1 citations · 1 across the 1 of their papers we have counts for
6 papers
From Weakly Supervised Learning to Active Learning
Vivien Cabannes
Applied mathematics and machine computations have raised a lot of hope since the recent success of supervised learning. Many practitioners in industries have been trying to switch…
Disambiguation of weak supervision with exponential convergence rates
Vivien Cabannes, Francis Bach, Alessandro Rudi
Machine learning approached through supervised learning requires expensive annotation of data. This motivates weakly supervised learning, where data are annotated with incomplete y…
Fast rates in structured prediction
Vivien Cabannes, Alessandro Rudi, Francis Bach
Discrete supervised learning problems such as classification are often tackled by introducing a continuous surrogate problem akin to regression. Bounding the original error, betwee…
Diptychs of human and machine perceptions
Vivien Cabannes, Thomas Kerdreux, Louis Thiry
We propose visual creations that put differences in algorithms and humans \emph{perceptions} into perspective. We exploit saliency maps of neural networks and visual focus of human…
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannes, Alessandro Rudi, Francis Bach
Annotating datasets is one of the main costs in nowadays supervised learning. The goal of weak supervision is to enable models to learn using only forms of labelling which are chea…
Dialog on a canvas with a machine
Vivien Cabannes, Thomas Kerdreux, Louis Thiry +2
We propose a new form of human-machine interaction. It is a pictorial game consisting of interactive rounds of creation between artists and a machine. They repetitively paint one a…