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 4 / 8 页

  1. NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
  2. NeurIPS 2025Asymptotically exact variational flows via involutive MCMC kernels
  3. NeurIPS 2025Brain-like Variational Inference
  4. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
  5. NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
  6. NeurIPS 2025ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
  7. NeurIPS 2025Fisher meets Feynman: score-based variational inference with a product of experts
  8. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
  9. NeurIPS 2025Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
  10. NeurIPS 2025Large Language Bayes
  11. NeurIPS 2025Learning Stochastic Multiscale Models
  12. NeurIPS 2025Least squares variational inference
  13. NeurIPS 2025LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
  14. NeurIPS 2025Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
  15. NeurIPS 2025NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
  16. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
  17. NeurIPS 2025Quantifying Uncertainty in the Presence of Distribution Shifts
  18. NeurIPS 2025Solving Inverse Problems with FLAIR
  19. NeurIPS 2025Variational Inference with Mixtures of Isotropic Gaussians
  20. NeurIPS 2025Variational Learning Finds Flatter Solutions at the Edge of Stability
  21. NeurIPS 2025Variational Polya Tree
  22. NeurIPS 2025Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
  23. NeurIPS 2025Variational Supervised Contrastive Learning
  24. NeurIPS 2025Variational Task Vector Composition
  25. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
  26. NeurIPS 2025VERA: Variational Inference Framework for Jailbreaking Large Language Models
  27. NeurIPS 2025VIKING: Deep variational inference with stochastic projections
  28. CVPR 2024Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
  29. CVPR 2024SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
  30. CVPR 2024WorDepth: Variational Language Prior for Monocular Depth Estimation
  31. ICLR 2024$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
  32. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
  33. ICLR 2024A Variational Perspective on Solving Inverse Problems with Diffusion Models
  34. ICLR 2024Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
  35. ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
  36. ICLR 2024Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
  37. ICLR 2024Conditional Variational Diffusion Models
  38. ICLR 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
  39. ICLR 2024DiffEnc: Variational Diffusion with a Learned Encoder
  40. ICLR 2024Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
  41. ICLR 2024Fast Ensembling with Diffusion Schrödinger Bridge
  42. ICLR 2024Fiber Monte Carlo
  43. ICLR 2024Forward $\chi^2$ Divergence Based Variational Importance Sampling
  44. ICLR 2024Input-gradient space particle inference for neural network ensembles
  45. ICLR 2024Kernelised Normalising Flows
  46. ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
  47. ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
  48. ICLR 2024R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
  49. ICLR 2024Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
  50. ICLR 2024Stochastic Gradient Descent for Gaussian Processes Done Right

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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