Learning Generalizable Visual Representations - Kate Saenko
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Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidenceTeaches methods for learning visual representations that generalize across different datasets and tasks. Covers a central challenge in computer vision: creating reusable learned features.
A 62-minute video from Institute for Advanced Study: “Learning Generalizable Visual Representations - Kate Saenko”.
Video by Institute for Advanced Study, played through YouTube's embedded player.
Part of 2022 Program for Women and Mathematics: The Mathematics of Machine Learning