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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 Searching for Q*
2024 Towards maintainable machine learning development through continual and modular learning
2024 Deep learning applications to climate change mitigation
2024 Parameter, experience, and compute efficient deep reinforcement learning
2024 An exploration of approximation chains
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Dynamic capacities and priorities in stable matching
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Mobility anomaly detection with intelligent video surveillance
2024 Geometric-aware models for protein design
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Leveraging foundation models towards semantic world representations for robotics
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Learning and planning with noise in optimization and reinforcement learning
2023 On impact of mixing times in continual reinforcement learning
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Emergence of language-like latents in deep neural networks
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Differentiable best response shaping
2023 Efficient reformulations for deterministic and choice-based network design problems
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Probability flows in deep learning
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
2023 Methods for solving combinatorial pricing problems
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Few-shot prompt learning for automating model completion
2023 Toward causal representation and structure learning
2023 Détection de tableaux dans des documents : une étude de TableBank
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 Model-based hyperparameter optimization
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 On choice models in the context of MDPs
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Automatic symbolic melody generation from lyrics
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Conditional generative modeling for images, 3D animations, and video
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 AI for molecule discovery with multi-modal knowledge
2023 Contextual cues for deep learning models of code
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
Number of results : 1659