ShuangWang

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data

Long-tailed distribution datasets are prevalent in many machine learning tasks, yet existing neural network models still face significant challenges when handling such data. This paper proposes a novel adaptive pruning strategy, LTAP (Long-Tailed Adaptive Pruner), aimed at balancing model efficiency…