Cover Image for Continual Learning with Yu Sun (Stanford CS)
Cover Image for Continual Learning with Yu Sun (Stanford CS)
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Continual Learning with Yu Sun (Stanford CS)

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About Event

Join us for our first research talk + dinner event at Stanford with Dr. Yu Sun, who is a pioneer in the continual learning field at Stanford and NVIDIA.

​In our previous reading groups, we had researchers from Anthropic, Physical Intelligence, and Periodic Labs, who presented their research in the Coding Benchmarks, VLA, and AI for Material Science domains.

​​​For this session, we'll be discussing several breakthrough papers in the continual learning and test-time training domains, including:

  • Learning to Discover at Test Time (link)

  • End-to-End Test-Time Training for Long Context (link)

We'll gather ~30-40 folks from different research backgrounds to go through the key sections of the research project, discuss results, and understand important research outcomes. Thanks to Fusion Fund and 1943 to collaborating on this event together!

Please make sure to sign up quickly, since this event fills up extremely fast.

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