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 86 篇，第 1 / 2 页

1. CVPR 2025Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders
2. CVPR 2025Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder
3. ICLR 2025Accelerating Neural ODEs: A Variational Formulation-based Approach
4. ICLR 2025Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
5. ICLR 2025Connecting Federated ADMM to Bayes
6. ICLR 2025Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
7. ICLR 2025ELBOing Stein: Variational Bayes with Stein Mixture Inference
8. ICLR 2025Flow-based Variational Mutual Information: Fast and Flexible Approximations
9. ICLR 2025Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
10. ICLR 2025Injective flows for star-like manifolds
11. ICLR 2025Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
12. ICLR 2025Nonlinear multiregion neural dynamics with parametric impulse response communication channels
13. ICLR 2025Nonlinear Sequence Embedding by Monotone Variational Inequality
14. ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
15. ICLR 2025Random-Set Neural Networks
16. ICLR 2025Repulsive Latent Score Distillation for Solving Inverse Problems
17. ICLR 2025Residual Deep Gaussian Processes on Manifolds
18. ICLR 2025Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
19. ICLR 2025Scalable Bayesian Learning with posteriors
20. ICLR 2025SoftCVI: Contrastive variational inference with self-generated soft labels
21. ICLR 2025Solving hidden monotone variational inequalities with surrogate losses
22. ICLR 2025Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
23. ICLR 2025Support is All You Need for Certified VAE Training
24. ICLR 2025Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
25. ICLR 2025VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology
26. ICLR 2025Variational Bayesian Pseudo-Coreset
27. ICLR 2025Variational Best-of-N Alignment
28. ICLR 2025Variational Diffusion Posterior Sampling with Midpoint Guidance
29. ICLR 2025Variational Search Distributions
30. ICLR 2025When do GFlowNets learn the right distribution?
31. ICML 2025$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
32. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
33. ICML 2025Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
34. ICML 2025Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders
35. ICML 2025Censor Dependent Variational Inference
36. ICML 2025Continuous Semi-Implicit Models
37. ICML 2025Cross-Modal Alignment via Variational Copula Modelling
38. ICML 2025Deep Bayesian Filter for Bayes-Faithful Data Assimilation
39. ICML 2025Expected Variational Inequalities
40. ICML 2025Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
41. ICML 2025Flexible Tails for Normalizing Flows
42. ICML 2025Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
43. ICML 2025Identifying Causal Direction via Variational Bayesian Compression
44. ICML 2025Layer-wise Quantization for Quantized Optimistic Dual Averaging
45. ICML 2025Learning Likelihood-Free Reference Priors
46. ICML 2025Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference
47. ICML 2025Neural Guided Diffusion Bridges
48. ICML 2025New Bounds for Sparse Variational Gaussian Processes
49. ICML 2025Pareto-frontier Entropy Search with Variational Lower Bound Maximization
50. ICML 2025Revisiting Unbiased Implicit Variational Inference

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。