978 citations
- École Normale Supérieure - PSLFR306 papers
- Centre National de la Recherche ScientifiqueFR135 papers
- Institut national de recherche en sciences et technologies du numériqueFR94 papers
- Université Paris Sciences et LettresFR89 papers
- Université Paris CitéFR23 papers
- Sorbonne UniversitéFR19 papers
- SIERRA: Apprentissage Statistique et optimisationFR17 papers
- Université de MontréalCA15 papers
- École Polytechnique Fédérale de LausanneCH14 papers
- Czech Technical University in PragueCZ13 papers
- École PolytechniqueFR13 papers
- University of EdinburghGB13 papers
27 papers · 1 filter
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira +3
Annotating videos is cumbersome, expensive and not scalable. Yet, many strong video models still rely on manually annotated data. With the recent introduction of the HowTo100M data…
Perfectly Parallel Fairness Certification of Neural Networks
Caterina Urban, Maria Christakis, Valentin Wüstholz +1
Recently, there is growing concern that machine-learning models, which currently assist or even automate decision making, reproduce, and in the worst case reinforce, bias of the tr…
Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
Emeric Dynomant, Stéfan J. Darmoni, Émeline Lejeune +5
PubMed is the biggest and most used bibliographic database worldwide, hosting more than 26M biomedical publications. One of its useful features is the "similar articles" section, a…
Dynamic exploration of multi-agent systems with timed periodic tasks
Johan Arcile, Raymond Devillers, Hanna Klaudel
We formalise and study multi-agent timed models MAPTs (Multi-Agent with timed Periodic Tasks), where each agent is associated to a regular timed schema upon which all possibles act…
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song. Such components…
Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments
Ana F. Vidal, Valentin De Bortoli, Marcelo Pereyra +1
Many imaging problems require solving an inverse problem that is ill-conditioned or ill-posed. Imaging methods typically address this difficulty by regularising the estimation prob…