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S. S. Mohammadi Ziabari

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Open access Aug 2026

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

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, we propose and evaluate a Reinforced, Multi-Task,...

Stijn Lakeman, S. S. Mohammadi Ziabari, A. M. Alsahag · 3 citations

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