Results for Deep Learning
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Heterogeneous Multi-task Learning with Expert Diversity
Learning And Generalization
Publications
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Learning Discriminative Prototypes with Dynamic Time Warping
Computer Vision
Publications
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Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Reinforcement Learning
Publications
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Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
Reinforcement Learning
Publications
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Noise Flow: Noise Modeling with Conditional Normalizing Flows
Computer Vision
Publications
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Lifelong GAN: Continual Learning for Conditional Image Generation
Learning And Generalization
Publications
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Action Guidance with MCTS for Deep Reinforcement Learning
Reinforcement Learning
Publications
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Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
Reinforcement Learning
Publications
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Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
Reinforcement Learning
Publications
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Private Q-Learning with Functional Noise in Continuous Spaces
Reinforcement Learning, Responsible AI
Publications
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Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
Reinforcement Learning
Publications
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Uniform Stability and High Order Approximation of SGLD in Non-Convex Learning
Learning And Generalization
Publications
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Machine Learning Certification: Approaches and Challenges
Responsible AI
Research
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Explainability I: local post-hoc explanations
Research
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Our NeurIPS 2021 Reading List
Computer Vision, Data Visualization, Graph Representation Learning, Learning And Generalization, Natural Language Processing, Optimization, Reinforcement Learning, Time series Modelling, Unsupervised Learning
Research
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Heterogeneous Multi-task Learning with Expert Diversity
Computer Vision, Natural Language Processing, Reinforcement Learning
Research
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Tutorial #9: SAT Solvers I: Introduction and applications
Optimization
Research
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The End of Anonymity Ensuring Facial Recognition is Used for Good
Research
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Notes on NIPS 2017
Learning And Generalization, Natural Language Processing
Research
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The Pommerman team competition or: How we learned to stop worrying and love the battle
Learning And Generalization
Research
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2020 End of Year Reading List
Research
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Our NeurIPS 2018 papers
Learning And Generalization, Reinforcement Learning, Responsible AI
Research
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Tutorial #4: auxiliary tasks in deep reinforcement learning
Reinforcement Learning
Research
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Is multiagent deep reinforcement learning the answer or the question? A brief survey
Research
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The Borealis AI 2020-2021 Fellowships: Supporting Canada’s AI Research Ecosystem
News
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Prof. Kristian Kersting on deep machines that know when they do not know
News
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Prof. Pascal Poupart on unsupervised video object segmentation for deep reinforcement learning
News
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Xiaodan Zhu on several deep learning models for reasoning in natural language
News
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Ioannis Mitliagkas on studying momentum dynamics for faster training, better scaling and easier tuning
News
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Karolina Dziugaite on nonvacuous generalization bounds for deep neural networks via PAC-Bayes
News
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Waterloo.ai heralds the next wave of Canada’s AI cities
News
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Prof. Pascal Poupart on structured learning in deep learning
News
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Prof. Greg Mori on deep structured models for human activity
News
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Borealis AI co-hosts ‘AI in Toronto’ event for MILA summer school students
News
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RESPECT AI: Right to some Privacy
Responsible AI
News
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NIPS 2016
News