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Class Normalization for (Continual)? Generalized Zero-Shot Learning

ICLR 2021 · Label-efficient and robust learning › Zero-/few-shot and meta-learning · approach: Generative feature synthesis for zero-shot · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add class normalization to a 3-layer MLP (ablation)Embedding-based ZSL · SUN, CUB, AwA1, and AwA2H: SUN 35.3 -> 43.1; CUB 46.7 -> 50.3; AwA1 62.8 -> 67.8; AwA2 62.1 -> 67.6Mixed
Add class normalization to EWC-online (ablation)Continual zero-shot learning · CUB and SUNmH: CUB 18.0 -> 23.3; SUN 9.6 -> 14.3Helped
Add class normalization to MAS-online (ablation)Continual zero-shot learning · CUB and SUNmH: CUB 17.7 -> 23.8; SUN 9.4 -> 14.2Helped
Add class normalization to A-GEM (ablation)Continual zero-shot learning · CUB and SUNmH: CUB 17.3 -> 23.8; SUN 9.6 -> 14.2Helped
Add class normalization to Sequential (ablation)Continual zero-shot learning · CUB and SUNmH: CUB 17.2 -> 23.0; SUN 9.3 -> 14.0Helped
Add class normalization to Multi-task (ablation)Continual zero-shot learning · CUB and SUNmH: CUB 24.3 -> 30.0; SUN 12.5 -> 14.8Helped
Use attributes normalization alone in a deep attribute embedder (ablation)Embedding-based ZSL · Deep attribute embedderrepresentation variance stabilityHurt

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