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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 Sort by date in ascending order Title Sort by title in ascending order
2024 Self-play for human-agent communication
2024 Evaluating approaches to solving proportional sentence analogies
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Generative flow networks : theory and applications to structure learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Self-supervision for reinforcement learning
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Constrained optimization for machine learning : algorithms and applications
2024 Dichotomy(?) of fairness and efficiency
2024 Performative prediction : expanding theoretical horizons
2024 Identifying latent structures in data
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Mobility anomaly detection with intelligent video surveillance
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 An exploration of approximation chains
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 Rule-based data augmentation for document-level medical concept extraction
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Enhancing agent learning through world dynamics modeling
2024 Beyond the status quo in deep reinforcement learning
Number of results : 1601