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Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data.

Kevin P. NguyenAlex H. TreacherAlbert Montillo
Published in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
  • data sets
  • deep learning
  • mixed effects
  • training data
  • text classification
  • random effects
  • machine learning
  • computer vision
  • topic models
  • differentially private