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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

, , , , , , and . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2668-2677. PMLR, (2018)

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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2673-2682. PMLR, (2018)A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes., , , , and . CoRR, (2021)Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation., , , , and . CoRR, (2019)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)A Loss Curvature Perspective on Training Instabilities of Deep Learning Models., , , , , , , , and . ICLR, OpenReview.net, (2022)Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach., , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 11056-11071. PMLR, (2022)The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization., , , , , , , , , and 3 other author(s). ICCV, page 8320-8329. IEEE, (2021)Motivating the Rules of the Game for Adversarial Example Research., , , , and . CoRR, (2018)AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty., , , , , and . CoRR, (2019)A Communication Game Related to the Sensitivity Conjecture., , and . Theory Comput., 13 (1): 1-18 (2017)