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Excessive Invariance Causes Adversarial Vulnerability, , , and . (2018)cite arxiv:1811.00401.ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness., , , , , and . CoRR, (2018)Towards the first adversarially robust neural network model on MNIST., , , and . ICLR (Poster), OpenReview.net, (2019)Excessive Invariance Causes Adversarial Vulnerability., , , and . ICLR (Poster), OpenReview.net, (2019)Benchmarking Unsupervised Object Representations for Video Sequences., , , , , , and . J. Mach. Learn. Res., (2021)Playing repeated games with Large Language Models., , , , , and . CoRR, (2023)Unsupervised Object Learning via Common Fate., , , , , , , , and . CoRR, (2021)Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding., , , , , , and . CoRR, (2020)Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming., , , , , , , and . CoRR, (2019)Closing the Generalization Gap in One-Shot Object Detection., , and . CoRR, (2020)