Across 3,938 CIFAR-10 runs, CosineAnnealingWarmRestarts leads on mean accuracy while scheduler preference is strongly architecture-dependent; CyclicLR helps some mobile/conv nets but not overall.
NNGPT: Rethinking AutoML with large language models
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Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures
Across 3,938 CIFAR-10 runs, CosineAnnealingWarmRestarts leads on mean accuracy while scheduler preference is strongly architecture-dependent; CyclicLR helps some mobile/conv nets but not overall.