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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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2022-08 On discovering and learning structure under limited supervision
2022-08 (Out-of-distribution?) : generalization in deep learning
2022-08 DS-Fake : a data stream mining approach for fake news detection
2022-08 A personality aware recommendation system
2022-08 Sample efficient reinforcement learning for biological sequence design
2022-08 Dynamics of learning and generalization in neural networks
2022-08 Generalization in federated learning
2022-08 Learning to compare nodes in branch and bound with graph neural networks
2022-08 Understanding, improving, and generalizing generative models
2022-08 Syntactic inductive biases for deep learning methods
2022-08 Adversarial games in machine learning : challenges and applications
2022-08 A stochastic integer programming approach to reserve staff scheduling with preferences
2022-08 Personalized fake news aware recommendation system
2022-08 Local differentially private mechanisms for text privacy protection
2022-08 Controllable music performance synthesis via hierarchical modelling
2022-08 Évaluation de la charge mentale des pilotes en manœuvre aérienne
2022-08 Latent data augmentation and modular structure for improved generalization
2022-07 Stability-aware simplification of curve networks
2022-07 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022-06 Accounting for variance and hyperparameter optimization in machine learning benchmarks