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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