Dual Student trains two independent student networks with a stabilization constraint that transfers only confident, perturbation-invariant predictions, improving semi-supervised classification over EMA-teacher baselines.
Self-ensembling for domain adaptation
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Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Dual Student trains two independent student networks with a stabilization constraint that transfers only confident, perturbation-invariant predictions, improving semi-supervised classification over EMA-teacher baselines.