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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 Sort by date in descending order Title Sort by title in descending order
2019 No Press Diplomacy
2019 Accurate and efficient strategies for the appearance filtering of complex materials
2019 Learning competitive ensemble of information-constrained primitives
2019 Recurrent neural models and related problems in natural language processing
2019 Representation learning for dialogue systems
2019 Deep neural networks for natural language processing and its acceleration
2019 Analyse visuelle et cérébrale de l’état cognitif d’un apprenant
2019 Improved training of energy-based models
2019 Comparaison de systèmes de traduction automatique pour la post édition des alertes météorologique d'Environnement Canada
2019 Towards learning sentence representation with self-supervision
2019 Route choice and traffic equilibrium modeling in multi-modal and activity-based networks
2019 Modelling and Reasoning with Software Product Lines with Design Choices
2019 Natural image processing and synthesis using deep learning
2019 Real-Time Reinforcement Learning
2019 Sensibilisation à la protection de la vie privée dans un contexte d’utilisation de dispositifs portables intelligents
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2020 Study and experimentation of cognitive decline measurements in a virtual reality environment
2020 Vérification des patrons temporels d’utilisation d’API sans exécution du code : une approche et un outil
2020 European day-ahead electricity price forecasting
2020 Privacy evaluation of fairness-enhancing pre-processing techniques
2020 Un système de question-réponse simple appliqué à SQuAD
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Theseus : a 3D virtual reality orientation game with real-time guidance system for cognitive training
2020 Evolution of domain-specific languages depending on external libraries
2020 Neural approaches to dialog modeling
2020 The art of post-truth in quantum cryptography
2020 A game theoretical model for a collaborative e-learning platform on privacy awareness
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 A deep learning theory for neural networks grounded in physics
2020 Estimating the probability of a fleet vehicle accident : a deep learning approach using conditional variational auto-encoders