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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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2022 Latent data augmentation and modular structure for improved generalization
2022 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022 Résolution d’un problème de collecte et livraison dynamique sur un réseau routier avec temps de parcours variables
2022 Cyclopean optical flow
2022 Gestion manuelle et sécuritaire de la mémoire en Typer
2022 Adversarial games in machine learning : challenges and applications
2022 Stability-aware simplification of curve networks
2022 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2022 Autoencoders for natural language semantics
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Methods for solving combinatorial pricing problems
2023 Finer grained evaluation methods for better understanding of deep neural network representations
2023 Automatic symbolic melody generation from lyrics
2023 Rethinking continual learning approach and study out-of-distribution generalization algorithms
2023 Multi-attribute deterministic and stochastic two echelon location routing problems
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Training large multimodal language models with ethical values
2023 Analysis of the human corneal shape with machine learning
2023 Co-simulation for controlled environment agriculture
2023 Deep learning algorithms for database-driven peptide search
2023 Small batch deep reinforcement learning
2023 ZeroAbuse, a serious game to prevent child maltreatment
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Generative models : from data generation to representation learning
2023 On choice models in the context of MDPs
2023 Apprentissage de descripteurs locaux pour l’amélioration des systèmes de SLAM visuel
2023 Towards a unified model for speech and language processing
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Toward causal representation and structure learning
2023 Détection de tableaux dans des documents : une étude de TableBank
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 Maximum flow-based formulation for the optimal location of electric vehicle charging stations
2023 Adding hygiene to gambit scheme
2023 Deep networks training and generalization: insights from linearization
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 Sequential decision modeling in uncertain conditions