25 citations · 106 across the 16 of their papers we have counts for
5 papers · 1 filter
Is It Worth the (Environmental) Cost? Limited Evidence for Temporal Adaptation via Continuous Training
Giuseppe Attanasio, Debora Nozza, Federico Bianchi +1
Language is constantly changing and evolving, leaving language models to become quickly outdated. Consequently, we should continuously update our models with new data to expose the…
EvalRS: a Rounded Evaluation of Recommender Systems
Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel +4
Much of the complexity of Recommender Systems (RSs) comes from the fact that they are used as part of more complex applications and affect user experience through a varied range of…
ferret: a Framework for Benchmarking Explainers on Transformers
Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura +1
As Transformers are increasingly relied upon to solve complex NLP problems, there is an increased need for their decisions to be humanly interpretable. While several explainable AI…
Contrastive language and vision learning of general fashion concepts
Patrick John Chia, Giuseppe Attanasio, Federico Bianchi +5
The steady rise of online shopping goes hand in hand with the development of increasingly complex ML and NLP models. While most use cases are cast as specialized supervised learnin…
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists
Giuseppe Attanasio, Debora Nozza, Dirk Hovy +1
Natural Language Processing (NLP) models risk overfitting to specific terms in the training data, thereby reducing their performance, fairness, and generalizability. E.g., neural h…