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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 IIRC : Incremental Implicitly-Refined Classification
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2022 Benchmarking bias mitigation algorithms in representation learning through fairness metrics
2024 Towards efficient and effective preference alignment for large language models
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2002 Resource Warehouses : a distributed information management infrastructure
2002 Network information discovery and structural optimization in the WOS's context by using distributed algorithms
1996 Spécification formelle de systèmes d'information interactifs par la technique des scénarios
2024 Domain adaptation in reinforcement learning via causal representation learning
2022 Sample efficient reinforcement learning for biological sequence design
2022 Accelerated algorithms for temporal difference learning methods
2023 Model-based hyperparameter optimization
2021 Learning neural ordinary differential equations for optimal control
2021 Steepest descent as Linear Quadratic Regulation
2024 Beyond the horizon : improved long-range sequence modeling, from dynamical systems to language
2021 Parsimonious reasoning in reinforcement learning for better credit assignment
2024 Parameter, experience, and compute efficient deep reinforcement learning
2022 Stabilizing Q-Learning for continuous control
2022 Measuring RocksDB performance and adaptive sampling for model estimation
2017 Évaluation de politiques de séquençage d'arrivées d'avions par Simulation Monte Carlo
Number of results : 1512