CARL improves NAS performance predictors by separating critical from redundant architecture features and training with latent-space interventions.
Progres- sive differentiable architecture search: Bridging the depth gap between search and evaluation
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CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
CARL improves NAS performance predictors by separating critical from redundant architecture features and training with latent-space interventions.