TAS-LoRA attaches a mixture of LoRA experts to a supernet and uses a dynamic router plus group-wise initialization to let different architecture subnets learn distinct features, yielding higher accuracy than prior TAS methods on ImageNet and transfer datasets.
Empirical evaluation of gated recurrent neural networks on sequence modeling.NeurIPSW
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TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts
TAS-LoRA attaches a mixture of LoRA experts to a supernet and uses a dynamic router plus group-wise initialization to let different architecture subnets learn distinct features, yielding higher accuracy than prior TAS methods on ImageNet and transfer datasets.