Seyed Sahand Mohammadi Ziabari

A reinforcement-driven multiple-instance learning method for multi-task speaker attribute prediction

Abstract Standard models for predicting speaker attributes from text often fail to manage multiple, interdependent attributes simultaneously, and existing Reinforced Multiple-Instance Learning (RL–MIL) frameworks are typically limited to single-task prediction. To address this, w...