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Measuring Robustness to Natural Distribution Shifts in Image
  Classification
v1v2 (latest)

Measuring Robustness to Natural Distribution Shifts in Image Classification

1 July 2020
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
    OOD
ArXiv (abs)PDFHTML

Papers citing "Measuring Robustness to Natural Distribution Shifts in Image Classification"

5 / 355 papers shown
Title
Understanding and Improving Fast Adversarial Training
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko
Nicolas Flammarion
AAML
110
295
0
06 Jul 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Alexander Robey
Hamed Hassani
George J. Pappas
OOD
111
43
0
20 May 2020
Can we have it all? On the Trade-off between Spatial and Adversarial
  Robustness of Neural Networks
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
88
12
0
26 Feb 2020
Do Image Classifiers Generalize Across Time?
Do Image Classifiers Generalize Across Time?
Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
148
83
0
05 Jun 2019
Detecting Local Insights from Global Labels: Supervised & Zero-Shot
  Sequence Labeling via a Convolutional Decomposition
Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decomposition
A. Schmaltz
68
8
0
04 Jun 2019
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