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A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes.

, , , and . CVPR, page 19065-19075. IEEE, (2022)

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Adversarial Robustness of Flow-Based Generative Models., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3795-3805. PMLR, (2020)Unrolling the Shutter: CNN to Correct Motion Distortions., , and . CVPR, page 2345-2353. IEEE Computer Society, (2017)Winning Lottery Tickets in Deep Generative Models., , and . AAAI, page 8038-8046. AAAI Press, (2021)A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes., , , and . CVPR, page 19065-19075. IEEE, (2022)Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation., , and . NeurIPS, (2020)JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation., , , , , , and . CoRR, (2024)Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs., , , and . CoRR, (2018)Robust Learning under Distributional Shifts.. University of Maryland, College Park, MD, USA, (2021)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/27823).Unsupervised anomaly detection with adversarial mirrored autoencoders., , , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 365-375. AUAI Press, (2021)Generate To Adapt: Aligning Domains using Generative Adversarial Networks., , , and . CoRR, (2017)