Meta-learning a Convolutional Neural Process to infer neural architecture performance from context-target splits on synthesized tasks improves top-K ranking and achieves state-of-the-art selection on NAS-Bench-101 and NAS-Bench-201 with limited samples.
Nas-bench- 101: Towards reproducible neural architecture search
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From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search
Meta-learning a Convolutional Neural Process to infer neural architecture performance from context-target splits on synthesized tasks improves top-K ranking and achieves state-of-the-art selection on NAS-Bench-101 and NAS-Bench-201 with limited samples.