no code implementations • 8 Mar 2024 • Lorenzo Brigato, Stavroula Mougiakakou
We introduce Tune without Validation (Twin), a pipeline for tuning learning rate and weight decay without validation sets.
no code implementations • 4 Sep 2023 • Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula Mougiakakou
The pandemic resulted in vast repositories of unstructured data, including radiology reports, due to increased medical examinations.
no code implementations • 4 Sep 2023 • Lorenzo Brigato, Stavroula Mougiakakou
Solving image classification tasks given small training datasets remains an open challenge for modern computer vision.
no code implementations • 20 Jun 2023 • Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula Mougiakakou
Food recognition and nutritional apps are trending technologies that may revolutionise the way people with diabetes manage their diet.
1 code implementation • IEEE Access 2022 • Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
However, as research in this scope is still in its infancy, two key ingredients are missing for ensuring reliable and truthful progress: a systematic and extensive overview of the state of the art, and a common benchmark to allow for objective comparisons between published methods.
no code implementations • 29 Nov 2021 • Lorenzo Brigato, Luca Iocchi
For the first time, our work broadly studies the existing concept of neural ensembling in domains with small data, through extensive validation using popular datasets and architectures.
no code implementations • 28 Sep 2021 • Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler
Learning from limited amounts of data is the hallmark of intelligence, requiring strong generalization and abstraction skills.
1 code implementation • 30 Aug 2021 • Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Data-efficient image classification using deep neural networks in settings, where only small amounts of labeled data are available, has been an active research area in the recent past.
Ranked #1 on Small Data Image Classification on DEIC Benchmark
no code implementations • 1 Jan 2021 • Lorenzo Brigato, Luca Iocchi
Deep neural networks represent the gold standard for image classification and many other tasks.