BriefGPT.xyz
Jul, 2018
迭代摊销推断
Iterative Amortized Inference
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Joseph Marino, Yisong Yue, Stephan Mandt
TL;DR
我们提出了迭代推理模型,它通过反复编码梯度来学习执行推理优化,从而实现对标准推理模型在多个基准数据集的图像和文本上的超越。
Abstract
inference models
are a key component in scaling
variational inference
to
deep latent variable models
, most notably as encoder networks in
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