This year marks the 36th Association for the Advancement of Artificial Intelligence (AAAI) Conference. The annual AAAI Conference is a prestigious artificial intelligence conference that aims to promote AI research excellence and encourage connection and exchange among the AI community. This year’s conference will take place virtually from February 22nd to March 1st. This year, CAIDA has five members who have had papers accepted for AAAI: an impressive accomplishment given the large number of excellent applications and the low acceptance rate of only 15%. You can see a list of our members’ papers below, and you can find out more about this year’s conference here.
Chris Cameron, Jason S Hartford, Taylor Lundy, Kevin Leyton-Brown
The Perils of Learning Before Optimizing
Patrick Huber, Linzi Xing, Giuseppe Carenini
Predicting Above-Sentence Discourse Structure using Distant Supervision from Topic Segmentation
Weina Jin, Xiaoxiao Li, Ghassan Hamarneh
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo Seltzer
Fast Sparse Decision Tree Optimization via Reference Ensembles
Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages