What’s coming up at #ICML2023?

This year’s International Conference on Machine Learning (ICML) will take place in Honolulu, Hawai’i from 23-29 July. As well as four invited talks, the programme boasts oral and poster presentations, affinity events, tutorials and workshops.

Invited talks

• Marzyeh Ghassemi – Taking the Pulse Of Ethical ML in Health
• Shakir Mohamed – Machine Learning with Social Purpose
• Jennifer Doudna – The Future of ML in Biology: CRISPR for Health and Climate
• John Schulman – Proxy objectives in reinforcement learning from human feedback

Affinity events

There are three affinity group workshops scheduled for this year:

• Indigenous in AI Workshop
• LatinX in AI (LXAI) Workshop
• Women in Machine Learning (WiML) Un-Workshop for ICML 2023

Tutorials

The tutorials will take place on Monday 24 July. There are nine to choose from this year:

• Optimal Transport in Learning, Control, and Dynamical Systems
• Reinforcement Learning from Human Feedback: A Tutorial
• Tutorial on Multimodal Machine Learning: Principles, Challenges, and Open Questions
• Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research
• How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy
• Self-Supervised Learning in Vision: from Research Advances to Best Practices
• Discovering Agent-Centric Latent States in Theory and in Practice
• Recent Advances in the Generalization Theory of Neural Networks
• Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges

Workshops

The workshops will take place on Friday 28 and Saturday 29 July.

• 2nd ICML Workshop on New Frontiers in Adversarial Machine Learning
• New Frontiers in Learning, Control, and Dynamical Systems
• The Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop
• Knowledge and Logical Reasoning in the Era of Data-driven Learning
• Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
• 2nd Workshop on Formal Verification of Machine Learning
• Workshop on Theory of Mind in Communicating Agents
• Challenges in Deployable Generative AI
• Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators
• Structured Probabilistic Inference and Generative Modeling
• PAC-Bayes Meets Interactive Learning
• HiLD: High-dimensional Learning Dynamics Workshop
• The Many Facets of Preference-Based Learning
• 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
• 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
• The Second Workshop on Spurious Correlations, Invariance and Stability
• ES-FoMo: Efficient Systems for Foundation Models
• Duality Principles for Modern Machine Learning
• ICML 2023 Workshop on Computational Biology
• Neural Compression: From Information Theory to Applications
• Sampling and Optimization in Discrete Space
• Generative AI and Law (GenLaw)
• 2nd ICML Workshop on Machine Learning for Astrophysics
• Localized Learning: Decentralized Model Updates via Non-Global Objectives
• Machine Learning for Multimodal Healthcare Data
• Neural Conversational AI Workshop – What’s left to TEACH (Trustworthy, Enhanced, Adaptable, Capable and Human-centric) chatbots?
• DMLR Workshop: Data-centric Machine Learning Research
• Artificial Intelligence & Human Computer Interaction
• Interactive Learning with Implicit Human Feedback
• “Could it have been different?” Counterfactuals in Minds and Machines

You can find out more about the conference here.

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.