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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
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Automatic symbolic melody generation from lyrics
2023 Sur l’application de la structure de graphes pour le calcul automatique de nombres de reproduction dans les modèles à compartiments déterministes
2023 Amélioration des messages d'erreurs Typer par algorithme génétique
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Conditional generative modeling for images, 3D animations, and video
2023 Représentations géométriques de détails fins pour la simulation d’éclairage
2023 Domain-specific differencing and merging of models
2023 Learning and planning with noise in optimization and reinforcement learning
2023 Investigating intra and inter-subject performance with deep learning for gait on irregular surfaces
2023 Deep networks training and generalization: insights from linearization
2023 Towards a unified model for speech and language processing
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Fear prediction for training robust RL agents
2023 Improving predictive behavior under distributional shift
2023 FETA : fairness enforced verifying, training, and predicting algorithms for neural networks
2023 Fairness through domain awareness : mitigating popularity bias for music discovery
2023 Sur l'élaboration de meilleures techniques pour l'apprentissage auto-supervisé des représentations du code
2023 Weak core solution for the non-transferable utility kidney exchange game
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Vers la mitigation des biais en traitement neuronal des langues
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2023 Sequential decision modeling in uncertain conditions
2023 AI for molecule discovery with multi-modal knowledge
2023 Méthodes d'évaluation en extraction d'information ouverte
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Contextual cues for deep learning models of code
2023 Towards adaptive deep model-based reinforcement learning
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Training large multimodal language models with ethical values
2023 Analysis of the human corneal shape with machine learning
2023 Learned interpreters : structural and learned systematicity in neural networks for program execution
2023 Sketch-based interactive shape deformation using shading isophotes
2023 Methods for solving combinatorial pricing problems
2023 Apprentissage de stratégies de calcul adaptatives pour les réseaux neuronaux profonds
2023 Reasoning with structure : graph neural networks algorithms and applications
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 Toward causal representation and structure learning