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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 . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2668-2677. PMLR, (2018)Google+ Ripples: a native visualization of information flow, , , , , , , and . Proceedings of the 22nd international conference on World Wide Web, page 1389--1398. International World Wide Web Conferences Steering Committee, (2013)Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, , , , , , , , , and 2 other author(s). (2016)cite arxiv:1611.04558.TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, , , , , , , , , and 30 other author(s). (2015)Software available from tensorflow.org.Tag Clouds and the Case for Vernacular Visualization, and . interactions, 15 (4): 49-52 (2008)Bloggers' Expectations of Privacy and Accountability: An Initial Survey.. J. Comput. Mediat. Commun., (2005)An Interpretability Illusion for BERT., , , , , , and . CoRR, (2021)Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation., , , , , , , , , and 2 other author(s). Trans. Assoc. Comput. Linguistics, (2017)Through the looking glass: talking about the world with visualization., and . SIGCSE, page 655-656. ACM, (2012)Talk Before You Type: Coordination in Wikipedia., , , and . HICSS, page 78. IEEE Computer Society, (2007)