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Alternating Back-Propagation for Generator Network

AAAI 2017 · Optimization › Implicit bias and generalization · approach: In-context learning as gradient descent · 70 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ABP instead of PCACelebA image reconstruction · CelebA test images, d=20reconstruction error: .1038 -> .0810Helped
Use ABP instead of PCACelebA image reconstruction · CelebA test images, d=60reconstruction error: .0820 -> .0617Helped
Use ABP instead of PCACelebA image reconstruction · CelebA test images, d=100reconstruction error: .0722 -> .0549Helped
Use ABP instead of PCACelebA image reconstruction · CelebA test images, d=200reconstruction error: .0621 -> .0523Helped
Train ABP using observed pixels onlyCelebA occluded-image recovery · P.5, P.7, P.9, M20, M30recovery error: .0571; .0662; .0771; .0773; .1035Mixed
Train ABP from random projectionsCelebA compressively sensed-image recovery · CelebA, d=20recovery error: .0795Helped
Train ABP from random projectionsCelebA compressively sensed-image recovery · CelebA, d=60recovery error: .0617Helped
Train ABP from random projectionsCelebA compressively sensed-image recovery · CelebA, d=100recovery error: .0625Helped
Increase latent dimension from d=20 to d=60 (ablation)ABP · CelebA compressively sensed imagesrecovery error: .0795 -> .0617Helped
Increase latent dimension from d=60 to d=100 (ablation)ABP · CelebA compressively sensed imagesrecovery error: .0617 -> .0625Hurt

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