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

共 91 篇,第 2 / 2 页

  1. ICML 2026Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
  2. ICML 2026Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
  3. ICML 2026Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture – Bridging Predictive and Generative Self-Supervised Learning
  4. ICML 2026Variational Adapter for Cross-modal Similarity Representation
  5. ICML 2026Variational Entropic Optimal Transport
  6. ICML 2026Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization
  7. ICML 2026Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
  8. ICML 2026Variational Learning of Disentangled Representations
  9. ICML 2026Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
  10. ICML 2026Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance
  11. ICML 2026VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models
  12. NeurIPS 2026A Reproducible Evaluation Protocol for Quantum Non-Linearity in Variational Quantum Models
  13. NeurIPS 2026Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities
  14. NeurIPS 2026Amortized Structured Stochastic Variational Inference for Gaussian Process Latent Variable Models
  15. NeurIPS 2026Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
  16. NeurIPS 2026Denoising Implicit Variational Inference
  17. NeurIPS 2026Differentiable Systematic Resampling for Variational Sequential Monte Carlo
  18. NeurIPS 2026Dual-Space Preconditioning for Variational Inequalities and Root-Finding Problems
  19. NeurIPS 2026Efficient Variational Inference for Log-Gaussian Cox Processes via Voronoi Tessellation
  20. NeurIPS 2026Even More Guarantees for Variational Inference in the Presence of Symmetries
  21. NeurIPS 2026Faster Rates For Federated Variational Inequalities
  22. NeurIPS 2026Filtered-Trace Online Variational Training for Probabilistic Spiking Neural Networks
  23. NeurIPS 2026Flow-Transformed Implicit Processes for Function-Space Variational Inference
  24. NeurIPS 2026Hierarchical Variational Policies for Reward-Guided Diffusion
  25. NeurIPS 2026Implicit Neural Representations for Variational Problems on Graphons
  26. NeurIPS 2026Learning from Language Feedback via Variational Policy Distillation
  27. NeurIPS 2026LEVDA: Latent Ensemble Variational Data Assimilation via Differentiable Dynamics
  28. NeurIPS 2026Parameter Exploration for RLVR via Variational Learning
  29. NeurIPS 2026Random-Projection Tree Stein Variational Gradient Descent
  30. NeurIPS 2026Score-based Variational Inference via Quantum Maximally Mixed States
  31. NeurIPS 2026Support-Safe Variational Hybrid Filtering for Contact-Mode and Sparse-Law Recovery
  32. NeurIPS 2026Symmetry Guarantees Statistic Recovery in Variational Inference
  33. NeurIPS 2026TailAdapt: Heavy-Tailed Sparse Variational Adaptation for Long-Tailed Class Incremental Learning
  34. NeurIPS 2026Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
  35. NeurIPS 2026Variational Active Flow Matching for Discrete Online Black-Box Optimization
  36. NeurIPS 2026Variational Consequence-Driven Offline Reinforcement Learning
  37. NeurIPS 2026Variational Cover Modification Steganography
  38. NeurIPS 2026Variational Inference via Entropic Transport Descent
  39. NeurIPS 2026Variational Trajectory Optimization of Anisotropic Diffusion Schedules
  40. NeurIPS 2026VESPO: Variational Sequence-level Soft Policy Optimization for Off-Policy LLM Training
  41. NeurIPS 2026xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs

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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