STAY SAFE: Check Building Occupancy
Laptop/DesktopMobile Device
In the News

September 3, 2020

TWIML AI Podcast

Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh

Sameer’s work centers on large-scale and interpretable machine learning applied to information extraction and natural language processing. We caught up with Sameer right after he was awarded the best paper award at ACL 2020 for his work on Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. In our conversation, we explore CheckLists, the task-agnostic methodology for testing NLP models introduced in the paper. We also discuss how well we understand the cause of pitfalls or failure modes in deep learning models, Sameer’s thoughts on embodied AI, and his work on the now famous LIME paper, which he co-authored alongside Carlos Guestrin.

Listen below or at the TWIML AI Podcast.


Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh

< Previous
How Has COVID-19 Affected Software Development?
Next >
Colleges reopen with an assist from tech

Media interested in interviewing ICS faculty, students or alumni should contact Matt Miller at (949) 824-1562 or via email at matt.miller@uci.edu.