6 citations · 6 across the 3 of their papers we have counts for
3 papers
Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We investigate the potential of invariant and equivariant semi-supervised learning for addressing the challenges of training multi-task models on partially labeled datasets with di…
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour +1
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling and consistency regularization via…
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch
Miquel Martí i Rabadán, Sebastian Bujwid, Alessandro Pieropan +2
Most semi-supervised learning methods over-sample labeled data when constructing training mini-batches. This paper studies whether this common practice improves learning and how. W…