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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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2024-10 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024-09 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024-08 Rule-based data augmentation for document-level medical concept extraction
2024-08 On PI controllers for updating lagrange multipliers in constrained optimization
2024-08 Learning representations for reasoning : generalizing across diverse structures
2024-08 Parameter, experience, and compute efficient deep reinforcement learning
2024-07 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024-07 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024-06 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024-06 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024-06 Constrained optimization for machine learning : algorithms and applications
2024-06 Leveraging foundation models towards semantic world representations for robotics
2024-06 Mobility anomaly detection with intelligent video surveillance
2024-05 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024-05 Beyond the status quo in deep reinforcement learning
2024-05 The shifting landscape of data : learning to tame distributional shifts
2024-05 Quotient Types in Typer
2024-04 Generative models, theory and applications
2024-04 Enhancing factuality and coverage in summarization via referencing key extracted content
2024-04 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
Number of results : 1466