弱监督论文趋势 2023–2026

主要结论

• 弱监督论文从 2023 年的 34 篇增长到 2026 年的 45 篇，三年间扩大到约 1.3 倍。
• NeurIPS 是发弱监督论文最多的会议，2023–2026 年共 42 篇，占四个会议总量的 31%。
• 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 7 篇。
• 在「以数据为中心 AI」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的合成数据生成是 1.3 倍，弱监督是 1.3 倍。

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 2026Affine-invariant Cubic Newton with Weak Learners
• ICML 2026Weak-to-Strong Generalization via Bregman Bias–Variance Decomposition
• ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
• CVPR 2026GEM-TFL Bridging Weak and Full Supervision for Forgery Localization through
• NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
• ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
• ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
• CVPR 2025Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
• NeurIPS 2024Metrizing Weak Convergence with Maximum Mean Discrepancies
• ICML 2024A General Framework for Learning from Weak Supervision
• ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
• CVPR 2024Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision
• NeurIPS 2023Latent Graph Inference with Limited Supervision
• ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
• ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
• CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
• NeurIPS 2026Clustering with Weak Distance Oracles
• ICML 2026Learning Permutation from Structure Without Supervision
• ICLR 2026Language-guided Open-world Video Anomaly Detection under Weak Supervision
• CVPR 2026Generalizable Video Quality Assessment via Weak-to-Strong Learning

全部弱监督论文

共 30 篇，第 1 / 1 页

1. CVPR 2025Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer
2. CVPR 2025Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
3. CVPR 2025Instance-wise Supervision-level Optimization in Active Learning
4. CVPR 2025Masking meets Supervision: A Strong Learning Alliance
5. ICLR 2025Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
6. ICLR 2025Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
7. ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
8. ICLR 2025Learning from weak labelers as constraints
9. ICLR 2025Provable weak-to-strong generalization via benign overfitting
10. ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
11. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
12. ICLR 2025Weak to Strong Generalization for Large Language Models with Multi-capabilities
13. ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
14. ICML 2025How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
15. ICML 2025Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions
16. NeurIPS 2025Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
17. NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
18. NeurIPS 2025Disentangling Latent Shifts of In-Context Learning with Weak Supervision
19. NeurIPS 2025Escaping Collapse: The Strength of Weak Data for Large Language Model Training
20. NeurIPS 2025From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
21. NeurIPS 2025Learning from Interval Targets
22. NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
23. NeurIPS 2025On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective
24. NeurIPS 2025Revisiting Agnostic Boosting
25. NeurIPS 2025Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
26. NeurIPS 2025Robust Label Proportions Learning
27. NeurIPS 2025SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision
28. NeurIPS 2025Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
29. NeurIPS 2025Weak-to-Strong Generalization under Distribution Shifts
30. NeurIPS 2025Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification

常见问题

2023–2026 年四大会议一共有多少篇弱监督论文？

共 136 篇，按年份分别是 2023 年 34 篇、2024 年 27 篇、2025 年 30 篇、2026 年 45 篇。

NeurIPS 2026 有多少篇弱监督论文？

NeurIPS 2026 有 12 篇弱监督论文，上一届是 15 篇。

ICLR 2026 有多少篇弱监督论文？

ICLR 2026 有 8 篇弱监督论文，上一届是 9 篇。

ICML 2026 有多少篇弱监督论文？

ICML 2026 有 15 篇弱监督论文，上一届是 2 篇。

CVPR 2026 有多少篇弱监督论文？

CVPR 2026 有 10 篇弱监督论文，上一届是 4 篇。

哪个会议的弱监督论文最多？

NeurIPS，2023–2026 年共 42 篇。