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Getting aligned on representational alignment., , , , , , , , , and 19 other author(s). CoRR, (2023)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 7480-7512. PMLR, (2023)ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness., , , , , and . ICLR, OpenReview.net, (2019)Are Vision Language Models Texture or Shape Biased and Can We Steer Them?, , , , , , , and . CoRR, (2024)Trivial or impossible - dichotomous data difficulty masks model differences (on ImageNet and beyond)., , , and . CoRR, (2021)To err is human? A functional comparison of human and machine decision-making.. University of Tübingen, Germany, (2022)Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)., , , and . ICLR, OpenReview.net, (2022)Don't trust your eyes: on the (un)reliability of feature visualizations., , , , and . CoRR, (2023)Intriguing properties of generative classifiers., , and . CoRR, (2023)Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution., , , , , , , , , and 5 other author(s). CoRR, (2023)