因果发现论文趋势 2023–2026

主要结论

• 因果发现论文从 2023 年的 59 篇增长到 2026 年的 139 篇，三年间扩大到约 2.4 倍。
• NeurIPS 是发因果发现论文最多的会议，2023–2026 年共 150 篇，占四个会议总量的 40%。
• 交叉方向里涨得最快的是通用机器学习 · unsupervised and semisupervised learning：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 10 篇。
• 在「因果与公平」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的偏见缓解是 1.5 倍，因果发现是 2.4 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 2026A Characterization of Latent Variable Causal Models Consistent with Observational Data
• ICML 2026A Recursive Decomposition Framework for Causal Structure Learning in the Presence of Latent Variables
• ICLR 2026Bures Generalized Category Discovery
• CVPR 2026Learning by Analogy A Causal Framework for Compositional Generalization
• NeurIPS 2025Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
• ICML 2025Bayesian Active Learning for Bivariate Causal Discovery
• ICLR 2025A Conditional Independence Test in the Presence of Discretization
• CVPR 2025Hyperbolic Category Discovery
• NeurIPS 2024Causal Bandits for Linear Structural Equation Models
• ICML 2024Adaptive Online Experimental Design for Causal Discovery
• ICLR 2024A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
• CVPR 2024Contrastive Mean-Shift Learning for Generalized Category Discovery
• NeurIPS 2023A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
• ICML 2023Active causal structure learning with advice
• ICLR 2023Boosting Causal Discovery via Adaptive Sample Reweighting
• CVPR 2023Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
• NeurIPS 2026Act, Validate, Adapt: Closing the Causal Discovery-Control Loop
• ICML 2026Causal Discovery for Irregularly Time Series with Consistency Guarantees
• ICLR 2026Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach
• CVPR 2026PlanaReLoc Camera Relocalization in 3D Planar Primitives via Region-Based Structure

全部因果发现论文

共 21 篇，第 1 / 1 页

1. CVPR 2026A Polynomial Chaos Framework for Causal Discovery in Nonlinear Uncertain
2. CVPR 2026CHAL Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target
3. CVPR 2026GeneVAR Causal MeanFlow for Autoregressive Gene-to-WSI Tile Synthesis
4. CVPR 2026Learning by Analogy A Causal Framework for Compositional Generalization
5. CVPR 2026PlanaReLoc Camera Relocalization in 3D Planar Primitives via Region-Based Structure
6. CVPR 2026Seeing Through the Shift Causality-Inspired Robust Generalized Category Discovery
7. CVPR 2026Stake the Points Structure-Faithful Instance Unlearning
8. CVPR 2025AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
9. CVPR 2025GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven
10. CVPR 2025Hyperbolic Category Discovery
11. CVPR 2025Less Attention is More: Prompt Transformer for Generalized Category Discovery
12. CVPR 2025MeshArt: Generating Articulated Meshes with Structure-Guided Transformers
13. CVPR 2025Structure from Collision
14. CVPR 2025Structure-from-Motion with a Non-Parametric Camera Model
15. CVPR 2024Contrastive Mean-Shift Learning for Generalized Category Discovery
16. CVPR 2023Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
17. CVPR 2023Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
18. CVPR 2023Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
19. CVPR 2023Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces
20. CVPR 2023On-the-Fly Category Discovery
21. CVPR 2023PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification

常见问题

2023–2026 年四大会议一共有多少篇因果发现论文？

共 379 篇，按年份分别是 2023 年 59 篇、2024 年 82 篇、2025 年 99 篇、2026 年 139 篇。

NeurIPS 2026 有多少篇因果发现论文？

NeurIPS 2026 有 53 篇因果发现论文，上一届是 34 篇。

ICLR 2026 有多少篇因果发现论文？

ICLR 2026 有 25 篇因果发现论文，上一届是 27 篇。

ICML 2026 有多少篇因果发现论文？

ICML 2026 有 54 篇因果发现论文，上一届是 31 篇。

CVPR 2026 有多少篇因果发现论文？

CVPR 2026 有 7 篇因果发现论文，上一届是 7 篇。

哪个会议的因果发现论文最多？

NeurIPS，2023–2026 年共 150 篇。