Computer Vision is Not Perfect
Computer Vision is not Perfect Julia Evans joins us help answer the question why do neural networks think a panda is a vulture. Kyle talks to Julia about her hands-on work fooling neural networks. Julia runs Wizard Zines which publishes works such as Your Linux Toolbox. You can find her on Twitter @b0rk
10 Huhti 202026min
Uncertainty Representations
Jessica Hullman joins us to share her expertise on data visualization and communication of data in the media. We discuss Jessica's work on visualizing uncertainty, interviewing visualization designers on why they don't visualize uncertainty, and modeling interactions with visualizations as Bayesian updates. Homepage: http://users.eecs.northwestern.edu/~jhullman/ Lab: MU Collective
4 Huhti 202039min
Visualizing Uncertainty
20 Maalis 202032min
Interpretability Tooling
Pramit Choudhary joins us to talk about the methodologies and tools used to assist with model interpretability.
13 Maalis 202042min
Shapley Values
Kyle and Linhda discuss how Shapley Values might be a good tool for determining what makes the cut for a home renovation.
6 Maalis 202020min
Anchors as Explanations
We welcome back Marco Tulio Ribeiro to discuss research he has done since our original discussion on LIME. In particular, we ask the question Are Red Roses Red? and discuss how Anchors provide high precision model-agnostic explanations. Please take our listener survey.
28 Helmi 202037min
Mathematical Models of Ecological Systems
22 Helmi 202036min
