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 86 篇，第 2 / 2 页

51. ICML 2025Score Matching with Missing Data
52. ICML 2025Synonymous Variational Inference for Perceptual Image Compression
53. ICML 2025Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
54. ICML 2025Variational Counterfactual Intervention Planning to Achieve Target Outcomes
55. ICML 2025Variational Learning of Fractional Posteriors
56. ICML 2025Variational Phylogenetic Inference with Products over Bipartitions
57. ICML 2025Variational Rectified Flow Matching
58. ICML 2025VCT: Training Consistency Models with Variational Noise Coupling
59. NeurIPS 2025Amortized Variational Transdimensional Inference
60. NeurIPS 2025Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
61. NeurIPS 2025Asymptotically exact variational flows via involutive MCMC kernels
62. NeurIPS 2025Brain-like Variational Inference
63. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
64. NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
65. NeurIPS 2025ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
66. NeurIPS 2025Fisher meets Feynman: score-based variational inference with a product of experts
67. NeurIPS 2025HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
68. NeurIPS 2025Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
69. NeurIPS 2025Large Language Bayes
70. NeurIPS 2025Learning Stochastic Multiscale Models
71. NeurIPS 2025Least squares variational inference
72. NeurIPS 2025LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
73. NeurIPS 2025Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
74. NeurIPS 2025NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
75. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
76. NeurIPS 2025Quantifying Uncertainty in the Presence of Distribution Shifts
77. NeurIPS 2025Solving Inverse Problems with FLAIR
78. NeurIPS 2025Variational Inference with Mixtures of Isotropic Gaussians
79. NeurIPS 2025Variational Learning Finds Flatter Solutions at the Edge of Stability
80. NeurIPS 2025Variational Polya Tree
81. NeurIPS 2025Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
82. NeurIPS 2025Variational Supervised Contrastive Learning
83. NeurIPS 2025Variational Task Vector Composition
84. NeurIPS 2025Variational Uncertainty Decomposition for In-Context Learning
85. NeurIPS 2025VERA: Variational Inference Framework for Jailbreaking Large Language Models
86. NeurIPS 2025VIKING: Deep variational inference with stochastic projections

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。