Tag: loss landscape

Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...

A rigorous cross-domain benchmark finds no detectable advantage for quantum-inspired optimizers over well-tuned classical methods in neural-network training.

Researchers have developed RecGP, a gradient penalty method that crafts transferable adversarial fake users by steering them toward flat regions ...