514 citations
- Université d'Avignon et des Pays de VaucluseFR46 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Institut national de recherche en sciences et technologies du numériqueFR12 papers
- Nantes UniversitéFR12 papers
- Laboratoire des Sciences du Numérique de NantesFR10 papers
- EURECOMFR8 papers
- Le Mans UniversitéFR7 papers
- Centre Inria d'Université Côte d'AzurFR6 papers
- McGill UniversityCA6 papers
- National Institute of InformaticsJP6 papers
- Polytechnique MontréalCA6 papers
- University of CambridgeGB6 papers
Showing 2024 · cs.LGShow all
3 papers · 2 filters
cs.LG2024★ 3 cited
Whole-Graph Representation Learning For the Classification of Signed Networks
Noé Cecillon, Vincent Labatut, Richard Dufour +1
Graphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-d…
cs.LG2024
An Analysis of Linear Complexity Attention Substitutes with BEST-RQ
Ryan Whetten, Titouan Parcollet, Adel Moumen +2
Self-Supervised Learning (SSL) has proven to be effective in various domains, including speech processing. However, SSL is computationally and memory expensive. This is in part due…
cs.LG2024
Explaining a probabilistic prediction on the simplex with Shapley compositions
Paul-Gauthier Noé, Miquel Perelló-Nieto, Jean-François Bonastre +1
Originating in game theory, Shapley values are widely used for explaining a machine learning model's prediction by quantifying the contribution of each feature's value to the predi…