AAAI 2022: accepted papers from the TAILOR Network

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.