1 citations · 1 across the 4 of their papers we have counts for
4 papers
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning
Martin Willbo, Aleksis Pirinen, John Martinsson +3
Land cover classification and change detection are two important applications of remote sensing and Earth observation (EO) that have benefited greatly from the advances of deep lea…
Concept-aware clustering for decentralized deep learning under temporal shift
Marcus Toftås, Emilie Klefbom, Edvin Listo Zec +2
Decentralized deep learning requires dealing with non-iid data across clients, which may also change over time due to temporal shifts. While non-iid data has been extensively studi…
Decentralized adaptive clustering of deep nets is beneficial for client collaboration
Edvin Listo Zec, Ebba Ekblom, Martin Willbo +2
We study the problem of training personalized deep learning models in a decentralized peer-to-peer setting, focusing on the setting where data distributions differ between the clie…
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Rickard K. A. Karlsson, Martin Willbo, Zeshan Hussain +3
We study prediction of future outcomes with supervised models that use privileged information during learning. The privileged information comprises samples of time series observed…