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Grounding Representation Similarity Through Statistical Testing

NeurIPS 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Contrastive representation theory · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CKA rather than PWCCA to measure representation dissimilarityBERT base layer representations · QNLI probe, varying pretraining seed and layer depthSpearman ρ with probe accuracy difference: 0.763 -> 0.876Helped
Use CKA rather than PWCCA to measure representation dissimilarityBERT base layer representations · SST-2 probe, varying pretraining seed and layer depthSpearman ρ with probe accuracy difference: 0.829 -> 0.905Helped
Use PWCCA rather than CKA to measure representation dissimilarityBERT base representations with principal-component deletion · SST-2 probeSpearman ρ with probe accuracy difference: 0.751 -> 0.870Helped
Use PWCCA rather than CKA to measure representation dissimilarityBERT base layer representations · HANS lexical non-entailmentSpearman ρ with OOD accuracy difference: 0.462 -> 0.568Helped
Use Procrustes rather than CKA to measure representation dissimilarityBERT medium layer representations · Antonymy stress testSpearman ρ with OOD accuracy difference: 0.227 -> 0.243Helped
Use CKA rather than PWCCA to measure representation dissimilarityBERT medium layer representations · Numerical stress testSpearman ρ with OOD accuracy difference: 0.031 -> 0.122Mixed
Use CKA rather than Procrustes to measure representation dissimilarityResNet-14 layer representations · CIFAR-100 probeSpearman ρ with probe accuracy difference: 0.485 -> 0.507Helped
Use CKA rather than Procrustes to measure representation dissimilarityResNet-14 layer representations · SVHN probeSpearman ρ with probe accuracy difference: 0.363 -> 0.372Helped
Use Procrustes rather than CKA to measure representation dissimilarityResNet-14 layer representations · CIFAR-10C OOD corruptionsSpearman ρ with OOD accuracy difference: 0.041 -> 0.060Helped
Delete principal components from the BERT representation (ablation)BERT base layer 12 · SST-2 probeprobing accuracy: 80\% to 63\%Hurt
Use CKA as the dissimilarity measure instead of Procrustes or PWCCABERT base layer 12 under principal-component deletion · SST-2 probedetectability of representation change: 97\%Hurt

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