5.7k citations
- Canadian Institute for Advanced ResearchCA58 papers
- Centre National de la Recherche ScientifiqueFR50 papers
- Regroupement Québécois sur les Matériaux de PointeCA50 papers
- Institut quantiqueCA22 papers
- ETH ZurichCH16 papers
- University of WaterlooCA16 papers
- Yale UniversityUS15 papers
- University of TorontoCA14 papers
- Brookhaven National LaboratoryUS13 papers
- Institut interdisciplinaire d'innovation technologiqueCA11 papers
- Université Toulouse III - Paul SabatierFR11 papers
- University of British ColumbiaCA11 papers
7 papers · 1 filter
A Transfer Learning Method for Goal Recognition Exploiting Cross-Domain Spatial Features
Thibault Duhamel, Mariane Maynard, Froduald Kabanza
The ability to infer the intentions of others, predict their goals, and deduce their plans are critical features for intelligent agents. For a long time, several approaches investi…
Spectral Metric for Dataset Complexity Assessment
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
In this paper, we propose a new measure to gauge the complexity of image classification problems. Given an annotated image dataset, our method computes a complexity measure called…
From Visual to Acoustic Question Answering
Jerome Abdelnour, Giampiero Salvi, Jean Rouat
We introduce the new task of Acoustic Question Answering (AQA) to promote research in acoustic reasoning. The AQA task consists of analyzing an acoustic scene composed by a combina…
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray +1
There has been a lot of recent interest in designing neural network models to estimate a distribution from a set of examples. We introduce a simple modification for autoencoder neu…
Local Water Diffusion Phenomenon Clustering From High Angular Resolution Diffusion Imaging (HARDI)
Romain Giot, Christophe Charrier, Maxime Descoteaux
The understanding of neurodegenerative diseases undoubtedly passes through the study of human brain white matter fiber tracts. To date, diffusion magnetic resonance imaging (dMRI)…
Conditional Restricted Boltzmann Machines for Structured Output Prediction
Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton
Conditional Restricted Boltzmann Machines (CRBMs) are rich probabilistic models that have recently been applied to a wide range of problems, including collaborative filtering, clas…