VaDE-pytorch

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How to train the pi_c

1

Thank you for sharing your code. In the paper, pi_.sum() = 1. I found that vade.pi_.sum() > 1 in this code. Why?

lileicv

Thanks for your pytorch code. I know the pi_c is obtained from GMM . however, when I get a pi_c, the pi_c[0] represents the label 0's prior probability from GMM,...

Mrxiahelong

hyper-parameters

10

Hello, Thanks for sharing this code. I was wondering if you could also share the hyper-parametrization you have used in order to obtain the training curve on the front page:...

MiguelMonteiro

multivariate Gaussian distribution

8

Hi @GuHongyang , Thanks for the reimplementation! they mention in the paper that `As for the generative process in Section 3.1, the multivariate Bernoulli distribution is used for MNIST dataset,...

ThibaultGROUEIX

acc

1

After pre training, what is the prediction accuracy? My acc is only 0.7%. why?

bingdidi

extremely minor change: - using linear_sum_assignment instead of linear_assignment for cluster accuracy (fixed deprecated)

ECEEvanCampbell