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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 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Generative flow networks : theory and applications to structure learning
2024 Metaheuristics for vehicle routing problems : new methods and performance analysis
2024 Learning optimizers for communication-efficient distributed learning
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 Enhancing agent learning through world dynamics modeling
2024 Building intuitive reinforcement learning algorithms
2024 Identifying latent structures in data
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 Evaluating approaches to solving proportional sentence analogies
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 Embedding cultural diversity in prototype-based recommender systems
2024 Quotient Types in Typer
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Towards maintainable machine learning development through continual and modular learning
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Advancing adversarial robustness with feature desensitization and synthesized data
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Learning representations for reasoning : generalizing across diverse structures
2024 Enhancing risk-based authentication with federated learning : introducing the F-RBA framework
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Deep learning algorithms for database-driven peptide search
2023 Analysis and evaluation of the pilot attentional model
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Domain-specific differencing and merging of models
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Analysis of the human corneal shape with machine learning
2023 On impact of mixing times in continual reinforcement learning
2023 Emergence of language-like latents in deep neural networks
2023 Co-simulation for controlled environment agriculture
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
Nombre de résultats : 1615