医疗政策建模论文趋势 2023–2026

主要结论

• 医疗政策建模论文从 2023 年的 134 篇增长到 2026 年的 335 篇，三年间扩大到约 2.5 倍。
• NeurIPS 是发医疗政策建模论文最多的会议，2023–2026 年共 332 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 30 篇。
• 在「健康与生命科学」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的临床 NLP是 3.2 倍，医疗政策建模是 2.5 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 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
• ICML 2026Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
• ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
• CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
• NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
• ICML 2025How Transformers Learn Structured Data: Insights From Hierarchical Filtering
• ICLR 2025HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
• CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
• NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
• ICML 2024ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
• ICLR 2024Learning to Act from Actionless Videos through Dense Correspondences
• CVPR 2024MonoHair: High-Fidelity Hair Modeling from a Monocular Video
• NeurIPS 2023AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
• ICML 2023Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
• ICLR 2023An Adaptive Policy to Employ Sharpness-Aware Minimization
• CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
• NeurIPS 2026Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
• ICML 2026Efficient Continuous-Depth Modeling with GRU Equivalents
• ICLR 2026Chessformer: A Unified Architecture for Chess Modeling
• CVPR 2026D-Prism Differentiable Primitives for Structured Dynamic Modeling

全部医疗政策建模论文

共 138 篇，第 1 / 3 页

1. NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
2. NeurIPS 2026A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training
3. NeurIPS 2026Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction
4. NeurIPS 2026Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces
5. NeurIPS 2026AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
6. NeurIPS 2026Attribution-Guided Exit Policy for Reliable Early-Exit Inference
7. NeurIPS 2026Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback
8. NeurIPS 2026Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents
9. NeurIPS 2026Beyond SFT-to-RL: Pre-alignment via Black-box On-policy Distillation for Multimodal RL
10. NeurIPS 2026Boosting Off-Policy RLVR with Data-Centric Replay
11. NeurIPS 2026BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
12. NeurIPS 2026Budgeted Multi-Source Counterfactual Annotation for Off-Policy Evaluation
13. NeurIPS 2026Calibrated Safe Policy Improvement for Continuous Offline Reinforcement Learning
14. NeurIPS 2026CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening
15. NeurIPS 2026Causally Structured Differential Network Modeling for Single-Cell Perturbation Prediction
16. NeurIPS 2026Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
17. NeurIPS 2026Class-Domain Incremental Learning with Extensible Multi-Center Modeling
18. NeurIPS 2026Co-Evolving Policy Distillation
19. NeurIPS 2026COMPASS: Composable Policy-Amortized Structured Search for LLM-Based Optimization Modeling
20. NeurIPS 2026Compose Your Oracles: Off Policy Improvement with Aggregated Guidance
21. NeurIPS 2026Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
22. NeurIPS 2026DASM: Dynamic Autoregressive Subgraph Mining via Two-Stage Policy Alignment
23. NeurIPS 2026Decentralized AI Governance Must Decouple Policy Processing from Capability Enforcement
24. NeurIPS 2026DeFlow: Decoupling Behavior-Prior Modeling and Value Maximization for Offline Policy Extraction
25. NeurIPS 2026DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning
26. NeurIPS 2026Delightful Distributed Policy Gradient
27. NeurIPS 2026DIAGNO: Diagonal Spherical Neural Operators for Heterogeneous Earth Dynamics Modeling
28. NeurIPS 2026Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling
29. NeurIPS 2026Distributionally-Robust Policy Learning from Observational Data
30. NeurIPS 2026Does This Gradient Spark Joy?
31. NeurIPS 2026Don’t Let Gains FADE: Breaking Down Policy Gradient Weights in RL
32. NeurIPS 2026Drift Q-Learning
33. NeurIPS 2026Drifting Field Policy: Wasserstein Gradient Flow on Policy Space for Offline-to-Online RL
34. NeurIPS 2026Efficient Diffusion Policy Fine Tuning with Latent Noise Representation Bridging
35. NeurIPS 2026Explainability matters: The effect of liability rules on the healthcare sector
36. NeurIPS 2026Exploration as Constrained Policy-Space Optimization
37. NeurIPS 2026Express Language Modeling
38. NeurIPS 2026Feedback World Model Enables Precise Guidance of Diffusion Policy
39. NeurIPS 2026FLAG: Flow Policy MaxEnt-RL by Latent Augmented Guidance
40. NeurIPS 2026FLASH: Efficient Visuomotor Policy via Sparse Sampling
41. NeurIPS 2026From Expert Knowledge to Optimization Modeling: Prototype-Based Data Synthesis and Logical Reinforcement Learning
42. NeurIPS 2026Geometrically Disentangling Concept Learning from the Language Modeling Loss
43. NeurIPS 2026Global linear convergence of entropy-regularized softmax policy gradient beyond tabular MDPs
44. NeurIPS 2026Graph-Enhanced Attribute-Aware Modeling for Cloth-Changing Person Re-Identification
45. NeurIPS 2026High Probability Risk Control for Online Policy Learning
46. NeurIPS 2026Higher-Order Action Supervision Makes A Strong Policy Class
47. NeurIPS 2026Horizon Adaptive Offline Policy Learning via Value Stitching
48. NeurIPS 2026How Neural Reward Models Learn Features for Policy Optimization: A Single-Index Analysis
49. NeurIPS 2026How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning
50. NeurIPS 2026Hypergraph Modeling of Transformer Attention for Hallucination Detection

常见问题

2023–2026 年四大会议一共有多少篇医疗政策建模论文？

共 875 篇，按年份分别是 2023 年 134 篇、2024 年 194 篇、2025 年 212 篇、2026 年 335 篇。

NeurIPS 2026 有多少篇医疗政策建模论文？

NeurIPS 2026 有 138 篇医疗政策建模论文，上一届是 94 篇。

ICLR 2026 有多少篇医疗政策建模论文？

ICLR 2026 有 58 篇医疗政策建模论文，上一届是 39 篇。

ICML 2026 有多少篇医疗政策建模论文？

ICML 2026 有 102 篇医疗政策建模论文，上一届是 61 篇。

CVPR 2026 有多少篇医疗政策建模论文？

CVPR 2026 有 37 篇医疗政策建模论文，上一届是 18 篇。

哪个会议的医疗政策建模论文最多？

NeurIPS，2023–2026 年共 332 篇。