22 citations · 29 across the 10 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2023★ 3 cited
Error Discovery by Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan +2
We present a method for identifying groups of test examples -- slices -- on which a model under-performs, a task now known as slice discovery. We formalize coherence -- a requireme…
cs.LG2019★ 22 cited
Explaining Deep Classification of Time-Series Data with Learned Prototypes
Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh +1
The emergence of deep learning networks raises a need for explainable AI so that users and domain experts can be confident applying them to high-risk decisions. In this paper, we l…