yaringal ConcreteDropout issues - Githubissues

yaringal / ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

MIT License

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why upscaling weight by 1/1-p after concrete dropout

#16 heechanlee opened 3 years ago
1
Biases in weight_regularizer?

#15 joemrt opened 3 years ago
0
pytorch version: small error?

#14 hansweytjens opened 3 years ago
0
tensorflow 2 version

#13 joaocaldeira opened 4 years ago
0
value to set for weight_regularizer & dropout_regularizer when dataset size is unknown

#12 nikhil-salodkar opened 4 years ago
2
How to adapt heteroscedastic loss for a classification problem?

#11 manuelblancovalentin opened 5 years ago
1
Confusion about initialization in bigger nets

#10 koenigpeter opened 5 years ago
2
Update PyTorch example

#9 y0ast closed 5 years ago
0
weight_regularizer / dropout_regularizer missing factor 2

#8 scenarios closed 5 years ago
1
Contradiction between eqn. (3) and dropout_regularizer? Weight matrix shape vs input shape.

#7 iafydsttta closed 5 years ago
2
'LSTM' object has no attribute 'kernel'

#6 SaremS opened 6 years ago
0
Pytorch example of concrete dropout to reproduce results

#5 jgamper closed 6 years ago
1
p higher than 0.5 after training...

#4 andrisecker opened 6 years ago
0
dropout_regularizer

#3 XinDongol opened 6 years ago
2
Added a Tensorflow version

#2 joeyearsley closed 6 years ago
1
Inconsistency of your code and paper.

#1 zzd1992 opened 6 years ago
3