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Jun, 2023
一种自编码器用于学习最近邻
A Self-Encoder for Learning Nearest Neighbors
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Armand Boschin, Thomas Bonald, Marc Jeanmougin
TL;DR
我们提出了自编码器,该神经网络训练用于猜测每个数据样本的身份。尽管它很简单,但它以一种自监督的方式学习到了非常有用的数据表示。
Abstract
We present the
self-encoder
, a
neural network
trained to guess the identity of each data sample. Despite its simplicity, it learns a very useful representation of data, in a self-supervised way. Specifically, the
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