Barron
Barron is a researcher who co-authored the paper "A Fix for Softmax and Cross-Entropy" with Gnanapragasam and Tschannen, studying numerical precision issues in cross-entropy computation.
Timeline (last 90 days)
The paper "A Fix for Softmax and Cross-Entropy" by Barron, Gnanapragasam and Tschannen (October 2026) points out that standard cross-entropy computation rounds the gradient of the correct answer to exactly zero when the model is sufficiently confident (a margin of about 5.5 under bf16).
In the deterministic setting without Dropout, the optimal approximation rate for Sobolev space approximation is benchmarked by a parameter complexity of ε^{-d/n}, as studied by Barron, DeVore, and others.
All Facts (2)
The paper "A Fix for Softmax and Cross-Entropy" by Barron, Gnanapragasam and Tschannen (October 2026) points out that standard cross-entropy computation rounds the gradient of the correct answer to exactly zero when the model is sufficiently confident (a margin of about 5.5 under bf16).
50%UnverifiedIn the deterministic setting without Dropout, the optimal approximation rate for Sobolev space approximation is benchmarked by a parameter complexity of ε^{-d/n}, as studied by Barron, DeVore, and others.
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