| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 2026-04-01 | Add BP support sparsity analysis: threshold sweep + gradient histograms | YurenHao0426 | |
| A1 Synthetic: all methods have >93% support at τ=1e-6 (gradients rarely zero) A2 CIFAR: massive gap — BP 98.4% vs DFA 0.4% vs SB 21% vs CB 3% DFA-trained CIFAR networks have near-zero BP gradients for 99.6% of samples This explains why Gamma is unreliable for CIFAR non-BP methods Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> | |||
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index : faeval.git | |
| Unnamed repository; edit this file 'description' to name the repository. | Ubuntu |
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