Eric Wallace

ericwallace@berkeley.edu // Scholar // GitHub // Twitter



I am currently at AI2 working with Matt Gardner and Sameer Singh (UC Irvine). In Fall 2019, I will begin a Ph.D. at UC Berkeley with Dan Klein and Dawn Song.

My current research focuses on interpreting, attacking, and understanding machine learning models, especially for NLP. For example, designing new interpretation methods [1,2], understanding when and why neural models fail [3], and crafting adversarial attacks for NLP systems [4].

I previously attended the University of Maryland, where I worked with Jordan Boyd-Graber. I interned at AI2 in 2019 and Lyft Self Driving in 2018.


  • May 2019: Two papers accepted to ACL.
  • April 2019: Our paper Trick Me If You Can was accepted to TACL 2019.
  • April 2019: Our paper on a second-order interpretation method was accepted to ICML 2019.
  • Jan. 2019: Graduated from UMD and moved to the Allen Institute for AI (AI2).
  • Nov. 2018: Presented two works at EMNLP 2018 in Brussels, Belgium. Video here.
  • Sep. 2018: We're hosting a competition to develop Question Answering systems that can combat adversarial users
  • Aug. 2018: Paper on a new method to interpret neural NLP models accepted at EMNLP Interpretability Workshop
  • Aug. 2018: Paper on the difficulties of interpreting neural models accepted at EMNLP
  • May. 2018: Joining Lyft Self Driving as an intern this Summer in Palo Alto, CA


publications


Fantastic Collaborators: Shi Feng, Sewon Min, Yizhong Wang, Matt Gardner, Sameer Singh, Jordan Boyd-Graber, and many others

Mohit makes great websites