UniReps 2024 Awards

A gallery of the UniReps 2024 Awards winners and photos

The second edition of the UniReps Workshop at NeurIPS 2024 was a huge success! Building on the momentum from last year, we were thrilled to welcome over 1,000 participants from academia and industry for a day packed with engaging talks, lively discussions, and an exciting poster session. We received 106 submissions this year, including 25 fantastic proceedings papers that will soon be published in the workshop volume.

We couldn’t have done it without all of you! A big thank you to the authors, our amazing program committee of 181 members, the participants who made the event so special, and our sponsors for their incredible support.

We were also proud to highlight some exceptional work through our awards. Here’s a look at the winners and their inspiring contributions.


Best Paper Awards

Proceedings Track

Authors: Sarah Harvey, David Lipshutz, and Alex H. Williams

Title: “What Representational Similarity Measures Imply about Decodable Information.”

Best Paper Proceedings Track Award Ceremony

Extended Abstracts Track

Authors: Richard Antonello and Emily Shana Cheng

Title: “Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models.”

Best Paper Extended Abstracts Track Award Ceremony

Honorable Mentions

Proceedings Track

Author: Alex H. Williams

Title: “Equivalence between Representational Similarity Analysis, Centered Kernel Alignment, and Canonical Correlations Analysis.”

Honorable Mention Proceedings Track Award Ceremony

Extended Abstracts Track

Authors: Chenyu Wang, Sharut Gupta, Xinyi Zhang, Sana Tonekaboni, Stefanie Jegelka, Tommi Jaakkola, and Caroline Uhler

Title: “An Information Criterion for Controlled Disentanglement of Multimodal Data.”

Honorable Mention Extended Abstracts Track Award Ceremony

Best Reviewer Award

A special Best Reviewer Award was given to Abhi Kamboj for their exceptional feedback.

Best Reviewer Award Ceremony

Acknowledgments

🔴 Congratulations to all the award recipients for their outstanding work, and a heartfelt thank you to everyone who participated in the workshop. The UniReps community keeps growing! We look forward to seeing you again next year! 🔵