Empire State University

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...

A Hybrid Vision Transformer and EfficientNet-B3 Framework for Facial Expression Recognition

Facial expression recognition technology is vital for security, verification, and personalization, but it faces challenges due to variations in scale, illumination, occlusion, and facial expressions. This paper presents a hybrid architecture that combines Vision Transformers (ViT...