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 69 篇，第 1 / 2 页

1. NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
2. NeurIPS 2024A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
3. NeurIPS 2024Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
4. NeurIPS 2024AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
5. NeurIPS 2024Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
6. NeurIPS 2024AED: Adaptable Error Detection for Few-shot Imitation Policy
7. NeurIPS 2024Any2Policy: Learning Visuomotor Policy with Any-Modality
8. NeurIPS 2024Approximation Rate of the Transformer Architecture for Sequence Modeling
9. NeurIPS 2024Autoregressive Policy Optimization for Constrained Allocation Tasks
10. NeurIPS 2024Block Transformer: Global-to-Local Language Modeling for Fast Inference
11. NeurIPS 2024Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
12. NeurIPS 2024CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts
13. NeurIPS 2024Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs
14. NeurIPS 2024Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
15. NeurIPS 2024CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
16. NeurIPS 2024Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
17. NeurIPS 2024Deep Bayesian Active Learning for Preference Modeling in Large Language Models
18. NeurIPS 2024Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
19. NeurIPS 2024Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration
20. NeurIPS 2024Discrete Flow Matching
21. NeurIPS 2024Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
22. NeurIPS 2024Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
23. NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
24. NeurIPS 2024Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
25. NeurIPS 2024EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes
26. NeurIPS 2024Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
27. NeurIPS 2024FedAvP: Augment Local Data via Shared Policy in Federated Learning
28. NeurIPS 2024Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
29. NeurIPS 2024Flipping-based Policy for Chance-Constrained Markov Decision Processes
30. NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
31. NeurIPS 2024Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
32. NeurIPS 2024Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
33. NeurIPS 2024Goal-Conditioned On-Policy Reinforcement Learning
34. NeurIPS 2024Going Beyond Heuristics by Imposing Policy Improvement as a Constraint
35. NeurIPS 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
36. NeurIPS 2024Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
37. NeurIPS 2024Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
38. NeurIPS 2024Large Scale Transfer Learning for Tabular Data via Language Modeling
39. NeurIPS 2024Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
40. NeurIPS 2024Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
41. NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
42. NeurIPS 2024Light Unbalanced Optimal Transport
43. NeurIPS 2024Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
44. NeurIPS 2024Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
45. NeurIPS 2024Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
46. NeurIPS 2024Multi-Reward Best Policy Identification
47. NeurIPS 2024MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
48. NeurIPS 2024Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
49. NeurIPS 2024OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
50. NeurIPS 2024Optimal Batched Best Arm Identification

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。