处理效应论文趋势 2023–2026
ATE/CATE
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 385 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 21 | 9 | 33 | 12 | 75 |
| 2024 | 32 | 16 | 40 | 18 | 106 |
| 2025 | 34 | 16 | 31 | 17 | 98 |
| 2026 | 44 | 18 | 27 | 17 | 106 |
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 385 篇，第 8 / 8 页
- ICML 2023On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
- ICML 2023On the Estimation of Gaussian Mixture Copula Models
- ICML 2023On the Identifiability and Estimation of Causal Location-Scale Noise Models
- ICML 2023Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
- ICML 2023Private Statistical Estimation of Many Quantiles
- ICML 2023Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
- ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
- ICML 2023Sequential Underspecified Instrument Selection for Cause-Effect Estimation
- ICML 2023Stable Estimation of Heterogeneous Treatment Effects
- ICML 2023Subset-Based Instance Optimality in Private Estimation
- ICML 2023Task-specific experimental design for treatment effect estimation
- ICML 2023The Dormant Neuron Phenomenon in Deep Reinforcement Learning
- ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
- ICML 2023Toward Efficient Gradient-Based Value Estimation
- NeurIPS 2023A Cross-Moment Approach for Causal Effect Estimation
- NeurIPS 2023Adversarial Counterfactual Environment Model Learning
- NeurIPS 2023An Efficient Doubly-Robust Test for the Kernel Treatment Effect
- NeurIPS 2023Causal Effect Identification in Uncertain Causal Networks
- NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
- NeurIPS 2023Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
- NeurIPS 2023Data Pruning via Moving-one-Sample-out
- NeurIPS 2023Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
- NeurIPS 2023FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
- NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
- NeurIPS 2023Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
- NeurIPS 2023Minimax-Optimal Location Estimation
- NeurIPS 2023Multiply Robust Federated Estimation of Targeted Average Treatment Effects
- NeurIPS 2023Non-stationary Experimental Design under Linear Trends
- NeurIPS 2023On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
- NeurIPS 2023Optimal Transport for Treatment Effect Estimation
- NeurIPS 2023Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
- NeurIPS 2023Optimal Treatment Regimes for Proximal Causal Learning
- NeurIPS 2023RegBN: Batch Normalization of Multimodal Data with Regularization
- NeurIPS 2023Sharp Bounds for Generalized Causal Sensitivity Analysis
- NeurIPS 2023The Tunnel Effect: Building Data Representations in Deep Neural Networks
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 查处理效应在 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": "treatment-effect"}
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。