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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
2026 Advancing training methods for robust discriminative models
2020 Estimation neuronale de l'information mutuelle
2024 Self-supervision for reinforcement learning
2022 Syntactic inductive biases for deep learning methods
2024 Promoting robustness and compositionality in machine learning with insights from cognitive bottlenecks
2023 Improving predictive behavior under distributional shift
2019 No Press Diplomacy
2020 Deep learning and reinforcement learning methods for grounded goal-oriented dialogue
2019 Emerging communication between competitive agents
2017 Generative models for natural images
2023 Emergence of language-like latents in deep neural networks
2021 AI alignment and generalization in deep learning
2017 Deep Learning for Video Modelling
2021 Continuous coordination as a realistic scenario for lifelong learning
2022 Advances in generative models for dynamic scenes
2016 Speech synthesis using recurrent neural networks
2019 Representation learning for dialogue systems
2016 Towards deep semi supervised learning
2024 Beyond the status quo in deep reinforcement learning
2024 Beyond top line metrics : understanding the trade-off between model size and generalization properties