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
- 主动学习论文从 2023 年的 58 篇降到 2026 年的 41 篇，热度在回落。
- NeurIPS 是发主动学习论文最多的会议，2023–2026 年共 67 篇，占四个会议总量的 41%。
- 交叉方向里涨得最快的是三维视觉：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 6 篇。
- 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的合成数据生成是 1.3 倍，主动学习是 0.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 29 | 10 | 13 | 6 | 58 |
| 2024 | 13 | 6 | 11 | 5 | 35 |
| 2025 | 9 | 7 | 7 | 8 | 31 |
| 2026 | 16 | 6 | 8 | 11 | 41 |
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 2026Active Corpus Selection for Training Subgraph Retrievers Using OOD Queries
- ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
- ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
- CVPR 2026Active Inference for Micro-Gesture Recognition EFE-Guided Temporal Sampling and Adaptive
- NeurIPS 2025Active Measurement: Efficient Estimation at Scale
- ICML 2025Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
- ICLR 2025Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
- CVPR 2025Active Hyperspectral Imaging Using an Event Camera
- NeurIPS 2024On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
- ICML 2024Active Statistical Inference
- ICLR 2024Improved Active Learning via Dependent Leverage Score Sampling
- CVPR 2024NARUTO: Neural Active Reconstruction from Uncertain Target Observations
- NeurIPS 2023A Competitive Algorithm for Agnostic Active Learning
- ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
- ICLR 2023A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
- CVPR 2023Re-Thinking Federated Active Learning Based on Inter-Class Diversity
- NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
- ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
- ICLR 2026TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation
- CVPR 2026EventHub Data Factory for Generalizable Event-Based Stereo Networks without Active
全部主动学习论文
共 164 篇，第 4 / 4 页
- NeurIPS 2023FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression
- NeurIPS 2023How Re-sampling Helps for Long-Tail Learning?
- NeurIPS 2023How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
- NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
- NeurIPS 2023Likelihood Ratio Confidence Sets for Sequential Decision Making
- NeurIPS 2023Model-Free Active Exploration in Reinforcement Learning
- NeurIPS 2023Model-free Posterior Sampling via Learning Rate Randomization
- NeurIPS 2023Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
- NeurIPS 2023Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
- NeurIPS 2023No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
- NeurIPS 2023Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
- NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
- NeurIPS 2023Refined Mechanism Design for Approximately Structured Priors via Active Regression
- 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"}
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。