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Diffstat (limited to 'BASELINES.md')
| -rw-r--r-- | BASELINES.md | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/BASELINES.md b/BASELINES.md index 9c3a320..de7dfe8 100644 --- a/BASELINES.md +++ b/BASELINES.md @@ -15,6 +15,11 @@ weak in-house reimplementations from defining the state of the art. The audited implementations and completed results are in `RESULTS.md`: - BP, FA, and DFA share the SDIL forward architecture and data order; +- convolutional hierarchical FA (`hfa`) mirrors the ResNet residual DAG with + independent random 3x3 feedback tensors, exact parameter-free shortcut + adjoints, and local ReLU/BatchNorm Jacobians; it never copies or reads a + downstream forward convolution and is the mandatory baseline for any learned + hierarchical extension; - direct node perturbation uses a causal target on every hidden update and no learned vectorizer; - the no-traffic, `P=0` SDIL backbone is learned direct feedback by node |