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 75 篇，第 2 / 2 页

51. ICML 2023Task-specific experimental design for treatment effect estimation
52. ICML 2023The Dormant Neuron Phenomenon in Deep Reinforcement Learning
53. ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
54. ICML 2023Toward Efficient Gradient-Based Value Estimation
55. NeurIPS 2023A Cross-Moment Approach for Causal Effect Estimation
56. NeurIPS 2023Adversarial Counterfactual Environment Model Learning
57. NeurIPS 2023An Efficient Doubly-Robust Test for the Kernel Treatment Effect
58. NeurIPS 2023Causal Effect Identification in Uncertain Causal Networks
59. NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
60. NeurIPS 2023Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
61. NeurIPS 2023Data Pruning via Moving-one-Sample-out
62. NeurIPS 2023Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
63. NeurIPS 2023FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
64. NeurIPS 2023Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
65. NeurIPS 2023Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
66. NeurIPS 2023Minimax-Optimal Location Estimation
67. NeurIPS 2023Multiply Robust Federated Estimation of Targeted Average Treatment Effects
68. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
69. NeurIPS 2023On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
70. NeurIPS 2023Optimal Transport for Treatment Effect Estimation
71. NeurIPS 2023Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
72. NeurIPS 2023Optimal Treatment Regimes for Proximal Causal Learning
73. NeurIPS 2023RegBN: Batch Normalization of Multimodal Data with Regularization
74. NeurIPS 2023Sharp Bounds for Generalized Causal Sensitivity Analysis
75. NeurIPS 2023The Tunnel Effect: Building Data Representations in Deep Neural Networks

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。