conftrace_

posterior collapse

55 papers

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Co-occurring keywords

variational autoencoder (1288) latent variable (541) variational inference (2069) latent representation (418) representation learning (6206) generative model (2892) latent variable model (564) text generation (2913) latent space (854) mutual information (724)

Papers

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025
Empirical Prior for Text Autoencoders EMNLP 2024
Learning Dynamics in Linear VAE: Posterior Collapse Threshold, Superfluous Latent Space Pitfalls, and Speedup with KL Annealing AISTATS 2024
Scale-VAE: Preventing Posterior Collapse in Variational Autoencoder COLING 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE AISTATS 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation EMNLP 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023
Contrastive Deterministic Autoencoders For Language Modeling EMNLP 2023
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NIPS 2022
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NIPS 2022
Rethinking Controllable Variational Autoencoders CVPR 2022
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022
Forget-me-not! Contrastive critics for mitigating posterior collapse UAI 2022
Posterior Collapse of a Linear Latent Variable Model NIPS 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022
Improving Variational Autoencoders with Density Gap-based Regularization NIPS 2022
Contrastive latent variable models for neural text generation UAI 2022
Finetuning Pretrained Transformers into Variational Autoencoders EMNLP 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021