SCBD uses supervised contrastive losses to disentangle target-correlated features from environment-correlated features, improving out-of-distribution accuracy on Camelyon17 and batch correction on a 26M-cell optical pooled screen.
V ARIATIONAL AUTOENCODERS For our experiments with V AE-based approaches, we use the same experimental setup used in Wang et al
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Supervised Contrastive Block Disentanglement
SCBD uses supervised contrastive losses to disentangle target-correlated features from environment-correlated features, improving out-of-distribution accuracy on Camelyon17 and batch correction on a 26M-cell optical pooled screen.