BriefGPT.xyz
Jun, 2015
学习处理不确定性的线性化方法
Learning to Linearize Under Uncertainty
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Ross Goroshin, Michael Mathieu, Yann LeCun
TL;DR
本文提出一种新的体系结构和损失函数，以训练生成模型以预测未标记的自然视频序列中的帧，解决了无监督设置下训练这种层次结构的问题，并通过引入非确定性函数的潜在变量来解决预测中固有的不确定性问题。
Abstract
training
deep feature hierarchies
to solve supervised learning tasks has achieved state of the art performance on many problems in computer vision. However, a principled way in which to train such hierarchies in
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