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

B. Kim, M. Wattenberg, J. Gilmer, C. Cai, J. Wexler, F. Viegas, и R. sayres. Proceedings of the 35th International Conference on Machine Learning, том 80 из Proceedings of Machine Learning Research, стр. 2668-2677. PMLR, (2018)

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Rory Tews

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Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)B. Kim, M. Wattenberg, J. Gilmer, C. Cai, J. Wexler, F. Viegas, и R. sayres. 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.A. D'Amour, K. Heller, D. Moldovan, B. Adlam, B. Alipanahi, A. Beutel, C. Chen, J. Deaton, J. Eisenstein, M. Hoffman и 30 other автор(ы). J. Mach. Learn. Res., (2022)Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts.V. Navalpakkam, L. Jentzsch, R. Sayres, S. Ravi, A. Ahmed, и A. Smola. WWW, стр. 953-964. International World Wide Web Conferences Steering Committee / ACM, (2013)Direct Uncertainty Prediction for Medical Second OpinionsM. Raghu, K. Blumer, R. Sayres, Z. Obermeyer, R. Kleinberg, S. Mullainathan, и J. Kleinberg. (2018)Towards Expert-Level Medical Question Answering with Large Language Models.K. Singhal, T. Tu, J. Gottweis, R. Sayres, E. Wulczyn, L. Hou, K. Clark, S. Pfohl, H. Cole-Lewis, D. Neal и 21 other автор(ы). CoRR, (2023)High-resolution imaging reveals highly selective nonface clusters in the fusiform face area.K. Grill-Spector, R. Sayres, и D. Ress. Nature Neuroscience, 9 (9): 1177--1185 (2006)Identifying Distributed Object Representations in Human Extrastriate Visual Cortex.R. Sayres, D. Ress, и K. Grill-Spector. NIPS, стр. 1169-1176. (2005)Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV).B. Kim, M. Wattenberg, J. Gilmer, C. Cai, J. Wexler, F. Viégas, и R. Sayres. ICML, том 80 из Proceedings of Machine Learning Research, стр. 2673-2682. PMLR, (2018)Direct Uncertainty Prediction for Medical Second Opinions.M. Raghu, K. Blumer, R. Sayres, Z. Obermeyer, R. Kleinberg, S. Mullainathan, и J. Kleinberg. ICML, том 97 из Proceedings of Machine Learning Research, стр. 5281-5290. PMLR, (2019)Exploring Principled Visualizations for Deep Network Attributions.M. Sundararajan, J. Xu, A. Taly, R. Sayres, и A. Najmi. IUI Workshops, том 2327 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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