Interpretability Beyond Feature Attribution

Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim, Senior Research Scientist, Google Brain Presented at ...

Interpretability Beyond Feature Attribution

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai To learn ...

Been Kim, Research Scientist at Google Brain​ delivers a Technical Vision Talk at WiDS Stanford University on March 2, 2020: In ...

Paper https://arxiv.org/abs/2012.02748 Code https://git.sr.ht/~hyphaebeast/challenging-xai Demo ...

More videos on http://video.ias.edu.

Paper link: https://arxiv.org/abs/1711.11279 Presentation link: ...

Been Kim (Google Brain) https://simons.berkeley.edu/talks/tbd-72 Frontiers of Deep Learning.

Sorry everyone, I didn't have the interest to take this apart completely. Uploading for completeness of the Keras Code Examples.

Feature Attributions and Counterfactual Explanations Can Be Manipulated

Been Kim is a staff research scientist at Google Brain. Her research focuses on improving

Paper short review:

Captum is an open source, extensible library for model

Deep neural network models have been extremely successful for natural language processing (NLP) applications in recent years, ...

Abstract: With widespread use of machine learning, there have been serious societal consequences from using black box models ...

Paper: The effectiveness of