医疗政策建模论文趋势 2023–2026
政策与流行病学
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 875 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 31 | 40 | 38 | 25 | 134 |
| 2024 | 69 | 36 | 69 | 20 | 194 |
| 2025 | 94 | 39 | 61 | 18 | 212 |
| 2026 | 138 | 58 | 102 | 37 | 335 |
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 69 篇，第 2 / 2 页
- NeurIPS 2024Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
- NeurIPS 2024Pessimistic Backward Policy for GFlowNets
- NeurIPS 2024Policy Improvement using Language Feedback Models
- NeurIPS 2024Policy Mirror Descent with Lookahead
- NeurIPS 2024Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
- NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
- NeurIPS 2024Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
- NeurIPS 2024Robot Policy Learning with Temporal Optimal Transport Reward
- NeurIPS 2024RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
- NeurIPS 2024Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
- NeurIPS 2024Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
- NeurIPS 2024Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
- NeurIPS 2024SpaceByte: Towards Deleting Tokenization from Large Language Modeling
- NeurIPS 2024SPO: Sequential Monte Carlo Policy Optimisation
- NeurIPS 2024SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning
- NeurIPS 2024SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
- NeurIPS 2024The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
- NeurIPS 2024Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning
- NeurIPS 2024When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
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 查医疗政策建模在 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": "healthcare-policy-modeling"}
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。