AAAI 2026technical0 citations
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang
Abstract
Deep human action recognition models trained on real-world data are often challenged by long-tailed distributions, where performance on rare classes is severely degraded. Current solutions typically apply static or heuristic interventions that are disconnected from the model
BibTeX
@inproceedings{aaai2026_learningdynamics,
title = {Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition},
author = {Yuan Dong and Zhe Zhao and Liheng Yu and Di Wu and Pengkun Wang},
booktitle = {AAAI 2026},
year = {2026}
}