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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 Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2016 Bidirectional Helmholtz Machines
2018 Analyzing the benefits of communication channels between deep learning models
2009 Training deep convolutional architectures for vision
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2020 Neural approaches to dialog modeling
2020 Entity-centric representations in deep learning
2006 Collaborative filtering techniques for drug discovery
2019 Learning competitive ensemble of information-constrained primitives
2009 Échantillonnage dynamique de champs markoviens
2018 Improved training of generative models
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
Nombre de résultats : 1615