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

每年论文数

各会议论文数

按年份和会议统计

医疗政策建模论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202331403825134
202469366920194
202594396118212
20261385810237335

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

全部医疗政策建模论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 332 篇，第 6 / 7 页

  1. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
  2. NeurIPS 2024Discrete Flow Matching
  3. NeurIPS 2024Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
  4. NeurIPS 2024Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
  5. NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
  6. NeurIPS 2024Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
  7. NeurIPS 2024EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes
  8. NeurIPS 2024Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
  9. NeurIPS 2024FedAvP: Augment Local Data via Shared Policy in Federated Learning
  10. NeurIPS 2024Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
  11. NeurIPS 2024Flipping-based Policy for Chance-Constrained Markov Decision Processes
  12. NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
  13. NeurIPS 2024Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
  14. NeurIPS 2024Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
  15. NeurIPS 2024Goal-Conditioned On-Policy Reinforcement Learning
  16. NeurIPS 2024Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
  17. NeurIPS 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
  18. NeurIPS 2024Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
  19. NeurIPS 2024Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
  20. NeurIPS 2024Large Scale Transfer Learning for Tabular Data via Language Modeling
  21. NeurIPS 2024Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
  22. NeurIPS 2024Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
  23. NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
  24. NeurIPS 2024Light Unbalanced Optimal Transport
  25. NeurIPS 2024Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
  26. NeurIPS 2024Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
  27. NeurIPS 2024Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
  28. NeurIPS 2024Multi-Reward Best Policy Identification
  29. NeurIPS 2024MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
  30. NeurIPS 2024Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
  31. NeurIPS 2024OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
  32. NeurIPS 2024Optimal Batched Best Arm Identification
  33. NeurIPS 2024Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
  34. NeurIPS 2024Pessimistic Backward Policy for GFlowNets
  35. NeurIPS 2024Policy Improvement using Language Feedback Models
  36. NeurIPS 2024Policy Mirror Descent with Lookahead
  37. NeurIPS 2024Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
  38. NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
  39. NeurIPS 2024Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity
  40. NeurIPS 2024Robot Policy Learning with Temporal Optimal Transport Reward
  41. NeurIPS 2024RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
  42. NeurIPS 2024Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
  43. NeurIPS 2024Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
  44. NeurIPS 2024Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
  45. NeurIPS 2024SpaceByte: Towards Deleting Tokenization from Large Language Modeling
  46. NeurIPS 2024SPO: Sequential Monte Carlo Policy Optimisation
  47. NeurIPS 2024SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning
  48. NeurIPS 2024SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
  49. NeurIPS 2024The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
  50. NeurIPS 2024Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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