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Financement de l’UE (2 592 785 €) : Apprendre avec des représentations multiples Hor04/09/2022 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Apprendre avec des représentations multiples
Machine learning methods operate on formal representations of the data at hand and the models or patterns induced from the data. They also assume a suitable formalization of the learning task itself (e.g., as a classification problem), including a specification of the objective in terms of a suitable performance metric, and sometimes other criteria the induced model is supposed to meet. Different representations or problem formalizations may be more or less appropriate to address a particular task and to deal with the type of training information available. The goal of LEMUR is to create a novel branch of machine learning we call Learning with Multiple Representations. We aim to develop the theoretical foundations and a first set of algorithms for this new paradigma. Moreover, corresponding applications are to demonstrate the usefulness of the new family of approaches. We regard LEMUR as very timely, as LMR algorithms will allow to flexible representations (e.g., suitable for explainability, fairness) with diverse target functions (e.g., incorporating environmental or even social impact) so as to make the induced models abide by the Green Charter and trustworthy AI criteria by design. We will focus on learning with weak supervision because it addresses one of the major flaws of modern ML approaches, i.e., their data hunger, by means of weaker sources of labelling for training data. The outcome of the DN will be a set of 10 experts trained to implement the third and subsequent waves of AI in Europe. The highly interdisciplinary and intersectoral context in which they will be trained will provide them with research-related and transferable competences relevant to successful careers in central AI areas.
| DATEV eG | ? |
| Katholieke Universiteit Leuven | 262 620 € |
| LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN | 260 539 € |
| Politechnika Poznanska | 226 512 € |
| STICHTING VU | 274 370 € |
| Umea Universitet | 293 710 € |
| Universita' Degli Studi Di Milano-Bicocca | 259 438 € |
| Universita Degli Studi Di Siena | 259 438 € |
| UNIVERSITAET BIELEFELD | 260 539 € |
| UNIVERSITAET PADERBORN | 260 539 € |
| University of Cyprus | 235 080 € |
https://cordis.europa.eu/project/id/101073307
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : DATEV eG, Nuremberg, Allemagne.
