Tutorials
Reinforcement Learning from Human Feedback: A Tutorial *
Dmitry Ustalov ⋅ Nathan Lambert
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Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Liang ⋅ LP Morency
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Optimal Transport in Learning, Control, and Dynamical Systems
Charlotte Bunne ⋅ marco cuturi
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Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research
Giovanni Da San Martino ⋅ Preslav Nakov
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Self-Supervised Learning in Vision: from Research Advances to Best Practices
Xinlei Chen ⋅ Ishan Misra ⋅ Randall Balestriero ⋅ Mathilde Caron ⋅ Christoph Feichtenhofer ⋅ Mark Ibrahim
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How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
Sergei Vassilvitskii ⋅ Natalia Ponomareva ⋅ Zheng Xu
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Discovering Agent-Centric Latent States in Theory and in Practice
John Langford ⋅ Alex Lamb
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Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges
Krishnaram Kenthapadi ⋅ Hima Lakkaraju ⋅ Nazneen Rajani
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Recent Advances in the Generalization Theory of Neural Networks *
Tengyu Ma ⋅ Alex Damian
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