变分推断论文趋势 2023–2026

主要结论

• 变分推断论文从 2023 年的 106 篇降到 2026 年的 91 篇，热度在回落。
• NeurIPS 是发变分推断论文最多的会议，2023–2026 年共 124 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是采样方法：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 6 篇。
• 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的高斯过程是 2.2 倍，变分推断是 0.9 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
• ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
• ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
• CVPR 2026BrepVGAE Variational Graph Autoencoder with Unified Latent Representation for B-rep
• NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
• ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
• ICLR 2025Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
• CVPR 2025Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
• NeurIPS 2024Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
• ICML 2024Amortized Variational Deep Kernel Learning
• ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
• CVPR 2024WorDepth: Variational Language Prior for Monocular Depth Estimation
• NeurIPS 2023[Re] Variational Neural Cellular Automata
• ICML 2023Coupled Variational Autoencoder
• ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
• CVPR 2023Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
• NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
• ICML 2026Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
• ICLR 2026Pareto Variational Autoencoder
• CVPR 2026Variational Graph-based Normal Integration

全部变分推断论文

共 30 篇，第 1 / 1 页

1. NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
2. NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
3. NeurIPS 2026Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
4. NeurIPS 2026Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
5. NeurIPS 2026Denoising Implicit Variational Inference
6. NeurIPS 2026Differentiable Systematic Resampling for Variational Sequential Monte Carlo
7. NeurIPS 2026Dual-Space Preconditioning for Variational Inequalities and Root-Finding Problems
8. NeurIPS 2026Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation
9. NeurIPS 2026Even More Guarantees for Variational Inference in the Presence of Symmetries
10. NeurIPS 2026Faster Rates For Federated Variational Inequalities
11. NeurIPS 2026Filtered-Trace Online Variational Training for Probabilistic Spiking Neural Networks
12. NeurIPS 2026Flow-Transformed Implicit Processes for Function-Space Variational Inference
13. NeurIPS 2026Hierarchical Variational Policies for Reward-Guided Diffusion
14. NeurIPS 2026Implicit Neural Representations for Variational Problems on Graphons
15. NeurIPS 2026Learning from Language Feedback via Variational Policy Distillation
16. NeurIPS 2026LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
17. NeurIPS 2026Parameter Exploration for RLVR via Variational Learning
18. NeurIPS 2026Random-Projection Tree Stein Variational Gradient Descent
19. NeurIPS 2026Score-based Variational Inference via Quantum Maximally Mixed States
20. NeurIPS 2026Support-Safe Variational Hybrid Filtering for Contact-Mode and Sparse-Law Recovery
21. NeurIPS 2026Symmetry Guarantees Statistic Recovery in Variational Inference
22. NeurIPS 2026TailAdapt: Heavy-Tailed Sparse Variational Adaptation for Long-Tailed Class Incremental Learning
23. NeurIPS 2026Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
24. NeurIPS 2026Variational Active Flow Matching for Discrete Online Black-Box Optimization
25. NeurIPS 2026Variational Consequence-Driven Offline Reinforcement Learning
26. NeurIPS 2026Variational Cover Modification Steganography
27. NeurIPS 2026Variational Inference via Entropic Transport Descent
28. NeurIPS 2026Variational Trajectory Optimization of Anisotropic Diffusion Schedules
29. NeurIPS 2026VESPO: Variational Sequence-level Soft Policy Optimization for Off-Policy LLM Training
30. NeurIPS 2026xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs

常见问题

2023–2026 年四大会议一共有多少篇变分推断论文？

共 359 篇，按年份分别是 2023 年 106 篇、2024 年 76 篇、2025 年 86 篇、2026 年 91 篇。

NeurIPS 2026 有多少篇变分推断论文？

NeurIPS 2026 有 30 篇变分推断论文，上一届是 28 篇。

ICLR 2026 有多少篇变分推断论文？

ICLR 2026 有 23 篇变分推断论文，上一届是 28 篇。

ICML 2026 有多少篇变分推断论文？

ICML 2026 有 35 篇变分推断论文，上一届是 28 篇。

CVPR 2026 有多少篇变分推断论文？

CVPR 2026 有 3 篇变分推断论文，上一届是 2 篇。

哪个会议的变分推断论文最多？

NeurIPS，2023–2026 年共 124 篇。