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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV), , , , , , и . Proceedings of the 35th International Conference on Machine Learning, том 80 из Proceedings of Machine Learning Research, стр. 2668-2677. PMLR, (2018)Underspecification Presents Challenges for Credibility in Modern Machine Learning., , , , , , , , , и 30 other автор(ы). J. Mach. Learn. Res., (2022)Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts., , , , , и . WWW, стр. 953-964. International World Wide Web Conferences Steering Committee / ACM, (2013)High-resolution imaging reveals highly selective nonface clusters in the fusiform face area., , и . Nature Neuroscience, 9 (9): 1177--1185 (2006)Direct Uncertainty Prediction for Medical Second Opinions, , , , , , и . (2018)Towards Expert-Level Medical Question Answering with Large Language Models., , , , , , , , , и 21 other автор(ы). CoRR, (2023)Identifying Distributed Object Representations in Human Extrastriate Visual Cortex., , и . NIPS, стр. 1169-1176. (2005)Scientific Discovery by Generating Counterfactuals using Image Translation., , , , , , , , , и 3 other автор(ы). CoRR, (2020)Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program., , , , , , , , , и 22 other автор(ы). CoRR, (2018)Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation., , , , , , и . CoRR, (2020)