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 15 篇，第 1 / 1 页

1. CVPR 2023BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
2. CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
3. CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
4. CVPR 2023Flow Supervision for Deformable NeRF
5. CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
6. CVPR 2023Generating Part-Aware Editable 3D Shapes Without 3D Supervision
7. CVPR 2023Ham2Pose: Animating Sign Language Notation Into Pose Sequences
8. CVPR 2023Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
9. CVPR 2023Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
10. CVPR 2023Learning 3D Scene Priors With 2D Supervision
11. CVPR 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
12. CVPR 2023Masked Autoencoding Does Not Help Natural Language Supervision at Scale
13. CVPR 2023NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
14. CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
15. CVPR 2023ShadowNeuS: Neural SDF Reconstruction by Shadow Ray 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。