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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 Towards using intelligent techniques to assist software specialists in their tasks
2020 Advances in deep learning methods for speech recognition and understanding
2020 Real-time human action and gesture recognition using skeleton joints information towards medical applications
2020 Leveraging deep reinforcement learning in the smart grid environment
2020 Tactical block planning for intermodal rail transportation
2020 Lifelong learning of concepts in CRAFT
2020 Méta-enseignement : génération active d’exemples par apprentissage par renforcement
2020 Un système de question-réponse simple appliqué à SQuAD
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2020 The multilevel critical node problem : theoretical intractability and a curriculum learning approach
2020 European day-ahead electricity price forecasting
2020 Entity-centric representations in deep learning
2020 Statistical physics of constraint satisfaction problems
2020 On improving variational inference with low-variance multi-sample estimators
2020 Edit distance metrics for measuring dissimilarity between labeled gene trees
2020 On learning and generalization in unstructured taskspaces
2020 Towards privacy preserving cooperative cloud based intrusion detection systems
2020 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2020 Programmation stochastique à deux étapes pour l’ordonnancement des arrivées d’avions sous incertitude
2020 Leveraging distant supervision for improved named entity recognition
2020 The load planning problem for double-stack intermodal trains
2020 Apprentissage de modèles causaux par réseaux de neurones artificiels
2020 Estimation neuronale de l'information mutuelle
2020 Recommandation conversationnelle : écoutez avant de parlez
2020 Study and experimentation of cognitive decline measurements in a virtual reality environment
2020 On two sequential problems : the load planning and sequencing problem and the non-normal recurrent neural network
2020 Evolution of domain-specific languages depending on external libraries
2020 Towards better understanding and improving optimization in recurrent neural networks
2020 Programming tools for intelligent systems
2020 Neural approaches to dialog modeling
2020 Personal information prediction from written texts
2020 Towards deep unsupervised inverse graphics
2020 Deep reinforcement learning for multi-modal embodied navigation
2020 Privacy evaluation of fairness-enhancing pre-processing techniques
2019 Visual question answering with modules and language modeling
2019 Recurrent neural models and related problems in natural language processing
2019 No Press Diplomacy
2019 Learning competitive ensemble of information-constrained primitives
2019 Improved training of energy-based models
2019 On the bias-variance tradeoff : textbooks need an update