AAAI-22 Tutorial Forum

Thirty-Sixth Conference on Artificial Intelligence
February 23, 2022
Vancouver, BC, Canada

What Is the Tutorial Forum?

The Tutorial Forum provides an opportunity for researchers and practitioners to explore 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.

Schedule

The following list of tutorials have been accepted for presentation at AAAI-22 (list is preliminary and is subject to change):


 

Half-Day Tutorials

  • AI Planning: Theory and Practice
    Shirin Sohrabi, Michael Katz and Octavian Udrea
  • Automated Learning form Graph-Structured Data
    Quanming Yao, Huan Zhao and Yongqi Zhang
  • Automated Negotiation: Challenges, Approaches, & Tools
    Yasser Mohammad and Amy Greenwald
  • Automated Synthesis: Towards the Holy Grail of AI
    Kuldeep S. Meel, Supratik Chakraborty, S. Akshay, Priyanka Golia and Subhajit Roy
  • Bayesian Optimization: From Foundations to Advanced Topics
    Jana Doppa, Aryan Deshwal and Syrine Belakaria
  • Causal Inference from Relational Data
    Elena Zheleva and David Arbour
  • Deep Learning on Graphs for Natural Language Processing
    Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li and Bang Liu
  • Ethics in Sociotechnical Systems
    Nirav Ajmeri, Pradeep Kumar Murukannaiah and Munindar Singh
  • Fairness in Clustering
    Brian Brubach, Deeparnab Chakrabarty, John P. Dickerson, Seyed Esmaeili, Matthäus Kleindessner, Marina Knittel, Jamie Morgenstern, Samira Samadi, Aravind Srinivasan and Leonidas Tsepenekas
  • Gromov-Wasserstein Learning for Structured Data Modeling
    Hongteng Xu
  • Neuro-Symbolic Methods for Language and Vision
    Hamid Palangi, Antoine Bosselut and Pradeep Dasigi
  • New Trends in Mechanism Design for Considering Participants’ Interactions
    Dengji Zhao
  • On Explainable AI: From Theory to Motivation, Industrial Applications, XAI Coding & Engineering Practices
    Freddy Lecue, Fosca Giannotti, Riccardo Guidotti and Pasquale Minervini
  • Pre-Trained Language Representations for Text Mining
    Yu Meng, Jiaxin Huang, Yu Zhang and Jiawei Han
  • Reasoning on Knowledge Graphs: Symbolic or Neural?
    Meng Qu, Zhaocheng Zhu and Jian Tang
  • Subset Selection in Machine Learning: Theory, Applications, and Hands On
    Rishabh Iyer, Abir De, Ganesh Ramakrishnan and Jeff Bilmes
  • Time Series in Healthcare: Challenges and Solutions
    Mihaela van der Schaar and Fergus Imrie

Quarter-Day Tutorials

  • Adversarial Machine Learning for Good
    Pin-Yu Chen
  • Explanations in Interactive Machine Learning
    Stefano Teso, Oznur Alkan, Elizabeth Daly and Wolfgang Stammer
  • Formal Verification of Deep Neural Networks: Theory and Practice
    Huan Zhang, Kaidi Xu, Shiqi Wang and Cho-Jui Hsieh
  • Hate Speech: Detection, Mitigation and Beyond
    Punyajoy Saha, Binny Mathew, Mithun Das and Animesh Mukherjee
  • Recent Advances in Multi-Agent Path Finding
    Jiaoyang Li, Daniel Harabor, Sven Koenig and Ariel Felner

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