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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 Trier par date en ordre croissant Titre Trier par titre en ordre croissant
2002 Tool support for context-based comprehension of large-scale software systems
2023-08 Toward causal representation and structure learning
2023-08 Towards adaptive deep model-based reinforcement learning
1997 Towards a formal definition of security for quantum protocols
2023-12 Towards an extension of causal discovery with generative flow networks to latent variables models
2012-04 Towards a Privacy-enhanced Social Networking Site
2023-12 Towards a unified model for speech and language processing
2020-07 Towards better understanding and improving optimization in recurrent neural networks
2021-10 Towards causal federated learning : a federated approach to learning representations using causal invariance
2023-12 Towards combining deep learning and statistical relational learning for reasoning on graphs
2021-08 Towards computationally efficient neural networks with adaptive and dynamic computations
2016-05 Towards deep semi supervised learning
2020-12 Towards deep unsupervised inverse graphics
2021-08 Towards fairness in Kidney Exchange Programs
2019-07 Towards learning sentence representation with self-supervision
2022-09 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2023-07 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2020-08 Towards privacy preserving cooperative cloud based intrusion detection systems
2023-06 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2019-08 Towards Understanding Generalization in Gradient-Based Meta-Learning