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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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2024 Mobility anomaly detection with intelligent video surveillance
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Dynamic capacities and priorities in stable matching
2024 Beyond the status quo in deep reinforcement learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Generative models, theory and applications
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Building intuitive reinforcement learning algorithms
2024 Understanding our 3D world via generative modeling
2024 Self-supervision for reinforcement learning
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Towards maintainable machine learning development through continual and modular learning
2024 Searching for Q*
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Deep learning applications to climate change mitigation
2024 Sur la génération d'exemples pour réduire le coût d'annotation
Number of results : 1662