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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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2022 Generating graphical and projectional editors
2022 On iterated learning for task-oriented dialogue
2022 Controllable music performance synthesis via hierarchical modelling
2022 On the VC-dimension of Tensor Networks
2022 Local differentially private mechanisms for text privacy protection
2022 Vers la sécurité des conteneurs : les comprendre et les sécuriser
2022 Brain decoding of the Human Connectome Project Tasks in a Dense Individual fMRI Dataset
2022 Contributions to generative models and their applications
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 (Out-of-distribution?) : generalization in deep learning
2022 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022 Reinforcement learning applied to the real world : uncertainty, sample efficiency, and multi-agent coordination
2022 Stabilizing Q-Learning for continuous control
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Optimization tools for non-asymptotic statistics in exponential families
2022 Renormalization group theory, scaling laws and deep learning
2022 Agent abstraction in multi-agent reinforcement learning
2022 Imitation from observation using behavioral learning
2022 Créer un corpus annoté en entités nommées avec Wikipédia et WikiData : de mauvais résultats et du potentiel
2022 Adaptive learning of tensor network structures