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 34 篇，第 1 / 1 页

1. ICLR 2023A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
2. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
3. ICLR 2023Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
4. ICLR 2023Benchmarking Constraint Inference in Inverse Reinforcement Learning
5. ICLR 2023Calibrating Transformers via Sparse Gaussian Processes
6. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
7. ICLR 2023DAVA: Disentangling Adversarial Variational Autoencoder
8. ICLR 2023Deep Variational Implicit Processes
9. ICLR 2023Denoising Diffusion Samplers
10. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
11. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
12. ICLR 2023Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
13. ICLR 2023Function-space regularized Rényi divergences
14. ICLR 2023GFlowNets and variational inference
15. ICLR 2023Gromov-Wasserstein Autoencoders
16. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
17. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
18. ICLR 2023Learning Group Importance using the Differentiable Hypergeometric Distribution
19. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
20. ICLR 2023Learning with Logical Constraints but without Shortcut Satisfaction
21. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
22. ICLR 2023Particle-based Variational Inference with Preconditioned Functional Gradient Flow
23. ICLR 2023Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
24. ICLR 2023Real-time variational method for learning neural trajectory and its dynamics
25. ICLR 2023SAM as an Optimal Relaxation of Bayes
26. ICLR 2023Semi-Implicit Variational Inference via Score Matching
27. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
28. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
29. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
30. ICLR 2023Trading Information between Latents in Hierarchical Variational Autoencoders
31. ICLR 2023VA-DepthNet: A Variational Approach to Single Image Depth Prediction
32. ICLR 2023Variational Information Pursuit for Interpretable Predictions
33. ICLR 2023Variational Latent Branching Model for Off-Policy Evaluation
34. ICLR 2023Versatile Neural Processes for Learning Implicit Neural Representations

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。