206 citations · 259 across the 2 of their papers we have counts for
3 papers
cs.HC2021★ 53 cited
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
Soya Park, April Wang, Ban Kawas +3
Data scientists face a steep learning curve in understanding a new domain for which they want to build machine learning (ML) models. While input from domain experts could offer val…
cs.CL2020★ 206 cited
A Survey of the State of Explainable AI for Natural Language Processing
Marina Danilevsky, Kun Qian, Ranit Aharonov +3
Recent years have seen important advances in the quality of state-of-the-art models, but this has come at the expense of models becoming less interpretable. This survey presents an…
stat.ML2015
Robust Partially-Compressed Least-Squares
Stephen Becker, Ban Kawas, Marek Petrik +1
Randomized matrix compression techniques, such as the Johnson-Lindenstrauss transform, have emerged as an effective and practical way for solving large-scale problems efficiently.…