1 code implementation • 5 Jan 2024 • Roberta Hansen, Matias Vera, Lautaro Estienne, Luciana Ferrer, Pablo Piantanida
This paper deals with the convergence analysis of the SUCPA (Semi Unsupervised Calibration through Prior Adaptation) algorithm, defined from a first-order non-linear difference equations, first developed to correct the scores output by a supervised machine learning classifier.
no code implementations • 13 Jul 2023 • Lautaro Estienne, Luciana Ferrer, Matías Vera, Pablo Piantanida
These models are usually trained with a very large amount of unsupervised text data and adapted to perform a downstream natural language task using methods like fine-tuning, calibration or in-context learning.
no code implementations • 15 Mar 2023 • Lautaro Estienne, Matias Vera, Leonardo Rey Vega
In this work we perform a study on the ability of a classification system trained with a large database of product reviews to generalize to different Spanish domains.
no code implementations • 15 Mar 2023 • Lautaro Estienne
Mathematical models for the generation of the action potential can improve the understanding of physiological mechanisms that are consequence of the electrical activity in neurons.