Passer au contenu

/ Département d'informatique et de recherche opérationnelle

Je donne

Thèses et mémoires

Des thèses et mémoires de nos étudiants sont conservés et consultables dans Papyrus, le dépôt institutionnel de l'Université de Montréal.

 

 

For a detailed search
Visit Papyrus
Date Sort by date in ascending order Title Sort by title in ascending order
2024 Distributed fog load balancing to support IoT applications : a reinforcement learning approach
2024 Learning optimizers for communication-efficient distributed learning
2024 Geometric-aware models for protein design
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Sur la génération d'exemples pour réduire le coût d'annotation
2024 An investigation of weight perturbation for mitigating Spurious Correlations
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 Modelling and evolving design-time uncertainty
2024 Aligning language models to code : exploring efficient, temporal, and preference alignment for code generation
2024 Détection universelle des images synthétiques générées par les modèles de diffusion
2024 FACTS-ON : Fighting Against Counterfeit Truths in Online social Networks : fake news, misinformation and disinformation
2024 Microservices identification in existing applications using meta-heuristics optimization and machine learning
2024 Self-supervision for reinforcement learning
2024 Understanding our 3D world via generative modeling
2024 Generative models, theory and applications
2024 Searching for Q*
2024 Building intuitive reinforcement learning algorithms
2024 Scalable and robust fog-computing design & dimensioning in dynamic, trustless smart cities
2024 Evaluating approaches to solving proportional sentence analogies
2024 Towards maintainable machine learning development through continual and modular learning
2024 Génération de données synthétiques pour l'adaptation hors-domaine non-supervisée en réponse aux questions : méthodes basées sur des règles contre réseaux de neurones
2024 Self-play for human-agent communication
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 Dynamic capacities and priorities in stable matching
2024 On PI controllers for updating lagrange multipliers in constrained optimization
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Towards human-AI co-creation for Hindustani music : modeling and interaction
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Intrinsic exploration for reinforcement learning beyond rewards