27 citations · 40 across the 3 of their papers we have counts for
6 papers
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina, Arnout Devos, Matthias Grossglauser
Most approaches in few-shot learning rely on costly annotated data related to the goal task domain during (pre-)training. Recently, unsupervised meta-learning methods have exchange…
A User Study of Perceived Carbon Footprint
Victor Kristof, Valentin Quelquejay-Leclère, Robin Zbinden +3
We propose a statistical model to understand people's perception of their carbon footprint. Driven by the observation that few people think of CO2 impact in absolute terms, we desi…
Learning Hawkes Processes from a Handful of Events
Farnood Salehi, William Trouleau, Matthias Grossglauser +1
Learning the causal-interaction network of multivariate Hawkes processes is a useful task in many applications. Maximum-likelihood estimation is the most common approach to solve t…
Regression Networks for Meta-Learning Few-Shot Classification
Arnout Devos, Matthias Grossglauser
We propose regression networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a small number…
Scalable and Efficient Comparison-based Search without Features
Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser
We consider the problem of finding a target object using pairwise comparisons, by asking an oracle questions of the form \emph{"Which object from the pair is more simil…
Pairwise Comparisons with Flexible Time-Dynamics
Lucas Maystre, Victor Kristof, Matthias Grossglauser
Inspired by applications in sports where the skill of players or teams competing against each other varies over time, we propose a probabilistic model of pairwise-comparison outcom…