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 359 篇，第 1 / 8 页

1. CVPR 2026BrepVGAE Variational Graph Autoencoder with Unified Latent Representation for B-rep
2. CVPR 2026Variational Graph-based Normal Integration
3. CVPR 2026VENI Variational Encoder for Natural Illumination
4. ICLR 2026Amortising Inference and Meta-Learning Priors in Neural Networks
5. ICLR 2026Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers
6. ICLR 2026Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
7. ICLR 2026Decision Aggregation under Quantal Response
8. ICLR 2026Diffusion Bridge Variational Inference for Deep Gaussian Processes
9. ICLR 2026Discrete Variational Autoencoding via Policy Search
10. ICLR 2026Flow Map Learning via Games
11. ICLR 2026Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
12. ICLR 2026Learning Boltzmann Generators via Constrained Mass Transport
13. ICLR 2026Learning Survival Distributions with Individually Calibrated Asymmetric Laplace Distribution
14. ICLR 2026Multilevel Control Functional
15. ICLR 2026Neural Posterior Estimation with Latent Basis Expansions
16. ICLR 2026On the Mechanisms of Collaborative Learning in VAE Recommenders
17. ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
18. ICLR 2026Pareto Variational Autoencoder
19. ICLR 2026Permutation-Consistent Variational Encoding for Incomplete Multi-View Multi-Label Classification
20. ICLR 2026Proximal Diffusion Neural Sampler
21. ICLR 2026Random-projection ensemble dimension reduction
22. ICLR 2026Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
23. ICLR 2026Score-Based Density Estimation from Pairwise Comparisons
24. ICLR 2026Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
25. ICLR 2026Variational Deep Learning via Implicit Regularization
26. ICLR 2026Variational Inference for Cyclic Learning
27. ICML 2026A hitchhiker's guide to Poisson gradient estimation
28. ICML 2026A Unifying View of Variational Generative Wasserstein Flows
29. ICML 2026Accelerated and Stable Convergence with Anchored Generalized Optimistic Method
30. ICML 2026Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation
31. ICML 2026Beyond Independence: Learning Correlated Views for Variational Incomplete Multi-View Clustering
32. ICML 2026Copula-SVI: Vine-Copula Variational Inference with Stein Refining for Instance-Level Correlation Capturing
33. ICML 2026Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
34. ICML 2026Distribution Matching Variational AutoEncoder
35. ICML 2026Do-Prompt: Causal Interventions Meet Variational Prompt Bottlenecks
36. ICML 2026Dual-stage Contrastive Learning-enhanced Multi-view Variational Clustering
37. ICML 2026Efficient Online Variational Estimation via Monte Carlo Sampling
38. ICML 2026Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
39. ICML 2026Hölder++: Improving Quality-Coherence Trade-off in Multimodal VAEs
40. ICML 2026HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
41. ICML 2026Last-Iterate Convergence of Regularized Gradient Methods for Stochastic Monotone Variational Inequalities
42. ICML 2026MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
43. ICML 2026Monotonic Variational Gaussian Process for Efficient Data Collection
44. ICML 2026Native Spatio-Temporal 4D Variational Autoencoder
45. ICML 2026Particles Don’t Care About Z: Towards Scaling Entropy Estimation of Unnormalized Densities
46. ICML 2026Phase-Type Variational Autoencoders for Heavy-Tailed Data
47. ICML 2026Predictive variational inference: Learn the predictively optimal posterior distribution
48. ICML 2026Rényi Diffusion Models
49. ICML 2026Solving Stochastic Variational Inequalities without the Bounded Variance Assumption
50. ICML 2026Spectral Bridge Variational Inference: Dynamic LoRA via Bures-Wasserstein Gradient Flows

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。