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Few-shot Domain Adaptation by Causal Mechanism Transfer

ICML 2020 · Label-efficient and robust learning › Domain adaptation and generalization · approach: Conditional distribution alignment · 35 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Transfer using the shared-mechanism estimate and target-IC recombination rather than TarOnlyMechanism transfer · Gasoline consumption, 18 country targetsnormalized MSEMixed
Transfer using the shared-mechanism estimate and target-IC recombination rather than TarOnlyMechanism transfer · Gasoline consumption; DEU targetnormalized MSE: 16.99 (8.04) -> 6.71 (1.23)Helped
Transfer using the shared-mechanism estimate and target-IC recombination rather than TarOnlyMechanism transfer · Gasoline consumption; GBR targetnormalized MSE: 5.95 (1.86) -> 2.66 (0.57)Helped
Transfer using the shared-mechanism estimate and target-IC recombination rather than TarOnlyMechanism transfer · Gasoline consumption; USA targetnormalized MSE: 4.98 (1.96) -> 1.60 (0.42)Helped
Use mechanism transfer rather than TarOnlyMechanism transfer · Gasoline consumption; IRL targetnormalized MSE: 3.05 (0.34) -> 4.35 (1.25)Hurt
Use mechanism transfer rather than TarOnlyMechanism transfer · Gasoline consumption; ITA targetnormalized MSE: 13.00 (4.15) -> 14.05 (4.81)Hurt
Use mechanism transfer rather than the strongest naive baselineMechanism transfer · Gasoline consumption; NLD targetnormalized MSE: 0.99 (0.06) -> 3.87 (0.79)Hurt

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