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 16 篇，第 1 / 1 页

1. ICLR 2024A Linear Algebraic Framework for Counterfactual Generation
2. ICLR 2024A Neural Framework for Generalized Causal Sensitivity Analysis
3. ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
4. ICLR 2024Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
5. ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
6. ICLR 2024Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
7. ICLR 2024Defining Expertise: Applications to Treatment Effect Estimation
8. ICLR 2024Doubly Robust Proximal Causal Learning for Continuous Treatments
9. ICLR 2024Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
10. ICLR 2024Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
11. ICLR 2024Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
12. ICLR 2024ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update
13. ICLR 2024On the Effect of Batch Size in Byzantine-Robust Distributed Learning
14. ICLR 2024Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
15. ICLR 2024The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
16. ICLR 2024Treatment Effects Estimation By Uniform Transformer

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。