151 citations · 245 across the 8 of their papers we have counts for
3 papers · 1 filter
Unsupervised Intuitive Physics from Past Experiences
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1
We are interested in learning models of intuitive physics similar to the ones that animals use for navigation, manipulation and planning. In addition to learning general physical p…
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han +2
While semi-supervised learning (SSL) algorithms provide an efficient way to make use of both labelled and unlabelled data, they generally struggle when the number of annotated samp…
Deep Industrial Espionage
Samuel Albanie, James Thewlis, Sebastien Ehrhardt +1
The theory of deep learning is now considered largely solved, and is well understood by researchers and influencers alike. To maintain our relevance, we therefore seek to apply our…