thomas G. Dietterich
- Computer ScienceICLR
- 27 September 2018
TLDR
Gaussian Error Linear Units (GELUs)
- Dan Hendrycks, Kevin Gimpel
- Computer Science
- 27 June 2016
TLDR
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
- Dan Hendrycks, Norman Mu, E. D. Cubuk, Barret Zoph, J. Gilmer, Balaji Lakshminarayanan
- Computer ScienceICLR
- 5 December 2019
TLDR
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
- Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, D. Song
- Computer ScienceNeurIPS
- 28 June 2019
TLDR
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
- Dan Hendrycks, Steven Basart, J. Gilmer
- Computer ScienceIEEE/CVF International Conference on Computer…
- 29 June 2020
TLDR
Natural Adversarial Examples
- Dan Hendrycks, Kevin Zhao, Steven Basart, J. Steinhardt, D. Song
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 16 July 2019
TLDR
Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units
- Dan Hendrycks, Kevin Gimpel
- Computer ScienceArXiv
- 27 June 2016
TLDR
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
- Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel
- Computer ScienceNeurIPS
- 14 February 2018
TLDR
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