The AAAI is one of the major global conferences for AI research and scientific exchange among AI researchers, practitioners, scientists, and engineers in affiliated disciplines. In 2022, it will be a virtual conference February 22 – March 1. Several prominent researchers from the TAILOR consortium have papers accepted for the conference:
- “REMOTE: Reinforced Motion Transformation Network for Semi-Supervised 2D Pose Estimation in Videos” by Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu
- “Inference and Learning with Model Uncertainty in Probabilistic Logic Programs” by Victor Verreet, Vincent Derkinderen, Pedro Zuidberg Dos Martires, Luc De Raedt
- “DeepStochLog: Neural Stochastic Logic Programming” by Thomas Winters, Giuseppe Marra, Robin Manhaeve, Luc De Raedt
- “Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach by Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov
- “The FF Heuristic for Lifted Classical Planning by Augusto B. Corrêa, Florian Pommerening, Malte Helmert, Guillem Francès
- “When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty by Fernando Martínez-Plumed, David Castellano-Falcón, Carlos Monserrat, José Hernández-Orallo
- “Trading Complexity for Sparsity in Random Forest Explanations by Gilles Audemard, Steve Bellart, Lounès Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
- “Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes by Guillermo Infante, Anders Jonsson, Vicenç Gómez
The (very long) list of accepted papers can be found on the AAAI2022 conference website.
Are you a part of the TAILOR consortium and have a paper accepted? Please let us know so we can update this text! Just send an email to the communications team.