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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 44 | 34 | 22 | 6 | 106 |
| 2024 | 22 | 25 | 26 | 3 | 76 |
| 2025 | 28 | 28 | 28 | 2 | 86 |
| 2026 | 30 | 23 | 35 | 3 | 91 |
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 22 篇，第 1 / 1 页
- NeurIPS 2024Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
- NeurIPS 2024Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
- NeurIPS 2024EigenVI: score-based variational inference with orthogonal function expansions
- NeurIPS 2024Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
- NeurIPS 2024Fearless Stochasticity in Expectation Propagation
- NeurIPS 2024Globally Convergent Variational Inference
- NeurIPS 2024Inference of Neural Dynamics Using Switching Recurrent Neural Networks
- NeurIPS 2024Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
- NeurIPS 2024LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
- NeurIPS 2024Noether's Razor: Learning Conserved Quantities
- NeurIPS 2024On Divergence Measures for Training GFlowNets
- NeurIPS 2024Particle Semi-Implicit Variational Inference
- NeurIPS 2024Poisson Variational Autoencoder
- NeurIPS 2024Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
- NeurIPS 2024Quadratic Quantum Variational Monte Carlo
- NeurIPS 2024Rejection via Learning Density Ratios
- NeurIPS 2024Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
- NeurIPS 2024TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
- NeurIPS 2024Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
- NeurIPS 2024Variational Delayed Policy Optimization
- NeurIPS 2024Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
- NeurIPS 2024VISA: Variational Inference with Sequential Sample-Average Approximations
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"}
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。