Data Skeptic

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



Direct download: estimating-the-size-of-language-acquisition.mp3
Category:general -- posted at: 2:36pm PDT

Jayaraman Thiagarajan joins us to discuss the recent paper Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.

Direct download: interpretable-ai-in-healthcare.mp3
Category:general -- posted at: 8:49am PDT

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.



Direct download: understanding-neural-networks.mp3
Category:general -- posted at: 10:07am PDT

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.



Direct download: self-explaining-ai.mp3
Category:general -- posted at: 10:23pm PDT

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