5.7k citations · 17.6k across the 75 of their papers we have counts for
5 papers · 1 filter
Domain-Adversarial Neural Networks
Hana Ajakan, Pascal Germain, Hugo Larochelle +2
We introduce a new representation learning algorithm suited to the context of domain adaptation, in which data at training and test time come from similar but different distributio…
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data
Yin Zheng, Yu-Jin Zhang, Hugo Larochelle
Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks. Another popular approach t…
An Autoencoder Approach to Learning Bilingual Word Representations
Sarath Chandar A P, Stanislas Lauly, Hugo Larochelle +4
Cross-language learning allows us to use training data from one language to build models for a different language. Many approaches to bilingual learning require that we have word-l…
Sequential Model-Based Ensemble Optimization
Alexandre Lacoste, Hugo Larochelle, François Laviolette +1
One of the most tedious tasks in the application of machine learning is model selection, i.e. hyperparameter selection. Fortunately, recent progress has been made in the automation…
Learning Multilingual Word Representations using a Bag-of-Words Autoencoder
Stanislas Lauly, Alex Boulanger, Hugo Larochelle
Recent work on learning multilingual word representations usually relies on the use of word-level alignements (e.g. infered with the help of GIZA++) between translated sentences, i…