生成流论文趋势 2023–2026

Normalizing flows

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 429 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

生成流论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231817261273
20242918272498
202537352522119
202646373224139

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

全部生成流论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 98 篇，第 2 / 2 页

  1. ICML 2024Generative Active Learning for Long-tailed Instance Segmentation
  2. ICML 2024Generative Conditional Distributions by Neural (Entropic) Optimal Transport
  3. ICML 2024Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
  4. ICML 2024Generative Marginalization Models
  5. ICML 2024Genie: Generative Interactive Environments
  6. ICML 2024GiLOT: Interpreting Generative Language Models via Optimal Transport
  7. ICML 2024HexGen: Generative Inference of Large Language Model over Heterogeneous Environment
  8. ICML 2024How to Trace Latent Generative Model Generated Images without Artificial Watermark?
  9. ICML 2024Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
  10. ICML 2024Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
  11. ICML 2024Masked Face Recognition with Generative-to-Discriminative Representations
  12. ICML 2024Nearest Neighbour Score Estimators for Diffusion Generative Models
  13. ICML 2024ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models
  14. ICML 2024On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows
  15. ICML 2024Reflected Flow Matching
  16. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
  17. ICML 2024Single-Model Attribution of Generative Models Through Final-Layer Inversion
  18. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
  19. ICML 2024Timer: Generative Pre-trained Transformers Are Large Time Series Models
  20. NeurIPS 2024A Generative Model of Symmetry Transformations
  21. NeurIPS 2024ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models
  22. NeurIPS 2024AirSketch: Generative Motion to Sketch
  23. NeurIPS 2024ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction
  24. NeurIPS 2024Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
  25. NeurIPS 2024CRAG - Comprehensive RAG Benchmark
  26. NeurIPS 2024Dynamic Conditional Optimal Transport through Simulation-Free Flows
  27. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
  28. NeurIPS 2024Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
  29. NeurIPS 2024FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification
  30. NeurIPS 2024Fine-grained Control of Generative Data Augmentation in IoT Sensing
  31. NeurIPS 2024Functional Gradient Flows for Constrained Sampling
  32. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
  33. NeurIPS 2024Generative Forests
  34. NeurIPS 2024Generative Fractional Diffusion Models
  35. NeurIPS 2024Hamiltonian Score Matching and Generative Flows
  36. NeurIPS 2024Improving the Training of Rectified Flows
  37. NeurIPS 2024Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models
  38. NeurIPS 2024Learning diffusion at lightspeed
  39. NeurIPS 2024Learning Diffusion Priors from Observations by Expectation Maximization
  40. NeurIPS 2024Learning Distributions on Manifolds with Free-Form Flows
  41. NeurIPS 2024Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
  42. NeurIPS 2024Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
  43. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
  44. NeurIPS 2024Navigating Chemical Space with Latent Flows
  45. NeurIPS 2024On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution
  46. NeurIPS 2024Optimal Flow Matching: Learning Straight Trajectories in Just One Step
  47. NeurIPS 2024Preferential Normalizing Flows
  48. NeurIPS 2024Transferable Boltzmann Generators

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 查生成流在 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": "generative-flows"}

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。

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