Training curves show why inductive bias helps motion estimation but not clutch signal recovery
mike64_t · x · 2026-10-26
Sharing validation loss curves comparing shared-motion-v4-scratch, rollmotionnormscratch, and twilight-plasma-12, the author demonstrates that loss curves are interpretable in context: maecameramotionup/val improves with shared-motion-v4's inductive bias because motion estimation is a shallow function of inputs, while maeclutch/val does not, since recovering the clutch signal requires back-correlating activation from car oversteer — a fundamentally different operation. Whether an inductive bias helps depends on the nature of the computation the network must perform.
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