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The Edge of Orthogonality: A Simple View of What Makes BYOL Tick

ICML 2023 · Architectures and efficiency › RNNs and normalization · approach: Layer-wise analysis of language models · 1 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace trainable linear predictor with closed-form NS^2 or Stiefel predictor (with ridge)BYOL · ImageNet-1k linear, 100 epochstop-1 accuracy: +1.2 (68.8 vs 67.6)Helped
Replace trainable linear predictor with closed-form NS^2 or Stiefel predictor (with ridge)BYOL · ImageNet-1k linear, 300 epochstop-1 accuracy: +0.7 (72.2 vs 71.5)Helped
Add ridge term alpha*I to the closed-form predictor (ablation)DirectCopy predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 20.9 at alpha=0 to ~67.5 at alpha=0.6Helped
Add ridge term alpha*I to the NE predictor (ablation)NE predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 61.2 at alpha=0 to 68.5 at alpha=0.15Helped
Add NE correction term (2 Z^T Z' - Z^T Z Z^T Z') relative to DirectCopy (ablation)DirectCopy-style predictor · ImageNet-1k linear, 100 epochs, ridge 0.0top-1 accuracy: 61.2 vs 20.9Helped
Chain two Newton-Schulz iterations (NS^2) instead of one NS (9 iterations) (ablation)NS predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 68.8 vs 68.0Helped
Increase NS iterations from 3 to 9 (ridge 0.9) (ablation)NS predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 68.0 to 68.1 rangeNo clear effect
Reduce Visser iterations from 50+ to 12 or 25 (ablation)Visser predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 67.2 (12 iters) and 68.2 (25) vs 68.4 (50)Hurt
Reduce Stiefel iterations from 9 to 3 (ablation)Stiefel predictor · ImageNet-1k linear, 100 epochstop-1 accuracy: 66.8 (3 iters) vs 68.8 (9 iters)Hurt
Decrease EMA parameter tau toward 0 (remove EMA) (ablation)BYOL · ImageNet-1k, 100 epochsdistance of predictor to polar factorHurt
Add ridge term to Stiefel predictor, stable across alpha>0 at 300 epochs (ablation)Stiefel predictor · ImageNet-1k linear, 300 epochstop-1 accuracy: 71.4 at alpha=0 vs 72.0-72.1 for alpha>0No clear effect

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