Bipft: Binary pre-trained foundation transformer with low-rank estimation of binarization residual polynomials

X Xing, L Du, X Wang, X Zeng, Y Wang… - Proceedings of the …, 2024 - ojs.aaai.org
Pretrained foundation models offer substantial benefits for a wide range of downstream
tasks, which can be one of the most potential techniques to access artificial general …

Binary quantification and dataset shift: an experimental investigation

P González, A Moreo, F Sebastiani - Data Mining and Knowledge …, 2024 - Springer
Quantification is the supervised learning task that consists of training predictors of the class
prevalence values of sets of unlabelled data, and is of special interest when the labelled …

[HTML][HTML] QuantificationLib: A Python library for quantification and prevalence estimation

A Castaño, J Alonso, P González, P Pérez, JJ del Coz - SoftwareX, 2024 - Elsevier
QuantificationLib is an open-source Python library that provides a comprehensive set of
algorithms for quantification learning. Quantification, also known as prevalence estimation …

Report on the 3rd International Workshop onLearning to Quantify (LQ 2023)

M Bunse, P González, A Moreo… - ACM SIGKDD Explorations …, 2024 - dl.acm.org
The 3rd International Workshop on Learning to Quantify (LQ 2023) 1 took place on
September 18, 2023 in Torino, IT, where it was organised as a satellite event of the 34th …

Kernel Density Estimation for Multiclass Quantification

A Moreo, P González, JJ del Coz - arXiv preprint arXiv:2401.00490, 2023 - arxiv.org
Several disciplines, like the social sciences, epidemiology, sentiment analysis, or market
research, are interested in knowing the distribution of the classes in a population rather than …

QuantificationLib: A Python library for quantification and prevalence estimation

A Castaño Gutiérrez, J Alonso González… - SoftwareX, 26, p …, 2024 - digibuo.uniovi.es
QuantificationLib is an open-source Python library that provides a comprehensive set of
algorithms for quantification learning. Quantification, also known as prevalence estimation …