A single prior network distilled from a 50-member self-supervised ensemble matches ensemble accuracy and robustness on HAR benchmarks at single-model inference cost.
Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi
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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
A single prior network distilled from a 50-member self-supervised ensemble matches ensemble accuracy and robustness on HAR benchmarks at single-model inference cost.