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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 croissant Titre Trier par titre en ordre croissant
2024 Learning optimizers for communication-efficient distributed learning
2024 Exploring multivariate adaptations of the Lag-Llama univariate time series forecasting approach
2024 The equivalence of contrastive learning and graph convolution in collaborative filtering
2024 Enhancing agent learning through world dynamics modeling
2024 Constrained optimization for machine learning : algorithms and applications
2024 The role of continual learning and adaptive computation in improving computational efficiency of deep learning
2024 A LiDAR and Camera Based Convolutional Neural Network for the Real-Time Identification of Walking Terrain
2024 The shifting landscape of data : learning to tame distributional shifts
2024 Domain adaptation in reinforcement learning via causal representation learning
2024 Dichotomy(?) of fairness and efficiency
2024 HarmonyCo : développement d'une bibliothèque Python pour le calcul optimisé de la médiane de permutations
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2024 Geometric-aware models for protein design
2023 Advances in uncertainty modelling : from epistemic uncertainty estimation to generalized generative flow networks
2023 Coordination in generative modeling, automatic differentiation and multi-agent learning
2023 Towards adaptive deep model-based reinforcement learning
2023 A multi-agent nudge-based approach for disclosure mitigation online
2023 Entanglement-assisted communication complexity and nonlocal games
2023 Leveraging self-supervision for visual embodied navigation with neuralized potential fields
2023 Calibrated uncertainty estimation for SLAM
2023 Methods for solving combinatorial pricing problems
2023 Building sample-efficient reinforcement learning
2023 Neurobiologically-inspired models : exploring behaviour prediction, learning algorithms, and reinforcement learning
2023 Towards the reduction of greenhouse gas emissions : models and algorithms for ridesharing and carbon capture and storage
2023 Improving predictive behavior under distributional shift
2023 An exploratory study of decision-focused learning for mutli-commodity network design in transportation
2023 Detecting pre-error states and process deviations resulting from cognitive overload in aircraft pilots
2023 Low-resource suicide ideation and depression detection with multitask learning and large language models
2023 Adding hygiene to gambit scheme
2023 Detection, recuperation and cross-subject classification of mental fatigue
2023 AI-based modeling of brain and behavior : combining neuroimaging, imitation learning and video games
2023 Parameter-efficient modeling and robust automatic evaluation of image captioning
2023 Analysis of the human corneal shape with machine learning
2023 Generative models : from data generation to representation learning
2023 Enhancing cybersecurity awareness through educational games : design of an adaptive visual novel game
2023 Analysis and evaluation of the pilot attentional model
2023 Remote sensing representation learning for a species distribution modeling case study
2023 Multi-task learning for joint diagnosis of CNVs and psychiatric conditions from rs-fMRI
2023 Predicting stock market trends using time-series classification with dynamic neural networks
2023 Training large multimodal language models with ethical values
Nombre de résultats : 1603