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cs.LG2026
Counterfactual Training: Teaching Models Plausible and Actionable Explanations
Patrick Altmeyer, Aleksander Buszydlik, Arie van Deursen +1
We propose a novel training regime termed counterfactual training that leverages counterfactual explanations to increase the explanatory capacity of models. Counterfactual explanat…
cs.LG2025★ 1 cited
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy
Lorena Poenaru-Olaru, June Sallou, Luis Cruz +2
The reliability of machine learning (ML) software systems is heavily influenced by changes in data over time. For that reason, ML systems require regular maintenance, typically bas…