3 papers
cs.CV2026
Spectral-Spatial Contrastive Learning Framework for Regression on Hyperspectral Data
Mohamad Dhaini, Paul Honeine, Maxime Berar +1
Contrastive learning has demonstrated great success in representation learning, especially for image classification tasks. However, there is still a shortage in studies targeting r…
cs.LG2025
Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
Romain Mussard, Fannia Pacheco, Maxime Berar +2
Universal Domain Adaptation (UniDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain, even when their classes are not fully shared. Few dedicat…
cs.LG2025
Universal Domain Adaptation Benchmark for Time Series Data Representation
Romain Mussard, Fannia Pacheco, Maxime Berar +2
Deep learning models have significantly improved the ability to detect novelties in time series (TS) data. This success is attributed to their strong representation capabilities. H…