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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 ascending order Title Sort by title in ascending order
2018 Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
2016 Sequential modeling, generative recurrent neural networks, and their applications to audio
2018 Representation Learning for Visual Data
2014 Distributed conditional computation
2017 Exploring Attention Based Model for Captioning Images
2013 Improving sampling, optimization and feature extraction in Boltzmann machines
2017 Learning visual representations with neural networks for video captioning and image generation
2014 Leveraging noisy side information for disentangling of factors of variation in a supervised setting
2014 Deep learning of representations and its application to computer vision
2025 Learning generative models from a control perspective
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2000 Architecture et programme d'entraînement pour agents qui apprennent par renforcement
2025 Evaluating and improving mathematical reasoning in large language models via skill combinations
2021 Locality and compositionality in representation learning for complex visual tasks
2009 Modèle informatique du coapprentissage des ganglions de la base et du cortex : l'apprentissage par renforcement et le développement de représentations
2004 Réduction de dimension pour modèles graphiques probabilistes appliqués à la désambiguïsation sémantique
2020 Towards better understanding and improving optimization in recurrent neural networks
2003 Quelques modèles de langage statistiques et graphiques lissés avec WordNet
2019 On challenges in training recurrent neural networks
2026 Applications of machine learning for biodiversity monitoring
2019 Natural image processing and synthesis using deep learning
2023 Learning and planning with noise in optimization and reinforcement learning
2016 Structured prediction and generative modeling using neural networks
2016 Designing Regularizers and Architectures for Recurrent Neural Networks
2014 Modeling High-Dimensional Audio Sequences with Recurrent Neural Networks
2024 Intrinsic exploration for reinforcement learning beyond rewards
2023 Deep learning on signals : discretization invariance, lossless compression and nonuniform compression
2025 Inferring 2D and 3D character animation from sketches
2025 Interpreting and generating drawings via learning, geometry processing, and optimization
2022 Stability-aware simplification of curve networks
Number of results : 1615