What’s on the programme at #IJCAI2023?

by Lucy Smith

17 August 2023

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