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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 Estimation de pose 2D par réseau convolutif
2021 AI alignment and generalization in deep learning
2021 Extending domain-specific modeling editors with multi-touch interactions
2021 PatchUp : a feature-space block-level regularization technique for convolutional neural networks
2021 Job dissatisfaction detection through progress note
2021 Assessing neural network dynamics under normal and altered states of consciousness with MEG : methodological challenges and proposed solutions for atypical power spectra
2021 Continuous coordination as a realistic scenario for lifelong learning
2021 On representation learning for generative models of text
2021 Virtual reality therapy for Alzheimer’s disease with speech instruction and real-time neurofeedback system
2021 Les circuits quantiques paramétrés universels comme modèles d'apprentissage automatique
2021 Hybrid and data-driven methods for efficient and realistic particle-based liquid simulations
2021 IIRC : Incremental Implicitly-Refined Classification
2021 Better representation learning for TPMS
2021 Étude de modèles neuronaux de questions-réponses
2021 On inverse reinforcement learning and dynamic discrete choice for predicting path choices
2021 Some phenomenological investigations in deep learning
2021 Towards causal federated learning : a federated approach to learning representations using causal invariance
2021 Evolving‌ ‌artificial‌ ‌neural‌ ‌networks‌‌ ‌to‌ ‌imitate‌ ‌human‌ ‌behaviour‌‌ ‌in‌ ‌Shinobi‌ ‌III‌ ‌:‌ ‌return‌ ‌of‌ ‌the‌ ‌Ninja‌ ‌master‌
2021 Tailored deep learning techniques for information retrieval
2021 Variational aleatoric uncertainty calibration in neural regression