Research map / Probabilistic and scientific modeling / Variational and generative sampling
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process (ICML 2023 · similarity 0.90)
- Bayesian Deep Embedding Topic Meta-Learner (ICML 2022 · similarity 0.88)
- Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation (AAAI 2024 · similarity 0.86)
- Topic Modeling as Multi-Objective Contrastive Optimization (ICLR 2024 · similarity 0.84)
- Continuous Latent Diffusion Language Model (NeurIPS 2026 · similarity 0.84)
- On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.