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Found 2 papers, 2 papers with code
FlatNAS: optimizing Flatness in Neural Architecture Search for Out-of-Distribution Robustness
FlatNAS achieves a good trade-off between performance, OOD generalization, and the number of parameters, by using only in-distribution data in the NAS exploration.
NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks
To this end, this work presents Neural Architecture Search for Hardware Constrained Early Exit Neural Networks (NACHOS), the first NAS framework for the design of optimal EENNs satisfying constraints on the accuracy and the number of Multiply and Accumulate (MAC) operations performed by the EENNs at inference time.
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