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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 The shifting landscape of data : learning to tame distributional shifts
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Learning optimizers for communication-efficient distributed learning
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Beyond the status quo in deep reinforcement learning
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Performative prediction : expanding theoretical horizons
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Generative flow networks : theory and applications to structure learning
2024 Sur la génération d'exemples pour réduire le coût d'annotation
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 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Evaluating approaches to solving proportional sentence analogies
2024 Searching for Q*
2024 Mobility anomaly detection with intelligent video surveillance
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Quotient Types in Typer
2024 Dynamic capacities and priorities in stable matching
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Self-supervision for reinforcement learning
2024 Building intuitive reinforcement learning algorithms
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Towards maintainable machine learning development through continual and modular learning
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
Number of results : 1515