
Alberto Hojel
CEO of Lucid AI, ML Researcher at UC Berkeley, YC W25
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Finding Visual Task Vectors
January 1, 2024A research paper presented at ECCV 2024 and Mechanistic Interpretability Workshop ICML 2024, co-authored with Yutong Bai, Trevor Darrell, Amir Globerson, and Amir Bar. The paper explores leveraging task vectors from visual prompting models to guide model behavior, improving performance and speed.
The Journey to my first ECCV
A blog post detailing Alberto Hojel's experience and learnings as an undergraduate getting into ML research and making it to ECCV.
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