生成流论文趋势 2023–2026

主要结论

• 生成流论文从 2023 年的 73 篇增长到 2026 年的 139 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发生成流论文最多的会议，2023–2026 年共 130 篇，占四个会议总量的 30%。
• 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「概率与贝叶斯」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的高斯过程是 2.2 倍，生成流是 1.9 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 2026Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows
• ICML 2026Learning-to-Optimize via Deep Unfolded Flows
• ICLR 2026Frozen Priors, Fluid Forecasts: Prequential Uncertainty for Low-Data Deployment with Pretrained Generative Models
• CVPR 2026AnchorFlow Training-Free 3D Editing via Latent Anchor-Aligned Flows
• NeurIPS 2025Amortized Sampling with Transferable Normalizing Flows
• ICML 2025Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
• ICLR 2025Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks
• CVPR 2025DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
• NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
• ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
• ICLR 2024Fast and unified path gradient estimators for normalizing flows
• CVPR 2024Distributionally Generative Augmentation for Fair Facial Attribute Classification
• NeurIPS 2023Canonical normalizing flows for manifold learning
• ICML 2023MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows
• ICLR 2023AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
• CVPR 2023Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• NeurIPS 2026From Baselines to Transport Geodesics: Axiomatic Attribution via Optimal Generative Flows
• ICML 2026Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy
• ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
• CVPR 2026BUSSARD Normalizing Flows for Bijective Universal Scene-Specific Anomalous Relationship Detection

全部生成流论文

共 27 篇，第 1 / 1 页

1. ICML 2024A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
2. ICML 2024A Computational Framework for Solving Wasserstein Lagrangian Flows
3. ICML 2024A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
4. ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
5. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
6. ICML 2024COPAL: Continual Pruning in Large Language Generative Models
7. ICML 2024DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
8. ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
9. ICML 2024Generative Active Learning for Long-tailed Instance Segmentation
10. ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
11. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
12. ICML 2024Generative Marginalization Models
13. ICML 2024Genie: Generative Interactive Environments
14. ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
15. ICML 2024HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
16. ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
17. ICML 2024Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
18. ICML 2024Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
19. ICML 2024Masked Face Recognition with Generative-to-Discriminative Representations
20. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
21. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
22. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
23. ICML 2024Reflected Flow Matching
24. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
25. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
26. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
27. ICML 2024Timer: Generative Pre-trained Transformers Are Large Time Series Models

常见问题

2023–2026 年四大会议一共有多少篇生成流论文？

共 429 篇，按年份分别是 2023 年 73 篇、2024 年 98 篇、2025 年 119 篇、2026 年 139 篇。

NeurIPS 2026 有多少篇生成流论文？

NeurIPS 2026 有 46 篇生成流论文，上一届是 37 篇。

ICLR 2026 有多少篇生成流论文？

ICLR 2026 有 37 篇生成流论文，上一届是 35 篇。

ICML 2026 有多少篇生成流论文？

ICML 2026 有 32 篇生成流论文，上一届是 25 篇。

CVPR 2026 有多少篇生成流论文？

CVPR 2026 有 24 篇生成流论文，上一届是 22 篇。

哪个会议的生成流论文最多？

NeurIPS，2023–2026 年共 130 篇。