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Distributionally Robust Post-hoc Classifiers under Prior Shifts

ICLR 2023 · Label-efficient and robust learning › Test-time adaptation · approach: Robust optimization for distribution shift · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Post-hoc DROPS scaling (delta=0.9) instead of training-time logit adjustment or other methodsPreAct-ResNet 18 on class-imbalanced CIFAR-10/100 · CIFAR-10 rho=100, delta=1.0-worst accuracydelta=1.0-worst case accuracy: +10.92 over Logit-Adj (post-hoc) (75.46 vs 64.54)Helped
Post-hoc DROPS scaling instead of Logit-Adj post-hocCIFAR-100 class-imbalanced · CIFAR-100 rho=100 averaged accuracyaveraged class accuracy: DROPS 43.20 vs Logit-Adj (post-hoc) 43.68Mixed
Post-hoc DROPS scaling on ERM model with validation group labels onlyWaterbirds · Waterbirds worst group accuracyworst group accuracy: +6.49 over ERM (77.14 vs 70.65)Helped
Post-hoc DROPS scaling on ERM modelCelebA · CelebA worst group accuracyworst group accuracy: +34.55 over ERM (79.44 vs 44.89)Helped
Post-hoc DROPS scaling applied on top of DFR last-layer retraining (DROPS*) (ablation)CelebA and Waterbirds · CelebA worst group accuracy and Waterbirds worst group accuracyworst group accuracy: CelebA +1.94 over DFR (90.19 vs 88.25); Waterbirds -0.02 vs DFR (91.99 vs 92.01)Mixed
Post-hoc DROPS scaling on ERM for CelebA vs JTTCelebA · CelebA delta=0.05-Worst accuracydelta-worst accuracy: DROPS 86.80 vs JTT 83.34 at delta=0.05 (better); on Averaged, JTT 85.04 vs DROPS 89.05Mixed
Post-hoc DROPS scaling on ERM for CIFAR-100 rho=100 under controlled shiftCIFAR-100 with KL divergence · CIFAR-100 rho=100 averaged accuracyaveraged class accuracy: DROPS 43.20 vs Logit-Adj 43.03 and post-hoc Logit-Adj 43.68 (mixed; trade-off noted by authors)Hurt
Post-hoc DROPS scaling vs Balanced-Softmax training on CIFAR-10 rho=50 averaged accuracyCIFAR-10 rho=50 · CIFAR-10 rho=50 averaged class accuracyaveraged class accuracy: DROPS 83.12 vs Balanced-Softmax 78.76 (better); CIFAR-10 rho=10 DROPS 89.17 vs Balanced-Softmax 87.18Mixed

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