cross entropy
PulseAugur coverage of cross entropy — every cluster mentioning cross entropy across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
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Researchers develop Evolutionary Dynamic Loss for distribution-free pretraining
Researchers have developed a new framework called Evolutionary Dynamic Loss (EDL) for pretraining classification losses. EDL learns a transferable loss function using synthetic data, avoiding the need for real samples d…
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Linear-Core Surrogates offer smooth loss functions with linear rates for classification
Researchers have introduced Linear-Core (LC) Surrogates, a novel family of convex loss functions designed to combine the benefits of smooth and piecewise-linear losses in machine learning. These surrogates are different…
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Contrastive learning advances model robustness and transparency in AI
Contrastive learning is a machine learning technique that creates an embedding space where similar data points are grouped together and dissimilar ones are separated. This method can be applied in both supervised and un…