36 citations · 40 across the 8 of their papers we have counts for
3 papers · 1 filter
Are Deep Sequence Classifiers Good at Non-Trivial Generalization?
Francesco Cazzaro, Ariadna Quattoni, Xavier Carreras
Recent advances in deep learning models for sequence classification have greatly improved their classification accuracy, specially when large training sets are available. However,…
A Maximum Matching Algorithm for Basis Selection in Spectral Learning
Ariadna Quattoni, Xavier Carreras, Matthias Gallé
We present a solution to scale spectral algorithms for learning sequence functions. We are interested in the case where these functions are sparse (that is, for most sequences they…
Local Loss Optimization in Operator Models: A New Insight into Spectral Learning
Borja Balle, Ariadna Quattoni, Xavier Carreras
This paper re-visits the spectral method for learning latent variable models defined in terms of observable operators. We give a new perspective on the method, showing that operato…