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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 Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
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 Parameter, experience, and compute efficient deep reinforcement learning
2024 Self-supervision for reinforcement learning
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Generative models, theory and applications
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Performative prediction : expanding theoretical horizons
2024 Beyond the status quo in deep reinforcement learning
2024 Evaluating approaches to solving proportional sentence analogies
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2024 An exploration of approximation chains
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Self-play for human-agent communication
2024 Enhancing factuality and coverage in summarization via referencing key extracted content
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Understanding our 3D world via generative modeling
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2024 Modelling and evolving design-time uncertainty
2024 Leveraging foundation models towards semantic world representations for robotics
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Dynamic capacities and priorities in stable matching
2024 Learning optimizers for communication-efficient distributed learning
2024 Deep learning applications to climate change mitigation
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 Towards maintainable machine learning development through continual and modular learning
2024 Mobility anomaly detection with intelligent video surveillance
2024 Geometric-aware models for protein design
2024 Quotient Types in Typer
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
Nombre de résultats : 1658