CORES Annual Symposium 2024
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Symposium 2024: Reproducibility in Machine Learning
May 21, 2024, Stanford University
ChemH-Neuroscience, John A. and Cynthia Fry Gunn Rotunda, E241
Agenda
| 12:30pm-1:00pm | Registration and Refreshments |
| 1:00pm-1:30pm | Welcome Address: David Studdert (Vice Provost and Dean of Research) & Russ Poldrack (Albert Ray Lang Professor of Psychology and Director, SDS Center for Open and Reproducible Science) |
| 1:30pm- 2:30pm | Keynote: Improving Reproducibility and Transparency in the Science of AI, Jesse Dodge (Allen Institute for AI) |
| 2:30pm-3:00pm | Reproducibility in the Age of Foundation Models, Jessica Forde (PhD Student, Brown University) |
| 3:00pm-3:30pm | Proving Test Set Contamination in Black Box Language Models, Nicole Meister (Stanford University) |
| 3:30pm-3:45pm | Break |
| 3:45-pm-4:00pm | Awards presented by Russell Poldrack |
| 4:00pm-4:45pm | Panel: Improving the Application of ML/AI in Science Moderator: Emma Brunskill, Stanford University
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| 4:45pm-5:00pm | Closing Remarks |
| 5:00pm-6:00pm | Networking and Light Refreshments |