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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 An exploration of approximation chains
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Towards efficient and effective preference alignment for large language models
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Towards maintainable machine learning development through continual and modular learning
2024 Building intuitive reinforcement learning algorithms
2024 Dynamic capacities and priorities in stable matching
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Rule-based data augmentation for document-level medical concept extraction
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Beyond the status quo in deep reinforcement learning
2024 Dichotomy(?) of fairness and efficiency
2024 Generative models, theory and applications
2024 Constrained optimization for machine learning : algorithms and applications
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Mobility anomaly detection with intelligent video surveillance
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 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Searching for Q*
2024 Understanding our 3D world via generative modeling
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
Number of results : 1586