Interpretability Beyond Feature Attribution
Vídeos relacionados
31:14
MLconf SF 2022: Scaling up Lyft’s Growth via Causal ML and Bandits by Lei Tang @lyft
31:54
MLconf SF 2022: Semantic Label Representation and Multimodal Categorization, Binwei Yang @Walmart
24:52
AlphaFold - The Most Useful Thing AI Has Ever Done
54:35
A Roadmap for the Rigorous Science of Interpretability | Finale Doshi-Velez | Talks at Google
2:02:00
Ex-Google Officer: You Only Have 3 Years Left Before It Hits! - Mo Gawdat
1:18:42
25. Interpretability
56:09
Quantitative Testing with Concept Activation Vectors (TCAV) -- Been Kim (Google) - 2018
1:15:39
Do LLMs Understand? AI Pioneer Yann LeCun Spars with DeepMind’s Adam Brown.
1:40:22
#047 Interpretable Machine Learning - Christoph Molnar
1:01:41
This is not the AI we were promised | The Royal Society
59:03
Interpretability: Understanding how AI models think
28:07