ΑΙhub.org
 

What’s coming up at #IJCAI2024?

by
31 July 2024



share this:


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.



tags: ,


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




            AIhub is supported by:


Related posts :



The Turing Lectures: Can we trust AI? – with Abeba Birhane

Abeba covers biases in data, the downstream impact on AI systems and our daily lives, how researchers are tackling the problem, and more.
21 November 2024, by

Dynamic faceted search: from haystack to highlight

The authors develop and compare three distinct methods for dynamic facet generation (DFG).
20 November 2024, by , and

Identification of hazardous areas for priority landmine clearance: AI for humanitarian mine action

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool to identify hazardous clusters of landmines.
19 November 2024, by

On the Road to Gundag(AI): Ensuring rural communities benefit from the AI revolution

We need to help regional small businesses benefit from AI while avoiding the harmful aspects.
18 November 2024, by

Making it easier to verify an AI model’s responses

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
15 November 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association