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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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2001 Obje[c]t identification using conceptual clustering
2019-11 On challenges in training recurrent neural networks
2023-10 On choice models in the context of MDPs
1997 On conformance testing of systems communicating by Rendezvous
2018-04 On Deep Multiscale Recurrent Neural Networks
2022-08 On discovering and learning structure under limited supervision
2023-02 On impact of mixing times in continual reinforcement learning
2020-08 On improving variational inference with low-variance multi-sample estimators
2021-11 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2022-01 On iterated learning for task-oriented dialogue
2020-08 On learning and generalization in unstructured taskspaces
2024-08 On PI controllers for updating lagrange multipliers in constrained optimization
2021-04 On quantifying the value of simulation for training and evaluating robotic agents
2014-05 On Recurrent and Deep Neural Networks
2021-08 On representation learning for generative models of text
2020-01 On sample efficiency and systematic generalization of grounded language understanding with deep learning
2015-04 On Space-Time Trade-Off for Montgomery Multipliers over Finite Fields
2019-12 On the bias-variance tradeoff : textbooks need an update
1996 On the development of conformance test suites in view of their fault coverage
2015-12 On the fly type specialization without type analysis
Number of results : 1474