NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice

The workshop schedule is as follows (all times in the CT timezone, i.e., local time in New Orleans).

Date: December 16, 2023

Room: 217 -- 219

NeurIPS link: https://neurips.cc/virtual/2023/workshop/66514 (requires a NeurIPS registration for live stream)

All papers will be presented in both poster sessions.

Note: slides of invited talks will be made available here soon.

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09:00-09:15	Opening Remarks
09:15-09:45	Invited Talk: Yuki M Asano Modern Self-Supervised Image Learning from Videos [slides]
09:45-10:15	Invited Talk: Diane Larlus Visual Representations that Transfer [slides]
10:15-10:45	Invited Talk: Alyosha Efros The Revolution Will not Be Supervised... Almost 10 Years Later [slides]
10:45-11:00	Coffee Break
11:00-11:30	Invited Talk: Abhinav Gupta Self-supervised Learning: Towards Rich Representations?
11:30-12:00	Invited Talk: Chelsea Finn Updating Language Models without Human Supervision [slides]
12:00-13:00	Poster Session I
13:00-14:15	Lunch Break
14:15-14:45	Invited Talk: Xinyun Chen Self-Improvement with Large Language Models [slides]
14:45-15:00	Coffee break
15:00-16:00	Oral Talks: Bridging State and History Representations: Understanding Self-Predictive RL Learning Orthonormal Features in Self-Supervised Learning using Functional Maximal Correlation Learning to Embed Time Series Patches Independently On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning
16:00-17:30	Poster Session II

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