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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 décroissant Titre Trier par titre en ordre décroissant
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
2016 Towards deep semi supervised learning
2019 Representation learning for dialogue systems
2016 Speech synthesis using recurrent neural networks
2022 Advances in generative models for dynamic scenes
2021 Continuous coordination as a realistic scenario for lifelong learning
2017 Deep Learning for Video Modelling
2021 AI alignment and generalization in deep learning
2023 Emergence of language-like latents in deep neural networks
2017 Generative models for natural images
2019 Emerging communication between competitive agents
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2019 No Press Diplomacy
2023 Improving predictive behavior under distributional shift
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2022 Syntactic inductive biases for deep learning methods
2024 Self-supervision for reinforcement learning
2020 Estimation neuronale de l'information mutuelle
2026 Advancing training methods for robust discriminative models
2022 On iterated learning for task-oriented dialogue
2023 Probability flows in deep learning
2023 Differentiable best response shaping
2018 Generative models : a critical review
2020 On improving variational inference with low-variance multi-sample estimators
2018 Sequence to sequence learning and its speech applications
2018 Advances in deep learning with limited supervision and computational resources
2026 Advantage alignment and large language models
2018 Latent variable language models
Nombre de résultats : 1661