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.
Deep residual learning for image recognition
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
fields
cs.CV 2years
2026 2roles
background 2polarities
background 2representative citing papers
citing papers explorer
-
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.
- Mitigating Simplicity Bias in OOD Detection through Object Co-occurrence Analysis