Table 6.

Results on TerraInc-MLT.

Algorithm	F1-Score (by domain)		Accuracy (by domain)		Accuracy (by shot)
	Average	Worst	Average	Worst	Many	Medium	Few	Zero
IRM	0.486	0.421	0.586	0.530	0.752	0.237	0.183	0.073
DANN	0.434	0.379	0.527	0.464	0.646	0.275	0.133	0.227
CDANN	0.367	0.326	0.472	0.414	0.616	0.037	0.217	0.086
CORAL	0.682	0.587	0.776	0.685	0.872	0.738	0.717	0.136
MMD	0.698	0.562	0.792	0.696	0.878	0.875	0.750	0.156
Focal	0.672	0.587	0.778	0.707	0.870	0.863	0.667	0.073
CBLoss	0.696	0.559	0.776	0.657	0.852	0.812	0.750	0.254
LDAM	0.690	0.583	0.786	0.680	0.880	0.800	0.700	0.131
Bsoftmax	0.761	0.687	0.823	0.762	0.862	0.913	0.933	0.343
CRT (2-stage training)	0.737	0.622	0.841	0.724	0.910	0.950	0.900	0.122
BoDA	0.695	0.597	0.792	0.696	0.888	0.762	0.767	0.104
BoDA (2-stage training)	0.729	0.626	0.824	0.735	0.892	0.887	0.900	0.151
ERM	0.675	0.593	0.778	0.696	0.884	0.800	0.600	0.098
GroupDRO	0.602	0.551	0.705	0.596	0.820	0.700	0.367	0.104
Mixup	0.656	0.561	0.737	0.669	0.860	0.650	0.500	0.167
SagNet	0.682	0.586	0.780	0.707	0.888	0.775	0.533	0.135
MLDG	0.687	0.567	0.790	0.680	0.886	0.800	0.733	0.089
MTL	0.674	0.583	0.780	0.696	0.880	0.775	0.700	0.080
Fish	0.691	0.583	0.802	0.696	0.888	0.863	0.800	0.064
BRL (ours)	0.780	0.712	0.824	0.768	0.872	0.862	0.817	0.430
BRL (2-stage training)	0.802	0.713	0.849	0.773	0.892	0.913	0.900	0.423