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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
2024 Self-supervision for reinforcement learning
2024 Generative models, theory and applications
2024 Modelling and evolving design-time uncertainty
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Learning optimizers for communication-efficient distributed learning
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Beyond the status quo in deep reinforcement learning
2024 Deep learning applications to climate change mitigation
2024 Identifying latent structures in data
2024 Learning representations for reasoning : generalizing across diverse structures
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
Nombre de résultats : 1606