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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
2018 Sequence-to-sequence learning for machine translation and automatic differentiation for machine learning software tools
2022 Contributions to generative models and their applications
2003 Généralisation d'algorithmes de réduction de dimension
2020 A deep learning theory for neural networks grounded in physics
2012 Algorithmes d'apprentissage pour la recommandation
2015 Advances in scaling deep learning algorithms
2019 Learning competitive ensemble of information-constrained primitives
2020 Advances in deep learning methods for speech recognition and understanding
2018 Reparametrization in deep learning
1999 Utilisation d'hyper-paramètres pour la sélection de variables
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2009 Échantillonnage dynamique de champs markoviens
2026 Understanding and improving vision-language models through the lens of the binding problem
2018 Applications of complex numbers to deep neural networks
2013 Improving sampling, optimization and feature extraction in Boltzmann machines
2014 Distributed conditional computation
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
2017 Exploring Attention Based Model for Captioning Images
Number of results : 1659