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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 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Generative models, theory and applications
2024 Towards maintainable machine learning development through continual and modular learning
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2024 Enhancing agent learning through world dynamics modeling
2024 Dynamic capacities and priorities in stable matching
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Mobility anomaly detection with intelligent video surveillance
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Modelling and evolving design-time uncertainty
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Beyond the status quo in deep reinforcement learning
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Self-supervision for reinforcement learning
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Building sample-efficient reinforcement learning
2023 Few-shot prompt learning for automating model completion
Number of results : 1490