ATMC, a new adaptive-noise MCMC sampler, is reported to outperform SGD baselines in accuracy, log-likelihood, and calibration on Cifar10 and ImageNet, and is claimed to be the first MCMC method to train a neural network on ImageNet.
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Bayesian Inference for Large Scale Image Classification
ATMC, a new adaptive-noise MCMC sampler, is reported to outperform SGD baselines in accuracy, log-likelihood, and calibration on Cifar10 and ImageNet, and is claimed to be the first MCMC method to train a neural network on ImageNet.