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Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling

NeurIPS 2018 · Image generation › Autoregressive and latent generation · approach: Latent diffusion with learned tokenizers · 29 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace original blocks with proposed nonlocal-stage blocks at the same location, using 2 blocksPreResNet-20 · CIFAR-10 validationerror (%): 7.83 -> 7.74Helped
replace original blocks with proposed nonlocal-stage blocks at the same location, using 3 blocksPreResNet-20 · CIFAR-10 validationerror (%): 8.28 -> 7.62Helped
replace original blocks with proposed nonlocal-stage blocks at the same location, using 4 blocksPreResNet-20 · CIFAR-10 validationerror (%): 15.02 -> 7.37Helped
replace original blocks with proposed blocks, using 3 blocks at different network placesPreResNet-20 · CIFAR-10 validation, different placeserror (%): 8.07 -> 7.33Helped
replace original blocks with proposed nonlocal-stage blocks, using 2 blocksPreResNet-56 · CIFAR-100 validationerror (%): 26.13 -> 26.04Helped
replace original blocks with proposed nonlocal-stage blocks, using 3 blocksPreResNet-56 · CIFAR-100 validationerror (%): 26.26 -> 25.57Helped
replace original blocks with proposed nonlocal-stage blocks, using 4 blocksPreResNet-56 · CIFAR-100 validationerror (%): 34.89 -> 25.43Helped
increase proposed nonlocal blocks from 4 to 5 (ablation)PreResNet-20 · CIFAR-10 validationerror (%): 7.37 -> 7.29Helped
increase proposed nonlocal blocks from 5 to 6 (ablation)PreResNet-20 · CIFAR-10 validationerror (%): 7.29 -> 7.55Hurt
increase proposed nonlocal blocks from 4 to 5 (ablation)PreResNet-56 · CIFAR-100 validationerror (%): 25.43 -> 25.29Helped
increase proposed nonlocal blocks from 5 to 6 (ablation)PreResNet-56 · CIFAR-100 validationerror (%): 25.29 -> 25.49Hurt
add 4 original nonlocal blocks instead of 3 (ablation)PreResNet-20 · CIFAR-10 validationerror (%): 8.28 -> 15.02Hurt

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