Adam Perer — accepted AI-conference papers

2021

TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora

Denis Newman-Griffis, Venkatesh Sivaraman, Adam Perer, Eric Fosler-Lussier, Harry Hochheiser

NAACL 2021system demonstrations

Embeddings of words and concepts capture syntactic and semantic regularities of language; however, they have seen limited use as tools to study characteristics of different corpora and how they relate to one another. We introduce TextEssence, an interactive system designed to enable comparative anal…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2020

Regularizing Black-box Models for Improved Interpretability

Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar

NeurIPS 2020poster

Most of the work on interpretable machine learning has focused on designing either inherently interpretable models, which typically trade-off accuracy for interpretability, or post-hoc explanation systems, whose explanation quality can be unpredictable. Our method, ExpO, is a hybridization of these…

Cited by 69 Source ↗PDF ↗code ↗Scholar ↗