What’s on the programme at #ICML2024?

This year’s International Conference on Machine Learning (ICML) will take place in Vienna, Austria from 21-27 July 2024. As well as six invited talks, the programme boasts oral and poster presentations, affinity events, tutorials, and workshops.

Invited talks

• Soumith Chintala – Unapologetically Open Science – the complexity and challenges of making openness win!
• Lucía Magis-Weinberg – The effects of digital technology on youth development in low-and-middle-income countries
• Vukosi Marivate – Gondzo – Charting a path for African low-resource languages: a multifaceted approach to research and development
• Javier Duarte – Machine Learning Opportunities for the Next Generation of Particle Physics
• Chelsea Finn – “What robots have taught me about machine learning”
• Lucilla Sioli – View of AI from the European Commission

Affinity events

There are three affinity group workshops scheduled for this year:

• Queer in AI and {Dis}ability in AI Workshop – Monday 22 July
• LatinX in AI (LXAI) Research – Monday 22 July
• Women in Machine Learning Symposium – Wednesday 24 July

Tutorials

The tutorials will take place on Monday 22 July. There are 12 to choose from this year. Links to the event pages are included where available.

• Data Attribution at Scale
• Towards Efficient Generative Large Language Model Serving: A Tutorial from Algorithms to Systems
• Strategic ML: How to Learn With Data That ‘Behaves’
• Neural Operator Learning
• Mixture-of-Experts in the Era of LLMs: A New Odyssey
• Understanding the Role of Large Language Models in Planning
• Distribution-Free Predictive Uncertainty Quantification: Strengths and Limits of Conformal Prediction
• Foundations of Data-efficient Machine Learning
• Physics of Language Models
• Challenges in Language Model Evaluations
• Convex Analysis at Infinity: An Introduction to Astral Space
• Graph Learning: Principles, Challenges, and Open Directions

Workshops

The workshops will take place on Friday 26 and Saturday 27 July.

• Models of Human Feedback for AI Alignment
• Next Generation of AI Safety
• Structured Probabilistic Inference and Generative Modeling
• Machine Learning for Earth System Modeling: Accelerating Pathways to Impact
• AI for Math Workshop
• Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators
• ICML 2024 Workshop on Foundation Models in the Wild
• ML for Life and Material Science: From Theory to Industry Applications
• Multi-modal Foundation Model meets Embodied AI (MFM-EAI)
• Next Generation of Sequence Modeling Architectures
• Aligning Reinforcement Learning Experimentalists and Theorists
• ES-FoMo II: 2nd Workshop on Efficient Systems for Foundation Models
• Long-Context Foundation Models
• AI for Science: Scaling in AI for Scientific Discovery
• High-dimensional Learning Dynamics Workshop: The Emergence of Structure and Reasoning
• Foundations of Reinforcement Learning and Control: Connections and Perspectives
• Trustworthy Multi-modal Foundation Models and AI Agents (TiFA)
• Workshop on Mechanistic Interpretability
• Workshop on Theoretical Foundations of Foundation Models (TF2M)
• 2nd Workshop on Generative AI and Law (GenLaw ’24)
• Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs
• ICML Workshop on Large Language Models and Cognition
• 1st ICML Workshop on In-Context Learning (ICL @ ICML 2024)
• Agentic Markets Workshop
• Text, camera, action! Frontiers in controllable video generation
• Accessible and Efficient Foundation Models for Biological Discovery
• Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact
• 2nd Workshop on Advancing Neural Network Training : Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML 2024)
• Geometry-grounded Representation Learning and Generative Modeling

You can find out more about the conference here.

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.