Regression Domain Adaptation

We provide benchmarks of different domain adaptation algorithms on dSprites. Those domain adaptation algorithms includes:

• Margin Disparity Discrepancy (MDD)

Note

• Origin means the accuracy reported by the original paper.

• Avg is the accuracy reported by DALIB.

• Source Only refers to the model trained with data from the source domain.

• Oracle refers to the model trained with data from the target domain.

Note

Labels are all normalized to [0, 1] to eliminate the effects of diverse scale in regression values.

We repeat experiments on DD for three times and report the average error of the final epoch.

dSprites error on ResNet-18

Methods	Avg	C → N	C → S	N → C	N → S	S → C	S → N
Source Only	0.157	0.232	0.271	0.081	0.220	0.038	0.092
DD	0.057	0.047	0.080	0.030	0.095	0.053	0.037