DMM merges highly divergent domain-specific models without data sharing by synthesizing pseudo-data from normalization statistics and distilling knowledge, achieving state-of-the-art performance on unimodal and multimodal benchmarks.
Heterogeneous domain adaptation: An unsupervised approach,
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Domain-Adaptive Model Merging Across Disconnected Modes
DMM merges highly divergent domain-specific models without data sharing by synthesizing pseudo-data from normalization statistics and distilling knowledge, achieving state-of-the-art performance on unimodal and multimodal benchmarks.