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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 Sort by date in descending order Title Sort by title in descending order
2020 Towards deep unsupervised inverse graphics
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties
2024 Beyond the status quo in deep reinforcement learning
2019 Representation learning for dialogue systems
2016 Speech synthesis using recurrent neural networks
2016 Towards deep semi supervised learning
2022 Advances in generative models for dynamic scenes
2021 Continuous coordination as a realistic scenario for lifelong learning
2022 Syntactic inductive biases for deep learning methods
2023 Differentiable best response shaping
2021 AI alignment and generalization in deep learning
2020 On improving variational inference with low-variance multi-sample estimators
2023 Probability flows in deep learning
2022 On iterated learning for task-oriented dialogue
2019 Towards learning sentence representation with self-supervision
2023 Emergence of language-like latents in deep neural networks
2023 Sequential decision modeling in uncertain conditions
2026 Advancing training methods for robust discriminative models
2020 Estimation neuronale de l'information mutuelle
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2025 Neural architectures for compositional generalisation
2018 Sequence to sequence learning and its speech applications
2024 Self-supervision for reinforcement learning
2019 Representation learning in unsupervised domain translation
2017 Deep Learning for Video Modelling
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2016 Influencing the Properties of Latent Spaces
2017 Generative models for natural images
2018 Advances in deep learning with limited supervision and computational resources
2019 Emerging communication between competitive agents