Episode 14 | Been Kim

Interactive and Interpretable Machine Learning Models for Human Machine Collaboration

Papers and Links:

• Been's Homepage
• Thesis
• Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
• Sanity Checks for Saliency Maps
• The (un) reliability of saliency methods

Listen: