#vae

  1. A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
  2. A Probabilistic U-Net for Segmentation of Ambiguous Images
  3. Auto-Encoding Variational Bayes
  4. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
  5. Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
  6. Disentangling by Factorising
  7. ELBO surgery: yet another way to carve up the variational evidence lower bound
  8. Finetuning Pretrained Transformers into Variational Autoencoders
  9. Generating Sentences from a Continuous Space
  10. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  11. InfoVAE: Balancing Learning and Inference in Variational Autoencoders
  12. Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
  13. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
  14. Learning Structured Output Representation using Deep Conditional Generative Models
  15. Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
  16. LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces
  17. Neural Discrete Representation Learning
  18. OPTIMUS: Organizing Sentences via Pre-trained Modeling of a Latent Space
  19. Understanding disentangling in beta-VAE
  20. Variational Autoencoders and Nonlinear ICA: A Unifying Framework
Built with LogoFlowershow