3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
ConceptDistil: Model-Agnostic Distillation of Concept Explanations
João Bento Sousa, Ricardo Moreira, Vladimir Balayan +2
Concept-based explanations aims to fill the model interpretability gap for non-technical humans-in-the-loop. Previous work has focused on providing concepts for specific models (eg…
cs.LG2022★ 2 cited
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists
João Palmeiro, Beatriz Malveiro, Rita Costa +3
Machine learning on data streams is increasingly more present in multiple domains. However, there is often data distribution shift that can lead machine learning models to make inc…