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Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

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Date Sort by date in descending order Title Sort by title in descending order
2014 Deep learning of representations and its application to computer vision
2014 Leveraging noisy side information for disentangling of factors of variation in a supervised setting
2014 Distributed conditional computation
2017 Learning visual representations with neural networks for video captioning and image generation
2018 Representation Learning for Visual Data
2013 Improving sampling, optimization and feature extraction in Boltzmann machines
2017 Exploring Attention Based Model for Captioning Images
2010 Understanding deep architectures and the effect of unsupervised pre-training
2003 Les algorithmes d'apprentissage appliqués aux risques financiers
2006 Collaborative filtering techniques for drug discovery
2025 Designing scalable and efficient neural networks
2018 Difference target propagation
2024 Deep learning applications to climate change mitigation
2017 Feedforward deep architectures for classification and synthesis
2018 Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
2019 Learning competitive ensemble of information-constrained primitives
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2013 Algorithmes d’apprentissage profonds supervisés et non-supervisés: applications et résultats théoriques
2015 Advances in scaling deep learning algorithms
2026 Understanding and improving vision-language models through the lens of the binding problem
2024 Generative flow networks : theory and applications to structure learning
1999 Utilisation d'hyper-paramètres pour la sélection de variables
2012 Algorithmes d'apprentissage pour la recommandation
2018 Analyzing the benefits of communication channels between deep learning models
2018 Prédiction et génération de données structurées à l'aide de réseaux de neurones et de décisions discrètes
2004 Méthodes à noyaux appliquées à la gestion de portefeuille
2009 Échantillonnage dynamique de champs markoviens
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020 Neural approaches to dialog modeling
2022 From specialists to generalists : inductive biases of deep learning for higher level cognition
Number of results : 1662