Mon, 27 July 2020
Moses Namara from the HATLab joins us to discuss his research into the interaction between privacy and human-computer interaction.
Direct download: human-computer-interaction-and-online-privacy.mp3
Category:general -- posted at: 2:43pm PDT |
Mon, 20 July 2020
Mark Glickman joins us to discuss the paper Data in the Life: Authorship Attribution in Lennon-McCartney Songs.
Direct download: authorship-attribution-of-lennon-mccartney-songs.mp3
Category:general -- posted at: 8:00am PDT |
Fri, 10 July 2020
Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it’s accompanying codebase found here. Erik mentions the GANspace collab notebook which is a rapid way to try these ideas out for yourself. |
Mon, 6 July 2020
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Fri, 26 June 2020
Sungsoo Ray Hong joins us to discuss the paper Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. |
Fri, 19 June 2020
Deb Raji joins us to discuss her recent publication Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing. |
Fri, 12 June 2020
Uri Hasson joins us this week to discuss the paper Robust-fit to Nature: An Evolutionary Perspective on Biological (and Artificial) Neural Networks.
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Fri, 5 June 2020
Deep neural networks are undeniably effective. They rely on such a high number of parameters, that they are appropriately described as “black boxes”. While black boxes lack desirably properties like interpretability and explainability, in some cases, their accuracy makes them incredibly useful. But does achiving “usefulness” require a black box? Can we be sure an equally valid but simpler solution does not exist? Cynthia Rudin helps us answer that question. We discuss her recent paper with co-author Joanna Radin titled (spoiler warning)…
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Sat, 30 May 2020
Daniel Kang joins us to discuss the paper Testing Robustness Against Unforeseen Adversaries.
Direct download: robustness-to-unforeseen-adversarial-attacks.mp3
Category:general -- posted at: 8:29am PDT |
Fri, 22 May 2020
Frank Mollica joins us to discuss the paper Humans store about 1.5 megabytes of information during language acquisition
Direct download: estimating-the-size-of-language-acquisition.mp3
Category:general -- posted at: 2:36pm PDT |
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