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What’s on the programme at #IJCAI2023?

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17 August 2023



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IJCAI 2023 logo with backdrop of Macao at nighttime

The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) will take place in Macao from 19-25 August 2023. The programme includes plenary talks, workshops, symposia and tutorials. In addition to the main track, there are two special tracks, namely AI for good, and AI, the arts and creativity.

Plenary speakers

There will be nine invited plenary talks at the conference this year.

  • Alex Teytelboym – Refugees.AI: Improving Refugee Resettlement and Humanitarian Parole
  • Pascale Fung – Safer Generative ConvAI
  • Dieter Fox – Toward Foundational Robot Manipulation Skills
  • Mary Lou Maher – Enhancing Human Creativity Through the Synergy of Cognitive and Connectionist Models
  • Noam Brown – CICERO: Human-Level Performance in the Game of Diplomacy by Combining Language Models with Strategic Reasoning
  • Alice Xiang – Mirror, Mirror, on the Wall, Who’s the Fairest of Them All?
  • Sarit Kraus – Human-agent collaboration: facing the challenges of super-intelligent agents
  • Pin-Yu Chen – An Eye for AI: Towards Scientific Approaches for Evaluating and Improving Robustness and Safety of Foundation Models
  • Suchi Saria – Title to be confirmed

Workshops

There are 29 workshops taking place this year:

Symposia

The four symposia are as follows:

Tutorials

The 27 tutorials taking place at this year’s event are:

  • Advances in Optimal Transport-based Machine Learning
  • Deep Reinforcement Learning for Quantitative Trading
  • Moving Beyond Traditional Anomaly Detection
  • Integrated Task and Motion Planning
  • Meaning Representations for Natural Languages: Design, Models and Applications
  • Towards Out-of-Distribution Generalization on Graphs
  • Trustworthy Recommender Systems: Foundations and Frontiers
  • Data-Centric AI: Foundation, Frontiers and Applications in the quest for robust and reliable AI systems
  • Knowledge-aware Zero-shot Learning (K-ZSL): Concepts, Methods and Resources
  • Continual Learning and Its Extension to Pre-trained Models
  • Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities
  • Experiments in Computational Social Choice Using Maps of Elections
  • Deep Non-IID Learning
  • Sentiment Analysis and Beyond in the Era of Enlarged Language Models
  • Auditing Bias of Machine Learning Algorithms: Tools and Overview
  • Deep Learning Methods for Unsupervised Time Series Anomaly Detection
  • Reproducible and Efficient Multi-modal Open Retrieval Question Answering
  • The State-of-the-Art and Challenges of Data Stream Clustering Algorithms in Practice
  • Deep Learning in Mathematical Reasoning: Recent Advances and Beyond
  • Graphical Event Models
  • A Hands-on Tutorial for Learning with Noisy Labels
  • Combinatorial Solving with Provably Correct Results
  • Learning from Non-IID Data: Centralized vs. Federated Learning
  • Empathetic Conversational Artificial Intelligence Systems: Recent Advances and New Frontiers
  • Joint Modeling in Recommendations: Foundations and Frontiers
  • Sparse Training for Supervised, Unsupervised, Continual, and Deep Reinforcement Learning with Deep Neural Networks
  • Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding

Find out more



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Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.




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