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Workshop
Tue Dec 14 06:00 AM -- 12:20 PM (PST)
Out-of-distribution generalization and adaptation in natural and artificial intelligence
Joshua T Vogelstein · Weiwei Yang · Soledad Villar · Zenna Tavares · Johnathan Flowers · Onyema Osuagwu · Weishung Liu





Out-of-distribution (OOD) generalization and adaptation is a key challenge the field of machine learning (ML) must overcome to achieve its eventual aims associated with artificial intelligence (AI). Humans, and possibly non-human animals, exhibit OOD capabilities far beyond modern ML solutions. It is natural, therefore, to wonder (i) what properties of natural intelligence enable OOD learning (for example, is a cortex required, can human organoids achieve OOD capabilities, etc.), and (ii) what research programs can most effectively identify and extract those properties to inform future ML solutions? Although many workshops have focused on aspects of (i), it is through the additional focus of (ii) that this workshop will best foster collaborations and research to advance the capabilities of ML.


This workshop is designed to bring together the foremost leaders in natural and artificial intelligence, along with the known and unknown upcoming stars in the fields, to answer the above two questions. Our hope is that at the end of the workshop, we will have a head start on identifying a vision that will (1) formalize hypothetical learning mechanisms that enable OOD generalization and adaptation, and characterize their capabilities and limitations; (2) propose experiments to measure, manipulate, and model biological systems to inspire, test, and validate such hypotheses; and (3) implement those hypotheses in hardware/software/wetware solutions to close the empirical gap between natural and artificial intelligence capabilities.

Introduction (Introduction / Welcome Remarks)
General Discussion 1 - What is out of distribution (OOD) generalization and why is it important? with Yoshua Bengio, Leyla Isik, Max Welling (Discussion panel)
Break
Live Q&A Session 1 with Yoshua Bengio, Leyla Isik, Konrad Kording, Bernhard Scholkopf, Amit Sharma, Joshua Vogelstein, Weiwei Yang (Live Q&A)
Extended Live Q&A Session and Learning Salon with Joshua Vogelstein (Live Q&A)
Break
General Discussion 2 - What does the OOD problem mean to you and your field? with Anima Anandkumar, Terry Sejnowski, Chris White: General Discussion 2 (Discussion panel)
Break
Live Q&A Session 2 with Susan Athey, Yoshua Bengio, Sujeeth Bharadwaj, Jane Wang, Joshua Vogelstein, Weiwei Yang (Live Q&A)
Causality with Susan Athey, Konrad Kording, Amit Sharma (Discussion panel)
Continual with Sujeeth Bharadwaj, Gabriel Silva, Eric Traut, Jane Wang (Discussion panel)
Constraints with Doug Burger, Alysson Muotri, Ralph-Etienne-Cummings, Florian Engert (Discussion panel)
Curiosity with Chelsea Finn, Celeste Kidd, Timothy Verstynen (Discussion panel)
Compositional with Kevin Ellis, Judith Fan, Brenden Lake, Josh Tenenbaum (Discussion panel)