The 38th Annual AAAI Conference on Artificial Intelligence
February 20-27, 2024 | Vancouver, Canada
AAAI-24 Tutorial and Lab Forum
Sponsored by the Association for the Advancement of Artificial Intelligence
February 20-21, 2024 | Vancouver Convention Centre – West Building | Vancouver, BC, Canada
AAAI is pleased to present the AAAI-24 Tutorial and Lab Forum to be held Tuesday and Wednesday, February 20 – 21, 2024. The Tutorial and Lab Forum includes 35 Tutorials and 7 Labs covering a wide range of topics in artificial intelligence. Tutorials and Labs are Half Day (4 hours) or Quarter Day (1 Hour 45 Minutes). Registration for the program is open to all interested individuals and required to participate. Tutorial and Lab registration will be available as an add-on for AAAI-24 technical registrants as well.
What Is the Tutorial Forum?
The Tutorial Forum provides an opportunity for researchers and practitioners to spend time each year freely exploring exciting advances in disciplines outside their normal focus. We believe this type of forum is essential for the cross fertilization, cohesiveness, and vitality of the AI field. We all have a lot to learn from each other; the Tutorial Forum promotes the continuing education of each member of AAAI.
What is the Lab Forum?
In its beginning the AI field focused on proposing theories of computational intelligence, on designing formal models and algorithms, and on characterizing their behavior through analysis and experimentation. Today AI offers a powerful set of modeling tools and decision systems that are having a pervasive impact on a diverse set of real world applications. The purpose of the Lab Forum is to train members of AAAI in using these tools. Often, but not always, tutorials focus on formalisms and algorithms, while labs can focus on teaching methodologies for effectively applying AI tools and modeling frameworks. Labs are often most effectively taught using real world case studies. Also note that tutorials and labs are not exclusive, having tutorials and labs on the same topic can be a powerful combination.
For More Information
Inquiries concerning tutorial and lab forum may be directed to the forum cochairs at aaai24tlchairs@aaai.org. All other inquiries should be directed to AAAI at aaai24@aaai.org.
AAAI-24 Tutorial Co-Chairs
Haris Aziz (UNSW Sydney)
Bo An (Nanyang Technological University)
Tutorial and Lab Forum Schedule
Tuesday, February 20
8:30am-12:30pm
TH1: AI for emerging inverse problems in computational imaging – Room 105
TH2: Beyond Human Creativity: A Tutorial on Advancements in AI Generated Content – Room 107
TH3: Language Models Meet World Models – Room 111
TH4: Learning under Requirements: Supervised and Reinforcement Learning with Constraints – Room 114
TH5: User Simulation for Evaluating Interactive Intelligent Systems – Room 116
LH1: Fully Homomorphic Encryption for Privacy-Preserving Machine Learning Using the OpenFHE Library – Room 118
LH2: Introduction to MDP Modeling and Interaction via RDDL and pyRDDLGym – Room 119
8:30am-10:15am
TQ1: Deep Learning Methods for Unsupervised Time Series Anomaly Detection – Room 121
Cancelled – TQ3: Towards Out-of-Distribution Generalization on Graphs
10:45am-12:30pm
Cancelled – TQ2: Physics-Inspired Geometric Pretraining for Molecule Representation
2:00pm-6:00pm
TH6: Combinatorial Solving with Provably Correct Results – Room 105
Cancelled – TH7: Knowledge Editing for Large Language Models
TH9: Model Reuse: Concepts, Algorithms, and Applications – Room 114
TH10: Recent Advance in Physics-Informed Machine Learning – Room 116
LH3: Measurement Layouts for Capability-oriented AI Evaluation – Room 119
2:00pm-3:45pm
Cancelled – TQ4: Disentangled Representation Learning
TQ6: Out-of-Distribution Generalization in Time Series – Room 122
4:15pm-6:00pm
TQ5: Distributed Stochastic Nested Optimization for Emerging Machine Learning Models – Room 121
Wednesday, February 21
8:30am-12:30pm
TH12: Knowledge-enhanced Graph Learning – Room 105
Cancelled – TH13: Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons
TH14: Machine learning for discrete optimization: Theoretical guarantees and applied frontiers – Room 111
Cancelled – TH15: Privacy-Preserving Techniques for Large Language Models
TH16: Probabilistic Concept Formation with Cobweb – Room 116
LH4: Causal Fairness Analysis – Room 118
8:30am-10:15am
TQ7: Advances in Robust Time-Series ML: From Theory to Practice – Room 119
TQ8: Continual Learning on Graphs: Challenges, Solutions, and Opportunities – Room 121
Cancelled – TQ9: Curriculum Learning: Theories, Approaches, Applications and Tools
10:45am-12:30pm
TQ10: Graphs Counterfactual Explainability: A Comprehensive Landscape – Room 119
LQ1: Enabling trustworthy AI with metadata tracking using Common Metadata Framework – Room 121
2:00pm-6:00pm
TH17: Experiments in Computational Social Choice Using Maps of Elections – Room 105
TH18: Formalizing Robustness in Neural Networks: Explainability, Uncertainty, and Intervenability – Room 107
TH19: Foundations, Practical Applications, and Latest Developments in Causal Decision Making – Room 111
TH20: On the role of Large Language Models in Planning – Room 114
TH21: Scalability, Robustness, and Optimization of Learning in Large Stochastic Games – Room 116
TH22: Trustworthy Machine Learning under Imperfect Data – Room 118
2:00pm-3:45pm
TQ11: Aligning Large Language Models to Low-Resource Languages – Room 119
LQ3: Digging into the Landscape of Graphs Counterfactual Explainability – Room 121
4:15pm-6:00pm
TQ12: Meta-Reinforcement Learning – Room 119
Additional Programming on February 20-21
AAAI is pleased to present the AAAI-24 Bridge Program. Bridges will be held Tuesday and Wednesday, February 20 – 21, 2024. The AAAI-24 bridge program includes 9 Bridges covering a wide range of topics in artificial intelligence. Bridges are one day unless otherwise noted in the individual descriptions. Registration for the program is open to all interested individuals and required to participate. Bridge registration will be available as an add-on for AAAI-24 technical registrants as well.
Tutorial and Lab Forum Connection to Collaborative Bridge Theme
New communities often emerge when two or more disciplines come together, in order to explore new opportunities and perspectives; today both are plentiful. The purpose of this year’s collaborative bridge theme is to help cultivate this process. Tutorials and labs act as catalysts for these bridges, they help to codify recent research results and tools and to present them to the research community in a timely fashion. Our goal for this year’s forum is to present to the community a diverse set of powerful formalisms, methods and tools that are representative of the diversity of AI as a whole.