JARE - HyperGAN

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JARE

https://arxiv.org/abs/1806.09235

examples
1
{
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    "class": "function:hypergan.train_hooks.jare_train_hook.JARETrainHook",                                       
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    "gamma": "anneal(0.9 multiplier=2.5 metric=jare)"
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}
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1
{
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    "class": "function:hypergan.train_hooks.jare_train_hook.JARETrainHook",                                       
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    "d_gamma": 2.0,
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    "g_gamma": 0
5
}
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https://github.com/weilinie/JARE/blob/master/src/ops.py#L226
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options
attribute
description
type
gamma
loss multiplier.
float
d_gamma
loss multiplier for discriminator.  overrides gamma
float
g_gamma
loss multiplier for generator.  overides gamma
float
Floats are configurable parameters​

Stabilizing Training

Learning Rate Dropout

Last modified 1yr ago

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examples

options