#artificial intelligence
Jun 2026
Discovering Latent Groups for Robust Classification
The experiments show that the learned tree topology provides strong interpretability by consistently isolating minority subgroups, which provides a transparent mapping between the model architecture and the data's latent group structure, while yielding competitive robustness with state-of-the-art methods.
Ankur Garg, Ulrich Aivodji, S. Kahou et al.
· arXiv.org · 0 citations