New Training Method Steers Neural Networks Toward Flat Minima and Away from Bad Labels
Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...
Researchers have developed SLAW, a training framework that adapts label smoothing to the sharpness of the loss landscape and reweights ...
Researchers have built an explainable, fairness-audited early warning system that predicts online student dropout using only the first weeks of ...
UC San Diego researchers have developed a differential calibration method that cross-checks whether a tiny rotation in the cosmic microwave ...
Researchers at the University of Montpellier have built Kosmiko, a low-cost platform that converts Sony IMX477 camera sensors and a ...
A new regulatory-aligned evaluation framework shows that the highest-scoring machine learning credit models can collapse under economic stress while a ...
A new Nature Machine Intelligence study provides causal evidence that language models actively use internal confidence signals to shape their ...
A new study of 354,565 freight shipments shows that prompted GPT-4o ranks cancellation risk as well as boosted trees yet ...
A Nature Machine Intelligence perspective argues that large language models can serve as optimizers for experimental discovery, but only if ...
A benchmark analysis tested widely used anthropometric fat mass prediction models against previously unseen data from 8,228 adults across 30 ...
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© 2025 Scienmag - Science Magazine