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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 Leveraging foundation models towards semantic world representations for robotics
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Quotient Types in Typer
2024 Embedding cultural diversity in prototype-based recommender systems
2024 The shifting landscape of data : learning to tame distributional shifts
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 An exploration of approximation chains
2024 Modélisation de l'activité cérébrale mesurée par imagerie par résonance magnétique fonctionnelle dans une tâche de jeu vidéo par des modèles d'apprentissage profond
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Dynamic capacities and priorities in stable matching
2024 Strategic planning of intracity electric vehicle charging station locations with integrated advanced demand dynamics
2024 Evaluating approaches to solving proportional sentence analogies
2024 Generative models, theory and applications
2024 Intrinsic exploration for reinforcement learning beyond rewards
2024 Mobility anomaly detection with intelligent video surveillance
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Enhancing agent learning through world dynamics modeling
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Beyond the status quo in deep reinforcement learning
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 Building intuitive reinforcement learning algorithms
2024 Towards efficient and effective preference alignment for large language models
2024 Self-play for human-agent communication
2024 Learning optimizers for communication-efficient distributed learning
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Towards maintainable machine learning development through continual and modular learning
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Sur la génération d'exemples pour réduire le coût d'annotation
Number of results : 1619