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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 décroissant Titre Trier par titre en ordre décroissant
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
Nombre de résultats : 1603