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 |
Fri, 15 May 2020
Jayaraman Thiagarajan joins us to discuss the recent paper Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models. |
Fri, 8 May 2020
What does it mean to understand a neural network? That’s the question posted on this arXiv paper. Kyle speaks with Tim Lillicrap about this and several other big questions.
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Fri, 1 May 2020
Dan Elton joins us to discuss self-explaining AI. What could be better than an interpretable model? How about a model wich explains itself in a conversational way, engaging in a back and forth with the user. We discuss the paper Self-explaining AI as an alternative to interpretable AI which presents a framework for self-explainging AI.
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