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Bookmark or Share- Sanmi Koyejo - Stanford University School of EngineeringSanmi Koyejo. Assistant Professor. Computer Science. November 9, 2023. I’m interested in thinking about artificial intelligence in a rigorous way. I came to Stanford because it is among the strongest universities in my areas of interest: machine learning and AI.
- Sanmi Koyejo - Center for Artificial Intelligence in Medicine & ImagingSanmi Koyejo. Assistant Professor of Computer Science.
- Sanmi Koyejo - Computer ScienceI lead Stanford Trustworthy AI Research (STAIR). STAIR works to develop the principles and practice of trustworthy machine learning, including fairness and robustness. Our applied research includes applications to healthcare and neuroimaging. For more details, see research and publications.
- Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo. View a PDF of the paper titled Are Emergent Abilities of Large Language Models a Mirage?, by Rylan Schaeffer and 2 other authors. Recent work claims that large language models display emergent abilities, abilities not present in smaller-scale models that are present in larger-scale models.
- [1903.03934] Asynchronous Federated Optimization - arXiv.orgCong Xie, Sanmi Koyejo, Indranil Gupta. Federated learning enables training on a massive number of edge devices. To improve flexibility and scalability, we propose a new asynchronous federated optimization algorithm.
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