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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
2022 Stability-aware simplification of curve networks
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2024 Intrinsic exploration for reinforcement learning beyond rewards
2014 Modeling High-Dimensional Audio Sequences with Recurrent Neural Networks
2016 Designing Regularizers and Architectures for Recurrent Neural Networks
2016 Structured prediction and generative modeling using neural networks
2023 Learning and planning with noise in optimization and reinforcement learning
2019 Natural image processing and synthesis using deep learning
2019 On challenges in training recurrent neural networks
2003 Quelques modèles de langage statistiques et graphiques lissés avec WordNet
2020 Towards better understanding and improving optimization in recurrent neural networks
2004 Réduction de dimension pour modèles graphiques probabilistes appliqués à la désambiguïsation sémantique
2009 Modèle informatique du coapprentissage des ganglions de la base et du cortex : l'apprentissage par renforcement et le développement de représentations
2021 Locality and compositionality in representation learning for complex visual tasks
2000 Architecture et programme d'entraînement pour agents qui apprennent par renforcement
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2014 Distributed conditional computation
2018 Representation Learning for Visual Data
2014 Leveraging noisy side information for disentangling of factors of variation in a supervised setting
2016 Sequential modeling, generative recurrent neural networks, and their applications to audio
2014 Deep learning of representations and its application to computer vision
2017 Learning visual representations with neural networks for video captioning and image generation
2013 Improving sampling, optimization and feature extraction in Boltzmann machines
2017 Exploring Attention Based Model for Captioning Images
2017 Feedforward deep architectures for classification and synthesis
2007 Modèles Pareto hybrides pour distributions asymétriques et à queues lourdes
2020 Entity-centric representations in deep learning
2020 A deep learning theory for neural networks grounded in physics
2009 Sequential Machine learning Approaches for Portfolio Management
2018 Reparametrization in deep learning
2011 Réseaux de neurones à relaxation entraînés par critère d'autoencodeur débruitant
2009 Échantillonnage dynamique de champs markoviens
2018 Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
2012 Algorithmes d'apprentissage pour la recommandation
2019 Learning competitive ensemble of information-constrained primitives
2003 Généralisation d'algorithmes de réduction de dimension
2018 Analyzing the benefits of communication channels between deep learning models
2016 Bidirectional Helmholtz Machines
2020 Advances in deep learning methods for speech recognition and understanding
2015 Advances in scaling deep learning algorithms
Number of results : 1500