posterior collapse

MacTok: Robust Continuous Tokenization for Image Generation CVPR 2026 DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation AAAI 2025 S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling ACL 2025 Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders ICLR 2024 Empirical Prior for Text Autoencoders EMNLP 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 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 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 Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023 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 Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient NeurIPS 2022 AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE ACML 2022 Contrastive latent variable models for neural text generation UAI 2022 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 Forget-me-not! Contrastive critics for mitigating posterior collapse UAI 2022 How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022 Improving Variational Autoencoders with Density Gap-based Regularization NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs NeurIPS 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Rethinking Controllable Variational Autoencoders CVPR 2022