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 is Senior Managing Editor for AIhub.

Lucy Smith is Senior Managing Editor for AIhub.