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. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
2. ICLR 2026Does Weak-to-strong Generalization Happen under Spurious Correlations?
3. ICLR 2026Language-guided Open-world Video Anomaly Detection under Weak Supervision
4. ICLR 2026Metric $k$-clustering using only Weak Comparison Oracles
5. ICLR 2026Scalable Oversight via Partitioned Human Supervision
6. ICLR 2026Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction
7. ICLR 2026Weak-to-Strong Generalization with Failure Trajectories
8. ICLR 2026When Weak LLMs Speak with Confidence, Preference Alignment Gets Stronger
9. ICLR 2025Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
10. ICLR 2025Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
11. ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
12. ICLR 2025Learning from weak labelers as constraints
13. ICLR 2025Provable weak-to-strong generalization via benign overfitting
14. ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
15. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
16. ICLR 2025Weak to Strong Generalization for Large Language Models with Multi-capabilities
17. ICLR 2025Your Weak LLM is Secretly a Strong Teacher for Alignment
18. ICLR 2024Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
19. ICLR 2024Towards a statistical theory of data selection under weak supervision
20. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
21. ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
22. ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
23. ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
24. ICLR 2023Label Propagation with Weak Supervision
25. ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
26. ICLR 2023Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
27. ICLR 2023Neural Optimal Transport
28. ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
29. ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
30. ICLR 2023Video Scene Graph Generation from Single-Frame Weak Supervision

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。