AAAI 2022 Accepted Papers

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January 7, 2022

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


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