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Related Papers

Neural Structural Correspondence Learning for Domain Adaptation

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWe introduce a neural network model that marries together ideas from two prominent strands of research on domain adaptation through representation learning: structural correspondence learning (SCL, (Blitzer et al., 2006)) …...

42017