变分推断论文趋势 2023–2026

VI 与 ELBO

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 359 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

变分推断论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234434226106
2024222526376
2025282828286
2026302335391

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

全部变分推断论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 359 篇，第 6 / 8 页

  1. NeurIPS 2024Variational Delayed Policy Optimization
  2. NeurIPS 2024Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
  3. NeurIPS 2024VISA: Variational Inference with Sequential Sample-Average Approximations
  4. CVPR 2023Catch Missing Details: Image Reconstruction With Frequency Augmented Variational Autoencoder
  5. CVPR 2023Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
  6. CVPR 2023CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
  7. CVPR 2023Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
  8. CVPR 2023Robust Outlier Rejection for 3D Registration With Variational Bayes
  9. CVPR 2023Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
  10. ICLR 2023A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
  11. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
  12. ICLR 2023Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
  13. ICLR 2023Benchmarking Constraint Inference in Inverse Reinforcement Learning
  14. ICLR 2023Calibrating Transformers via Sparse Gaussian Processes
  15. ICLR 2023Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
  16. ICLR 2023DAVA: Disentangling Adversarial Variational Autoencoder
  17. ICLR 2023Deep Variational Implicit Processes
  18. ICLR 2023Denoising Diffusion Samplers
  19. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  20. ICLR 2023Explicitly Minimizing the Blur Error of Variational Autoencoders
  21. ICLR 2023Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
  22. ICLR 2023Function-space regularized Rényi divergences
  23. ICLR 2023GFlowNets and variational inference
  24. ICLR 2023Gromov-Wasserstein Autoencoders
  25. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
  26. ICLR 2023Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations
  27. ICLR 2023Learning Group Importance using the Differentiable Hypergeometric Distribution
  28. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
  29. ICLR 2023Learning with Logical Constraints but without Shortcut Satisfaction
  30. ICLR 2023Optimal Activation Functions for the Random Features Regression Model
  31. ICLR 2023Particle-based Variational Inference with Preconditioned Functional Gradient Flow
  32. ICLR 2023Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
  33. ICLR 2023Real-time variational method for learning neural trajectory and its dynamics
  34. ICLR 2023SAM as an Optimal Relaxation of Bayes
  35. ICLR 2023Semi-Implicit Variational Inference via Score Matching
  36. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
  37. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
  38. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
  39. ICLR 2023Trading Information between Latents in Hierarchical Variational Autoencoders
  40. ICLR 2023VA-DepthNet: A Variational Approach to Single Image Depth Prediction
  41. ICLR 2023Variational Information Pursuit for Interpretable Predictions
  42. ICLR 2023Variational Latent Branching Model for Off-Policy Evaluation
  43. ICLR 2023Versatile Neural Processes for Learning Implicit Neural Representations
  44. ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
  45. ICML 2023Coupled Variational Autoencoder
  46. ICML 2023Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
  47. ICML 2023Effective and Efficient Structural Inference with Reservoir Computing
  48. ICML 2023Fast Inference from Transformers via Speculative Decoding
  49. ICML 2023Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
  50. ICML 2023Free-Form Variational Inference for Gaussian Process State-Space Models

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查变分推断在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "variational-inference"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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