Only 24 days to go before reaching an important milestone!

The deadline for our #NeurIPS2022 InfoCog workshop is approaching soon [updated 🗓️: Sep 22]. We expect to have some funding to support a few selected presenters of accepted papers, and a special issue of Open Mind associated with the workshop! More info 👇 sites.google.com/view/infocog-n…

#NeurIPS2022 authors of the accepted papers at both the main track and D&B track, please log in to the author console and answer the “in-person presentation” question asap in order for us to plan accordingly.

Don't just believe the nice things other people say about Eugene. I also think he's great!

Super grateful for this chance to continue exciting *interdisciplinary* research. Thanks to my advisor, Julie Shah, but also so many collaborators from other departments (Roger Levy and Noga Zaslavsky) and inspiring labmates and researchers.

How to guarantee successful imitation of multi-step tasks despite arbitrary perturbations? 1-2 demos + a logic formula of task specification. See our #CoRL2022 oral talk today at 4:30p! Paper: yanweiw.github.io/tli (with Nadia Figueroa, PhD @shenli_robotics Ankit Shah Julie Shah)

** New ICLR Spotlight Paper 2023 ** Excited to announce our work building inherently interpretable Deep RL agents that doesn't sacrifice performance, and calibrates appropriate user trust. (details below...) openreview.net/forum?id=hWwY_… By Eoin Kenny, Mycal Tucker, and Julie Shah

Announcing the First Representational Alignment Workshop! RSVP - forms.gle/gbEEZHvP1jJqkV… Organized by: Ilia Sucholutsky @drewlinsley Lukas Muttenthaler Katherine Hermann Jascha Achterberg Katie Collins Andi Peng Andreea Bobu 🐿 Sherol Chen, PhD 🎷🙏 🎮 📚 Richard Zhang Robert Geirhos, Sunayana Rane (1/6)

Humans use abstractions for data-efficient learning. We wish for neural networks to do the same. In our proposed human-in-the-loop framework, we automatically generate a spectrum of abstractions and allow users to deploy task-appropriate ones. To appear at #NeurIPS2023! [1/n]