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 is Senior Managing Editor for AIhub.

Lucy Smith is Senior Managing Editor for AIhub.