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Recent studies of generalization in deep learning have observed a puzzling trend: accuracies of models on one data distribution are approximately linear functions of the accuracies on another distribution.
Differential privacy
C. Dwork · 2006
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Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
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ImageNet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Learning multiple layers of features from tiny images
A. Krizhevsky · 2009
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Distributionally robust optimization under moment uncertainty with application to data-driven problems
E. Delage and Y. Ye · 2010
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Robust solutions of optimization problems affected by uncertain probabilities
A. Ben-Tal, D. Den Hertog, A. De Waegenaere, B. Melenberg, and G. Rennen · 2013
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The algorithmic foundations of differential privacy
C. Dwork, A. Roth, et al · 2014
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Distributionally robust logistic regression
S. Shafieezadeh Abadeh, P. M. Mohajerin Esfahani, and D. Kuhn · 2015
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Encyclopedia of Distances
M. M. Deza and E. Deza · 2018
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Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations
P. M. Esfahani and D. Kuhn · 2018
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Marginal singularity, and the benefits of labels in covariate-shift
S. Kpotufe and G. Martinet · 2018
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Certifying some distributional robustness with principled adversarial training
A. Sinha, H. Namkoong, R. Volpi, and J. Duchi · 2018
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Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
A. Barbu, D. Mayo, J. Alverio, W. Luo, C. Wang, D. Gutfreund, J. Tenenbaum, and B. Katz · 2019
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A meta-analysis of overfitting in machine learning
R. Roelofs, V. Shankar, B. Recht, S. Fridovich-Keil, M. Hardt, J. Miller, and L. Schmidt · 2019
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S. Sagawa, P. W. Koh, T. B. Hashimoto, and P. Liang · 2019
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Cold case: The lost MNIST digits
C. Yadav and L. Bottou · 2019
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Distributionally robust losses against mixture covariate shifts
J. C. Duchi, T. Hashimoto, and H. Namkoong · 2020
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The effect of natural distribution shift on question answering models
J. Miller, K. Krauth, B. Recht, and L. Schmidt · 2020
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D. Hendrycks, K. Zhao, S. Basart, J. Steinhardt, and D. Song · 2019
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Model similarity mitigates test set overuse
H. Mania, J. Miller, L. Schmidt, M. Hardt, and B. Recht · 2019
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Do ImageNet classifiers generalize to ImageNet?
B. Recht, R. Roelofs, L. Schmidt, and V. Shankar · 2019
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V. Shankar, R. Roelofs, H. Mania, A. Fang, B. Recht, and L. Schmidt · 2020
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Measuring robustness to natural distribution shifts in image classification
R. Taori, A. Dave, V. Shankar, N. Carlini, B. Recht, and L. Schmidt · 2020
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Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
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