171 citations · 694 across the 32 of their papers we have counts for
3 papers · 2 filters
Curriculum Learning of Multiple Tasks
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
Sharing information between multiple tasks enables algorithms to achieve good generalization performance even from small amounts of training data. However, in a realistic scenario…
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
Daniel Hernández-Lobato, Viktoriia Sharmanska, Kristian Kersting +2
The learning with privileged information setting has recently attracted a lot of attention within the machine learning community, as it allows the integration of additional knowled…
Predicting the Future Behavior of a Time-Varying Probability Distribution
Christoph H. Lampert
We study the problem of predicting the future, though only in the probabilistic sense of estimating a future state of a time-varying probability distribution. This is not only an i…