EdVAE: Mitigating codebook collapse with evidential discrete variational autoencoders-Reference-Cited by-同舟云学术

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EdVAE: Mitigating codebook collapse with evidential discrete variational autoencoders

Published:2024-12 Issue: Volume:156 Page:110792
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Baykal Gulcin,Kandemir Melih^ORCID,Unal Gozde

Funder

TÜBİTAK

Istanbul Technical University National Center for High Performance Computing

DeepMind

Publisher

Elsevier BV

Reference41 articles.

1. Auto-Encoding Variational Bayes;Kingma,2014

2. Generative adversarial nets;Goodfellow;NIPS,2014

3. Denoising diffusion probabilistic models;Ho,2020

4. Beta-VAE: Learning basic visual concepts with a constrained variational framework;Higgins,2017

5. Neural discrete representation learning;Oord,2017

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