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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 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Dichotomy(?) of fairness and efficiency
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Geometric-aware models for protein design
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Leveraging foundation models towards semantic world representations for robotics
2024 Performative prediction : expanding theoretical horizons
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
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 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Modelling and evolving design-time uncertainty
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Learning optimizers for communication-efficient distributed learning
Number of results : 1482