机器学习与模式识别

Auto-encoder(李宏毅ML2019)

2019-07-18  本文已影响0人  jiandanjinxin

1. Vector: Embedding, Latent Representation, Latent Code

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2. Binary Classifier 评估 Encoder

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3. Feature Disentangle 特征拆解

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3.1 声音变声

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3.2 IN & AdaIN

IN = Instance Normalization (remove global information)

AdaIN = Adaptive Instance Normalization (only influence global information)

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4. Discrete Representation

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Binary vector (参数较少,还可以识别没有见到的样本)

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参考文献

Machine Learning (2019,Spring)
Voice Conversion

ISGAN

Non Differentiable:

Categorical Reparameterization with Gumbel-Softmax

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