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 35 篇，第 1 / 1 页

  1. CVPR 2024Active Generalized Category Discovery
  2. CVPR 2024Active Prompt Learning in Vision Language Models
  3. CVPR 2024ActiveDC: Distribution Calibration for Active Finetuning
  4. CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
  5. CVPR 2024Neural Visibility Field for Uncertainty-Driven Active Mapping
  6. ICLR 2024Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
  7. ICLR 2024IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  8. ICLR 2024Improved Active Learning via Dependent Leverage Score Sampling
  9. ICLR 2024Neural Active Learning Beyond Bandits
  10. ICLR 2024One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
  11. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
  12. ICML 2024Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
  13. ICML 2024Active Statistical Inference
  14. ICML 2024Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
  15. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
  16. ICML 2024Diffusion Posterior Sampling is Computationally Intractable
  17. ICML 2024Fast Co-Training under Weak Dependence via Stream-Based Active Learning
  18. ICML 2024Faster Sampling via Stochastic Gradient Proximal Sampler
  19. ICML 2024Path-Guided Particle-based Sampling
  20. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
  21. ICML 2024Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
  22. ICML 2024Uncertainty for Active Learning on Graphs
  23. NeurIPS 2024Active Classification with Few Queries under Misspecification
  24. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
  25. NeurIPS 2024Active Set Ordering
  26. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
  27. NeurIPS 2024Boundary Matters: A Bi-Level Active Finetuning Method
  28. NeurIPS 2024Contextual Active Model Selection
  29. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
  30. NeurIPS 2024GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
  31. NeurIPS 2024HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods
  32. NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
  33. NeurIPS 2024Robust Offline Active Learning on Graphs
  34. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
  35. NeurIPS 2024Universal Rates for Active Learning

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。

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