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Excessive Invariance Causes Adversarial Vulnerability, , , и . (2018)cite arxiv:1811.00401.Excessive Invariance Causes Adversarial Vulnerability., , , и . ICLR (Poster), OpenReview.net, (2019)Towards the first adversarially robust neural network model on MNIST., , , и . ICLR (Poster), OpenReview.net, (2019)ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness., , , , , и . CoRR, (2018)Closing the Generalization Gap in One-Shot Object Detection., , и . CoRR, (2020)Playing repeated games with Large Language Models., , , , , и . CoRR, (2023)Disentanglement and Generalization Under Correlation Shifts., , , , , и . CoLLAs, том 199 из Proceedings of Machine Learning Research, стр. 116-141. PMLR, (2022)The Notorious Difficulty of Comparing Human and Machine Perception., , , , , и . CoRR, (2020)Partial success in closing the gap between human and machine vision., , , , , , и . NeurIPS, стр. 23885-23899. (2021)Neural system identification for large populations separating "what" and "where"., , , и . NIPS, стр. 3506-3516. (2017)