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 98 篇，第 1 / 2 页

1. CVPR 2025Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
2. CVPR 2025Any6D: Model-free 6D Pose Estimation of Novel Objects
3. CVPR 2025BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation
4. CVPR 2025Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images
5. CVPR 2025Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries
6. CVPR 2025Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation
7. CVPR 2025Co-op: Correspondence-based Novel Object Pose Estimation
8. CVPR 2025Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels
9. CVPR 2025Extreme Rotation Estimation in the Wild
10. CVPR 2025Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
11. CVPR 2025Pos3R: 6D Pose Estimation for Unseen Objects Made Easy
12. CVPR 2025Rethinking Correspondence-based Category-Level Object Pose Estimation
13. CVPR 2025S^3-Face: SSS-Compliant Facial Reflectance Estimation via Diffusion Priors
14. CVPR 2025Scalable Autoregressive Monocular Depth Estimation
15. CVPR 2025ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
16. CVPR 2025UniK3D: Universal Camera Monocular 3D Estimation
17. CVPR 2025Zero-Shot Monocular Scene Flow Estimation in the Wild
18. ICLR 2025Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
19. ICLR 2025Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
20. ICLR 2025Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
21. ICLR 2025Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
22. ICLR 2025Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
23. ICLR 2025Differentially private learners for heterogeneous treatment effects
24. ICLR 2025Doubly robust identification of treatment effects from multiple environments
25. ICLR 2025Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models
26. ICLR 2025Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
27. ICLR 2025Gaussian Mixture Counterfactual Generator
28. ICLR 2025Incremental Causal Effect for Time to Treatment Initialization
29. ICLR 2025Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid
30. ICLR 2025Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
31. ICLR 2025Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
32. ICLR 2025Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
33. ICLR 2025Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
34. ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
35. ICML 2025A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
36. ICML 2025Active Treatment Effect Estimation via Limited Samples
37. ICML 2025Adjustment for Confounding using Pre-Trained Representations
38. ICML 2025AutoCATE: End-to-End, Automated Treatment Effect Estimation
39. ICML 2025Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
40. ICML 2025Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation
41. ICML 2025Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
42. ICML 2025Density Ratio Estimation with Conditional Probability Paths
43. ICML 2025Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation
44. ICML 2025Distinguishing Cause from Effect with Causal Velocity Models
45. ICML 2025Doubly Robust Conformalized Survival Analysis with Right-Censored Data
46. ICML 2025Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
47. ICML 2025Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
48. ICML 2025Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
49. ICML 2025Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
50. ICML 2025Learning Representations of Instruments for Partial Identification of Treatment Effects

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。