Authors structure architectural design knowledge with LLMs to create an open-ended NAS space and introduce FairNAD, which finds architectures improving 0.84, 2.17, and 2.35 points over SOTA on CIFAR-10, CIFAR-100, and ImageNet16-120.
For example: element-wise addition, concatenation along channels (DenseNet and Inception), multi-scale feature fusion (U-Net, FPN) 31
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Structuring Open-Ended NAS: Semi-Automated Design Knowledge Structuring with LLMs for Efficient Neural Architecture Search
Authors structure architectural design knowledge with LLMs to create an open-ended NAS space and introduce FairNAD, which finds architectures improving 0.84, 2.17, and 2.35 points over SOTA on CIFAR-10, CIFAR-100, and ImageNet16-120.