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0111 · Oct 201819922001200920172026
2 results for GECO

The paper develops a method to dynamically adjust VAE latent space dimensions during training.

problem Under- or overprovisioning of latent space dimensions in VAEs.
method GECO optimizer with L0L_0-ARM gradient estimator to dynamically adjust latent space dimensions.
result The latent space can be pruned effectively without violating reconstruction error constraints.

In spite of remarkable progress in deep latent variable generative modeling, training still remains a challenge due to a combination of optimization and generalization issues. In practice, a combination of heuristic algorithms (such as hand-crafted annealing of KL-terms) is often used in order to achieve the desired re…

2018-10-01abs ↗pdf ↗