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 29 篇，第 1 / 1 页

  1. NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
  2. NeurIPS 2023Active Bipartite Ranking
  3. NeurIPS 2023Active Learning-Based Species Range Estimation
  4. NeurIPS 2023Active Negative Loss Functions for Learning with Noisy Labels
  5. NeurIPS 2023Active Vision Reinforcement Learning under Limited Visual Observability
  6. NeurIPS 2023Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
  7. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
  8. NeurIPS 2023Agnostic Multi-Group Active Learning
  9. NeurIPS 2023Algorithm Selection for Deep Active Learning with Imbalanced Datasets
  10. NeurIPS 2023Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
  11. NeurIPS 2023Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
  12. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
  13. NeurIPS 2023Cross-modal Active Complementary Learning with Self-refining Correspondence
  14. NeurIPS 2023DELTA: Diverse Client Sampling for Fasting Federated Learning
  15. NeurIPS 2023Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
  16. NeurIPS 2023FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
  17. NeurIPS 2023How Re-sampling Helps for Long-Tail Learning?
  18. NeurIPS 2023How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
  19. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
  20. NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
  21. NeurIPS 2023Model-Free Active Exploration in Reinforcement Learning
  22. NeurIPS 2023Model-free Posterior Sampling via Learning Rate Randomization
  23. NeurIPS 2023Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
  24. NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
  25. NeurIPS 2023No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
  26. NeurIPS 2023Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
  27. NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
  28. NeurIPS 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression
  29. NeurIPS 2023Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure

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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