[D] Percy Liang on ML Robustness, Foundation Models, and Reproducibility for AI experiments with CodaLab

Web: https://www.reddit.com/r/MachineLearning/comments/sf1f7h/d_percy_liang_on_ml_robustness_foundation_models/

Hi! Just want to share the latest episode of the gradient podcast, where I talked with Percy Liang, an Associate Professor of Computer Science at Stanford University and the director of the Center for Research on Foundation Models.

Percy Liang’s research spans many topics in machine learning and natural language processing, including robustness, interpretability, semantics, and reasoning.

We touch on the following topics / papers:

• Start in research
• Semantic Parsing
• Getting ideas for research directions from students
• Foundation Models …

ai machinelearning ml models reproducibility