Implicit Regularization
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Implicit Regularization has 2 facts recorded in Dontopedia across 2 references.
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actsAsActs As(3)
- Norm Preservation
ex:norm-preservation - Rotational Adam W
ex:RotationalAdamW - Ternary Constraint
ex:ternary-constraint
sufficientlyRegularizedSufficiently Regularized(1)
- Loheffn V2
ex:loheffn-v2
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| Predicate | Value | Ref |
|---|---|---|
| Complements Explicit | Manifold Constraint | [1] |
| Rdf:type | Regularization Technique | [2] |
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References (2)
ctx:discord/blah/watt-activation/part-160ctx:discord/blah/watt-activation/160- full textwatt-activation-160text/plain2 KB
doc:agent/watt-activation-160/83f1326e-5f35-47f2-901e-bb1cc61a1eaeShow excerpt
[2026-03-09 16:37] xenonfun: ⏺ With dropout=0.0, the dropout layers are no-ops — they pass through unchanged during both training and inference. So model.train(False) vs model.train(True) makes no difference for our current config. It …
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