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What’s coming up at #IJCAI2024?


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31 July 2024



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The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24) will be held in Jeju Island, South Korea from 3-9 August. The programme will feature keynote talks, panel discussions, tutorial, workshops, and oral and poster presentations. There will also be three special tracks, focussing on: AI, arts and creativity, AI for social good, and human-centred AI.

Keynote talks

There are six invited keynotes at this year’s conference. These will be delivered from 6-9 August.

  • Gillian HadfieldNormative Infrastructure for AI Alignment
  • Thomas DietterichAI in Open Worlds: A Progress Report
  • Bo AnFrom Algorithmic and RL-based to LLM-powered Agents
  • Nisarg ShahDemocratic Foundations of Fair AI via Social Choice
  • David BleiBeyond Roll Call: Inferring Politics from Text
  • Francesca ToniArguing with Machines: Bridging Explainable AI and Contestability

Panel discussions

There are two panel discussions planned. These will cover the following topics:

  • The importance of public engagement
  • Reviewing and large AI conference

Tutorials

There will be 31 tutorials this year, to be held on the first three days of the conference: 3-5 August.

  • T01: Deep Learning for Brain Encoding and Decoding: Principles, Practices and Beyond
  • T02: Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods
  • T03: Enhancing Graph Representation Learning through Subgraph Strategies
  • T04: Continual Learning on Graphs: Challenges, Solutions, and Opportunities
  • T05: Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM
  • T06: All You Ever Need to Know About Counterfactual Explanations: Fundamentals, Methods, & User Studies for XAI
  • T07: Knowledge Editing for Large Language Models
  • T08: Beyond Human Creativity: A Tutorial on Advancements in AI Generated Content
  • T09: AI and Multi-Agent Techniques for Decentralised Energy Systems
  • T10: AI for Financial Markets – Agent based models applied to Bond Markets: Can we build a better market using ABM’s?
  • T11: Mechanism Design without Money: Facility Location Problems
  • T12: Machine Learning for Streaming Data
  • T13: Deep Variational Learning
  • T14: Visually-Rich Document Understanding and Intelligence: Recent Advances and Benchmarks
  • T15: Recommender Systems in the Era of Large Language Models (LLMs)
  • T16: Private Information Retrieval for Personalization Tutorial
  • T17: Machine ethics. A tutorial for prospective researchers
  • T18: Automated Reasoning for Social Choice Theory
  • T19: Tournaments in Computational Social Choice
  • T20: Generative AI for Education (GAIED): Advances, Opportunities, and Challenges
  • T21: Trustworthy Machine Learning under Imperfect Data
  • T22: Strategic ML: How to Learn With Data That ‘Behaves’
  • T23: AI Meets Values: History, Essence, and Recent Advances of Big Model’s Value Alignment
  • T24: Demystifying RL for Large Language Models: A training paradigm shift?
  • T25: Advances in Fairness-aware Reinforcement Learning: Theory and Applications
  • T26: Toward Mitigating Misinformation and Social Media Manipulation in Foundation Model Era
  • T27: A Copyright War: Authentication for Large Language Models
  • T28: Towards Causal Reinforcement Learning: Empowering Agents with Causality
  • T29: Safe Reinforcement Learning: Algorithms, Theory and Applications
  • T30: Probing Machine Learning Models in Angluin’s Style
  • T31: Curriculum Learning: Theories, Approaches, Applications, Tools, and Future Directions in the Era of Large Language Models

Workshops

The workshops will also take place on 3-5 August. There are 35 to choose from this year.

You can find out more about the conference here.



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Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




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