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Learning Data Augmentation Strategies for Object Detection., , , , , and . CoRR, (2019)Using learned optimizers to make models robust to input noise., , , , and . CoRR, (2019)SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition., , , , , , and . CoRR, (2019)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation., , , , and . CoRR, (2019)Realistic Evaluation of Semi-Supervised Learning Algorithms., , , , and . ICLR (Workshop), OpenReview.net, (2018)∂PV: An end-to-end differentiable solar-cell simulator., , , , , and . Comput. Phys. Commun., (2022)Adversarial Examples Are a Natural Consequence of Test Error in Noise., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2280-2289. PMLR, (2019)Computational caches., , , , , , and . SYSTOR, page 8:1-8:7. ACM, (2013)ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring., , , , , , and . CoRR, (2019)