主动学习论文趋势 2023–2026

采样策略

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 165 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

主动学习论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023291013658
202413611535
2025977831
202616681141

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

全部主动学习论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 39 篇，第 1 / 1 页

  1. ICML 2026Active Curriculum Refinement for Reinforcement Learning
  2. ICML 2026Active Learning with Low-Rank Structure for Data Selection
  3. ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
  4. ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
  5. ICML 2026BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
  6. ICML 2026Distributional Active Inference
  7. ICML 2026Learning $U$-Statistics with Active Inference
  8. ICML 2026MA$^3$S: Model-Agnostic Active Annotation Strategy for Crowdsourcing
  9. ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
  10. ICML 2025Active Treatment Effect Estimation via Limited Samples
  11. ICML 2025AutoAL: Automated Active Learning with Differentiable Query Strategy Search
  12. ICML 2025Efficient Heterogeneity-Aware Federated Active Data Selection
  13. ICML 2025Importance Sampling for Nonlinear Models
  14. ICML 2025Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation
  15. ICML 2025On the Benefits of Active Data Collection in Operator Learning
  16. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
  17. ICML 2024Active Statistical Inference
  18. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
  19. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
  20. ICML 2024Diffusion Posterior Sampling is Computationally Intractable
  21. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
  22. ICML 2024Faster Sampling via Stochastic Gradient Proximal Sampler
  23. ICML 2024Path-Guided Particle-based Sampling
  24. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
  25. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
  26. ICML 2024Uncertainty for Active Learning on Graphs
  27. ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
  28. ICML 2023Active Learning based Structural Inference
  29. ICML 2023Active Policy Improvement from Multiple Black-box Oracles
  30. ICML 2023Anchor Sampling for Federated Learning with Partial Client Participation
  31. ICML 2023Gibbsian Polar Slice Sampling
  32. ICML 2023LSDS++ : Dual Sampling for Accelerated k-means++
  33. ICML 2023Margin-based sampling in high dimensions: When being active is less efficient than staying passive
  34. ICML 2023NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation
  35. ICML 2023On Sampling with Approximate Transport Maps
  36. ICML 2023SAAL: Sharpness-Aware Active Learning
  37. ICML 2023Streaming Active Learning with Deep Neural Networks
  38. ICML 2023Towards Controlled Data Augmentations for Active Learning
  39. ICML 2023Training-Free Neural Active Learning with Initialization-Robustness Guarantees

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 查主动学习在 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": "active-learning"}

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主动学习论文？
共 165 篇，按年份分别是 2023 年 58 篇、2024 年 35 篇、2025 年 31 篇、2026 年 41 篇。
NeurIPS 2026 有多少篇主动学习论文？
NeurIPS 2026 有 16 篇主动学习论文，上一届是 9 篇。
ICLR 2026 有多少篇主动学习论文？
ICLR 2026 有 6 篇主动学习论文，上一届是 7 篇。
ICML 2026 有多少篇主动学习论文？
ICML 2026 有 8 篇主动学习论文，上一届是 7 篇。
CVPR 2026 有多少篇主动学习论文？
CVPR 2026 有 11 篇主动学习论文，上一届是 8 篇。
哪个会议的主动学习论文最多？
NeurIPS，2023–2026 年共 67 篇。

「以数据为中心 AI」下的其他主题