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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 Sort by date in descending order Title Sort by title in descending order
2021 Typer a de la classe : le polymorphisme ad hoc dans un langage avec des types dépendants et de la métaprogrammation
2016 Turbulence de surface pour des simulations de fluides basées sur un système de particules
2015 Transformations quasi-conformes de maillages volumiques et applications en infographie
1990 Transformations de programmes logiques : Bases sémantiques et applications
2011 Transformation by example
2007 Traitement interactif de plis dans la simulation de tissus
2022 Traitement des données scRNA-seq issues de la technologie Drop-Seq : application à l’étude des réseaux transcriptionnels dans le cancer du sein
1991 Traitement de l'incertitude : une implantation de la théorie de Dempster-Shafer en Smalltalk
2023 Traitement automatique du langage naturel pour les textes juridiques : prédiction de verdict et exploitation de connaissances du domaine
2023 Training large multimodal language models with ethical values
2009 Training deep convolutional architectures for vision
2020 Traffic prediction and bilevel network design
2012 Traduction statistique vers une langue à morphologie riche : combinaison d’algorithmes de segmentation morphologique et de modèles statistiques de traduction automatique
2010 Traduction statistique par recherche locale
1994 Traduction d'un sous-ensemble de SDL en Estelle
2023 Toward trustworthy deep learning : out-of-distribution generalization and few-shot learning
2020 Towards using intelligent techniques to assist software specialists in their tasks
2020 Towards using fluctuations in internal quality metrics to find design intents
2019 Towards Understanding Generalization in Gradient-Based Meta-Learning
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2024 Towards systematic generalization through meta-learning modular architectures and improving generative flow networks
2020 Towards privacy preserving cooperative cloud based intrusion detection systems
2023 Towards privacy-preserving and fairness-enhanced item ranking in recommender systems
2025 Towards optimal knowledge transfer for efficient language models
2026 Toward socially responsible artificial intelligence approaches for fake news detection
2025 Towards more robust theoretical frameworks for deep neural network optimization
2022 Towards meaningful and data-efficient learning : exploring GAN losses, improving few-shot benchmarks, and multimodal video captioning
2024 Towards maintainable machine learning development through continual and modular learning
2019 Towards learning sentence representation with self-supervision
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2021 Towards fairness in Kidney Exchange Programs
2026 Towards efficient, reliable and measurable vision-language systems
2024 Towards efficient large language models : training low-bitwidth variants and low-rank decomposition of pretrained models
2024 Towards efficient and effective preference alignment for large language models
2020 Towards deep unsupervised inverse graphics
2016 Towards deep semi supervised learning
2021 Towards computationally efficient neural networks with adaptive and dynamic computations
2023 Towards combining deep learning and statistical relational learning for reasoning on graphs
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2020 Towards better understanding and improving optimization in recurrent neural networks
2023 Towards a unified model for speech and language processing
2012 Towards a Privacy-enhanced Social Networking Site
2023 Towards an extension of causal discovery with generative flow networks to latent variables models
1997 Towards a formal definition of security for quantum protocols
2025 Towards adaptive personalization in conversational search
2023 Towards adaptive deep model-based reinforcement learning
2025 Towards accurate RNA structural evaluation : a study of RNA tertiary structural evaluation and ARES performance improvement
2025 Toward neural networks that generalize systematically
2026 Toward efficient and scalable optimization : theoretical insights and practical challenges
2023 Toward causal representation and structure learning
Number of results : 1659