136 citations · 448 across the 41 of their papers we have counts for
5 papers · 1 filter
Distributed Learning with Sparse Communications by Identification
Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick +1
In distributed optimization for large-scale learning, a major performance limitation comes from the communications between the different entities. When computations are performed b…
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Anil Goyal, Emilie Morvant, Pascal Germain +1
In this paper we propose a boosting based multiview learning algorithm, referred to as PB-MVBoost, which iteratively learns i) weights over view-specific voters capturing view-spec…
Concurrent Learning of Semantic Relations
Georgios Balikas, Gaël Dias, Rumen Moraliyski +1
Discovering whether words are semantically related and identifying the specific semantic relation that holds between them is of crucial importance for NLP as it is essential for ta…
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
Anil Goyal, Emilie Morvant, Massih-Reza Amini
We tackle the issue of classifier combinations when observations have multiple views. Our method jointly learns view-specific weighted majority vote classifiers (i.e. for each view…
Cross-lingual Document Retrieval using Regularized Wasserstein Distance
Georgios Balikas, Charlotte Laclau, Ievgen Redko +1
Many information retrieval algorithms rely on the notion of a good distance that allows to efficiently compare objects of different nature. Recently, a new promising metric called…