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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
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