Smooth-Distill applies EMA parameter averaging as a self-distillation teacher for multitask HAR and placement detection, and reports consistent but modest gains over multitask baselines.
Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models
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Smooth-Distill: A Self-distillation Framework for Multitask Learning with Wearable Sensor Data
Smooth-Distill applies EMA parameter averaging as a self-distillation teacher for multitask HAR and placement detection, and reports consistent but modest gains over multitask baselines.