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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 Self-supervision for reinforcement learning
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Understanding our 3D world via generative modeling
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 Towards maintainable machine learning development through continual and modular learning
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Beyond the status quo in deep reinforcement learning
2024 Dynamic capacities and priorities in stable matching
2024 Evaluating approaches to solving proportional sentence analogies
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Quotient Types in Typer
Number of results : 1670