Evidence-Aligned Local Composition of Discrete Experts for Sequence Restoration
Evidence-aligned local composition is introduced, which infers a soft, position-wise weighting over the experts from the marginal evidence of the corrupted observation under a given corruption model, estimating the evidence from the experts'own denoising losses and smoothing the weights across positions.
Mohammad Panahazari, Usman A. Khan, Shuchin Aeron
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