处理效应论文趋势 2023–2026

主要结论

• 处理效应论文从 2023 年的 75 篇增长到 2026 年的 106 篇，三年间扩大到约 1.4 倍。
• NeurIPS 是发处理效应论文最多的会议，2023–2026 年共 131 篇，占四个会议总量的 34%。
• 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 2；同组增长最快的因果发现是 2.4 倍，处理效应是 1.4 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 2026Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
• ICML 2026Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables
• ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
• CVPR 2026Event Stream Filtering via Probability Flux Estimation
• NeurIPS 2025Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
• ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
• ICLR 2025Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
• CVPR 2025Any6D: Model-free 6D Pose Estimation of Novel Objects
• NeurIPS 2024Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
• ICML 2024A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
• ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
• CVPR 2024LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
• NeurIPS 2023An Efficient Doubly-Robust Test for the Kernel Treatment Effect
• ICML 2023A Three-regime Model of Network Pruning
• ICLR 2023Causal Estimation for Text Data with (Apparent) Overlap Violations
• CVPR 2023HRDFuse: Monocular 360deg Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions
• NeurIPS 2026Automated Causal Effect Estimation through Self-Evolving AI
• ICML 2026Causal-EPIG: Causally Aligned Active CATE Estimation
• ICLR 2026Foundation Models for Causal Inference via Prior-Data Fitted Networks
• CVPR 2026The Invisible Gorilla Effect in Out-of-distribution Detection

全部处理效应论文

共 32 篇，第 1 / 1 页

1. NeurIPS 2024A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
2. NeurIPS 2024An effective framework for estimating individualized treatment rules
3. NeurIPS 2024Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
4. NeurIPS 2024Breaking the curse of dimensionality in structured density estimation
5. NeurIPS 2024Capturing the denoising effect of PCA via compression ratio
6. NeurIPS 2024Causal Effect Identification in a Sub-Population with Latent Variables
7. NeurIPS 2024Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
8. NeurIPS 2024Conditional Density Estimation with Histogram Trees
9. NeurIPS 2024Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
10. NeurIPS 2024Conditional Outcome Equivalence: A Quantile Alternative to CATE
11. NeurIPS 2024DiffPO: A causal diffusion model for learning distributions of potential outcomes
12. NeurIPS 2024Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
13. NeurIPS 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Data
14. NeurIPS 2024Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
15. NeurIPS 2024Hierarchical and Density-based Causal Clustering
16. NeurIPS 2024Higher-Order Causal Message Passing for Experimentation with Complex Interference
17. NeurIPS 2024Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
18. NeurIPS 2024Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
19. NeurIPS 2024Local to Global: Learning Dynamics and Effect of Initialization for Transformers
20. NeurIPS 2024LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect
21. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
22. NeurIPS 2024On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
23. NeurIPS 2024Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
24. NeurIPS 2024RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
25. NeurIPS 2024Statistical-Computational Trade-offs for Density Estimation
26. NeurIPS 2024Structured Learning of Compositional Sequential Interventions
27. NeurIPS 2024Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding
28. NeurIPS 2024Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
29. NeurIPS 2024Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction
30. NeurIPS 2024Unified Covariate Adjustment for Causal Inference
31. NeurIPS 2024Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance
32. NeurIPS 2024Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators

常见问题

2023–2026 年四大会议一共有多少篇处理效应论文？

共 385 篇，按年份分别是 2023 年 75 篇、2024 年 106 篇、2025 年 98 篇、2026 年 106 篇。

NeurIPS 2026 有多少篇处理效应论文？

NeurIPS 2026 有 44 篇处理效应论文，上一届是 34 篇。

ICLR 2026 有多少篇处理效应论文？

ICLR 2026 有 18 篇处理效应论文，上一届是 16 篇。

ICML 2026 有多少篇处理效应论文？

ICML 2026 有 27 篇处理效应论文，上一届是 31 篇。

CVPR 2026 有多少篇处理效应论文？

CVPR 2026 有 17 篇处理效应论文，上一届是 17 篇。

哪个会议的处理效应论文最多？

NeurIPS，2023–2026 年共 131 篇。