6 citations · 6 across the 6 of their papers we have counts for
6 papers
CLIMB: Centroid-Based Hierarchical Memory for Online Continual Self-Supervised Learning
Julien Lefebvre, Stefan Duffner, Mathieu Lefort
Online Continual Self-Supervised Learning (OCSSL) aims to learn representations from a continuous stream of unlabeled data, without knowledge of task boundaries and under memory co…
Exploration and Online Transfer with Behavioral Foundation Models
Louis Bagot, Mathieu Lefort, Laëtitia Matignon
Zero-shot Transfer in Reinforcement Learning (RL) aims to train an agent that can generate optimal policies for any reward function, without additional learning at transfer time, w…
XmoPipe: A Pipeline for Large-Scale In-the-Wild Human Motion Dataset Construction
Nathan Salazar, Emmanuel Dellandréa, Mathieu Lefort +1
Large-scale human motion datasets are essential for training robust motion models for analysis, synthesis, and understanding. While marker-based motion capture provides precise dat…
Instance Discrimination for Link Prediction
Valentin Cuzin-Rambaud, Mathieu Lefort, Rémy Cazabet
Recently, instance discrimination models have emerged as a major solution for self-supervised learning. Having already demonstrated its effectiveness in the image domain, instance…
Sequential annotations for naturally-occurring HRI: first insights
Lucien Tisserand, Frédéric Armetta, Heike Baldauf-Quilliatre +3
We explain the methodology we developed for improving the interactions accomplished by an embedded conversational agent, drawing from Conversation Analytic sequential and multimoda…
EquiMod: An Equivariance Module to Improve Self-Supervised Learning
Alexandre Devillers, Mathieu Lefort
Self-supervised visual representation methods are closing the gap with supervised learning performance. These methods rely on maximizing the similarity between embeddings of relate…