Domain adaptation

Abstract

This specification describes an apparatus relating to domain adaptation. The apparatus may comprise a means for providing a source dataset comprising a plurality of source data items associated with a source domain and a target dataset comprising a plurality of target data items associated with a target domain. The apparatus may also comprise means for providing a first computational model (34, 41) associated with the source domain dataset, the first computational model being associated with a plurality of source domain classes. The apparatus may also comprise means for generating, for each of a series of target data items xt input to the first computational model (34, 41), a target weight δT indicative of a confidence value that said target data item belongs to a class which is shared with known classes of the first computational model, and means for generating, for each of a series of source data items xs input to the first computational model (34, 41), a source weight δS indicative of a confidence value that said source data item belongs to a known class of the first computational model (34, 41), shared with the target domain. The apparatus may adapt at least part of the first computational model (34, 41) by means of one or more processors, to generate a second computational model by training a discriminator (42) to seek to decrease a discriminator loss function, the discriminator loss function being computed using the source and target data items xs xt, respectively weighted by the source and target weights δS, δT.

Dependencies are inferred from the claim text.