弱监督论文趋势 2023–2026
启发式标注
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 136 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 4 | 10 | 5 | 15 | 34 |
| 2024 | 11 | 3 | 6 | 7 | 27 |
| 2025 | 15 | 9 | 2 | 4 | 30 |
| 2026 | 12 | 8 | 15 | 10 | 45 |
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 34 篇，第 1 / 1 页
- CVPR 2023BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
- CVPR 2023Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision
- CVPR 2023DPF: Learning Dense Prediction Fields With Weak Supervision
- CVPR 2023Flow Supervision for Deformable NeRF
- CVPR 2023Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
- CVPR 2023Generating Part-Aware Editable 3D Shapes Without 3D Supervision
- CVPR 2023Ham2Pose: Animating Sign Language Notation Into Pose Sequences
- CVPR 2023Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
- CVPR 2023Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
- CVPR 2023Learning 3D Scene Priors With 2D Supervision
- CVPR 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
- CVPR 2023Masked Autoencoding Does Not Help Natural Language Supervision at Scale
- CVPR 2023NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
- CVPR 2023Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
- CVPR 2023ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision
- ICLR 2023Amortised Invariance Learning for Contrastive Self-Supervision
- ICLR 2023An Extensible Multi-modal Multi-task Object Dataset with Materials
- ICLR 2023Generative Modeling Helps Weak Supervision (and Vice Versa)
- ICLR 2023Label Propagation with Weak Supervision
- ICLR 2023Learning Hyper Label Model for Programmatic Weak Supervision
- ICLR 2023Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision
- ICLR 2023Neural Optimal Transport
- ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
- ICLR 2023Solving stochastic weak Minty variational inequalities without increasing batch size
- ICLR 2023Video Scene Graph Generation from Single-Frame Weak Supervision
- ICML 2023AdaBoost is not an Optimal Weak to Strong Learner
- ICML 2023Data-Derived Weak Universal Consistency
- ICML 2023Rethinking Weak Supervision in Helping Contrastive Learning
- ICML 2023Robust Speech Recognition via Large-Scale Weak Supervision
- ICML 2023Robust Weak Supervision with Variational Auto-Encoders
- NeurIPS 2023All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
- NeurIPS 2023Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
- NeurIPS 2023Latent Graph Inference with Limited Supervision
- NeurIPS 2023Mitigating Source Bias for Fairer Weak Supervision
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 查弱监督在 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": "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。