IS2C replaces importance weighting with synthetic same-class mixed samples whose label proportions match the target, plus class-conditional alignment, and claims provable control of target error.
Deep subdomain adaptation network for image classification,
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Partial Domain Adaptation via Importance Sampling-based Shift Correction
IS2C replaces importance weighting with synthetic same-class mixed samples whose label proportions match the target, plus class-conditional alignment, and claims provable control of target error.