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Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations.

, , , and . CoRR, (2019)

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Explaining Website Reliability by Visualizing Hyperlink Connectivity., , , , , , , and . IEEE VIS (Short Papers), page 26-30. IEEE, (2022)RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization., , , , , , , and . Proc. ACM Hum. Comput. Interact., 5 (CSCW1): 181:1-181:26 (2021)CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization, , , , , , , and . (2020)cite arxiv:2004.15004Comment: 11 pages, 14 figures. For a demo video, see https://youtu.be/HnWIHWFbuUQ For a live demo, visit https://poloclub.github.io/cnn-explainer/.Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations., , , and . CoRR, (2019)SIDE: Representation Learning in Signed Directed Networks., , , and . WWW, page 509-518. ACM, (2018)Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks., , , , , , and . IEEE VIS (Short Papers), page 271-275. IEEE, (2020)Explaining Website Reliability by Visualizing Hyperlink Connectivity., , , , , , , and . CoRR, (2022)Interactive Scalable Discovery Of Concepts, Evolutions, And Vulnerabilities In Deep Learning.. Georgia Institute of Technology, Atlanta, GA, USA, (2024)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/73145).Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers., , , , , , , , , and . CIKM, page 3071-3076. ACM, (2020)MisVis: Explaining Web Misinformation Connections via Visual Summary., , , , , , , and . CHI Extended Abstracts, page 228:1-228:6. ACM, (2022)