KarenUllrich Tutorial_BayesianCompressionForDL issues - Githubissues

KarenUllrich / Tutorial_BayesianCompressionForDL

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

MIT License

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Anyone encounter loss nan?

#11 kuanzi opened 5 years ago
2
Will you publish the code for the horseshoe prior?

#10 ifed-ucsd opened 5 years ago
0
padding/string/dilation missing in testing the quantized network.

#9 aswin-raghavan closed 5 years ago
2
Missing factor 0.5 in KL-divergence?

#8 jheek closed 5 years ago
3
Is it in need to prune bias?

#7 remicongee closed 5 years ago
1
How to use bayesianConv2d?

#6 RichardMrLu closed 5 years ago
1
Horseshoe Prior

#5 wlj6816 closed 5 years ago
1
Do you have any tricks to choose threshold of every layer?

#4 larenzhang closed 5 years ago
1
KL divergence approx for Linear appears to be wrong

#3 gngdb closed 6 years ago
1
Samples of compression for LeNet

#2 Lyken17 opened 6 years ago
10
Small error in the kl-divergence

#1 manuelhaussmann closed 6 years ago
1