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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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2020-04 Programming tools for intelligent systems
2020-04 The load planning problem for double-stack intermodal trains
2020-03 Un système de question-réponse simple appliqué à SQuAD
2020-03 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020-03 Diffusion de modules compilés pour le langage distribué Termite Scheme
2020-03 Personal information prediction from written texts
2020-03 Leveraging distant supervision for improved named entity recognition
2020-01 The art of post-truth in quantum cryptography
2020-01 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2020-01 Towards using fluctuations in internal quality metrics to find design intents
2020-01 Traffic prediction and bilevel network design
2020-01 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020-01 Générateurs de nombres aléatoires modulo un grand entier, dont l’uniformité est assurée
2019-12 Representation learning in unsupervised domain translation
2019-12 Hierarchical Bayesian optimization of targeted motor outputs with spatiotemporal neurostimulation
2019-12 Compression in Sequence to Sequence Learning for Natural Language Processing
2019-12 Stochastic optimization of staffing for multiskill call centers
2019-12 On the bias-variance tradeoff : textbooks need an update
2019-12 Accurate and efficient strategies for the appearance filtering of complex materials
2019-12 Balancing signals for semi-supervised sequence learning
2019-12 Mise en oeuvre d’une approche sociotechnique de la vie privée pour les systèmes de paiement et de recommandation en ligne
2019-12 Emerging communication between competitive agents
2019-11 On challenges in training recurrent neural networks
2019-09 Natural image processing and synthesis using deep learning
2019-09 Real-Time Reinforcement Learning
2019-08 No Press Diplomacy
2019-08 Deep active localization
2019-08 Comparaison de systèmes de traduction automatique pour la post édition des alertes météorologique d'Environnement Canada
2019-08 Unsupervised representation learning in interactive environments
2019-08 Prediction of the transaction confirmation time in Ethereum Blockchain
2019-08 Deep neural networks for natural language processing and its acceleration
2019-08 Analysis of 3D human gait reconstructed with a depth camera and mirrors
2019-08 Calibrage de caméra fisheye et estimation de la profondeur pour la navigation autonome
2019-08 Towards Understanding Generalization in Gradient-Based Meta-Learning
2019-07 Towards learning sentence representation with self-supervision
2019-07 Learning competitive ensemble of information-constrained primitives
2019-07 Mobile data and computation offloading in mobile cloud computing
2019-06 Improved training of energy-based models
2019-06 Route choice and traffic equilibrium modeling in multi-modal and activity-based networks
2019-05 Simple optimizing JIT compilation of higher-order dynamic programming languages