CrossTrainer: Practical Domain Adaptation with Loss Reweighting

7 May 2019 Justin Chen Edward Gan Kexin Rong Sahaana Suri Peter Bailis

Domain adaptation provides a powerful set of model training techniques given domain-specific training data and supplemental data with unknown relevance. The techniques are useful when users need to develop models with data from varying sources, of varying quality, or from different time ranges... (read more)

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