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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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2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Contributions à la sonification d’image et à la classification de sons
2022 Regroupement de textes avec des approches simples et efficaces exploitant la représentation vectorielle contextuelle SBERT
2022 Incorporating health factors into food recommendation : experiments on real-world data from a weight-loss app
2022 Agent abstraction in multi-agent reinforcement learning
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2022 Mixed-integer programming representation for symmetrical partition function form games
2022 Sample efficient reinforcement learning for biological sequence design
2022 Generating graphical and projectional editors
2022 Parametric Scattering Networks
2022 Contributions to generative models and their applications
2022 Taxonomy of datasets in graph learning : a data-driven approach to improve GNN benchmarking
2022 Renormalization group theory, scaling laws and deep learning
2022 Neural probabilistic path prediction : skipping paths for acceleration
2022 Learning to compare nodes in branch and bound with graph neural networks
2022 Generalization in federated learning
2022 Latent data augmentation and modular structure for improved generalization
2022 Advances in generative models for dynamic scenes
2022 Extraction of UML class diagrams from natural language specifications
2022 On discovering and learning structure under limited supervision
Number of results : 1662