ATTRIB 2023 (@ NeurIPS)

1st Workshop on Attributing Model Behavior at Scale

New Orleans Convention Center (Room TBD)

Quick details: OpenReview submission portal, format guidelines here, deadline September 29 (now extended!)

Contact info: attrib-neurips23 [at] googlegroups [dot] com

What makes ML models tick? How do we attribute model behavior to the training data, algorithm, architecture, or scale used in training?

Recently-developed algorithmic innovations and large-scale datasets have given rise to machine learning models with impressive capabilities. However, there is much left to understand in how these different factors combine to give rise to observed behaviors. For example, we still do not fully understand how the composition of training datasets influence downstream model capabilities, how to attribute model capabilities to subcomponents inside the model, and which algorithmic choices really drive performance.

A common theme underlying all these challenges is model behavior attribution. That is, the need to tie model behavior back to factors in the machine learning pipeline—such as the choice of training dataset or particular training algorithm—that we can control or reason about. This workshop aims to bring together researchers and practitioners with the goal of advancing our understanding of model behavior attribution.

Call for Papers

Submissions open August 1st!
We are soliciting papers along two tracks: Along these two tracks, we welcome submissions pertaining to any aspect of model behavior attribution. For example:

Submission Instructions

  1. Format submissions as follows:
    • 3-6 pages (main track) or 2-4 pages (idea track)
    • NeurIPS 2023 paper formatting (download here)
    • Appendix included in the same PDF as the main body
    • No Appendix page limit
  2. When ready, submit to OpenReview (note our workshop is non-archival)

Important Dates

August 1: Submission portal opens

September 23: Deadline for both idea track and main track papers

September 29 (AOE): *Extended* Deadline for both idea track and main track papers

October 20: Decision notification for both idea track and main track


Coming soon!