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cs.LG2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
Davide La Torre, Danilo Liuzzi, Marco Repetto +1
The training phase is the most important stage during the machine learning process. In the case of labeled data and supervised learning, machine training consists in minimizing the…
cs.LG2021
Multicriteria interpretability driven Deep Learning
Marco Repetto
Deep Learning methods are renowned for their performances, yet their lack of interpretability prevents them from high-stakes contexts. Recent model agnostic methods address this pr…