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 36 篇，第 1 / 1 页

1. ICLR 2024$\pi$2vec: Policy Representation with Successor Features
2. ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
3. ICLR 2024A Policy Gradient Method for Confounded POMDPs
4. ICLR 2024Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
5. ICLR 2024Blending Imitation and Reinforcement Learning for Robust Policy Improvement
6. ICLR 2024Conformal Language Modeling
7. ICLR 2024Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
8. ICLR 2024FITS: Modeling Time Series with $10k$ Parameters
9. ICLR 2024Future Language Modeling from Temporal Document History
10. ICLR 2024Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
11. ICLR 2024GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
12. ICLR 2024GROOT: Learning to Follow Instructions by Watching Gameplay Videos
13. ICLR 2024Identifying Policy Gradient Subspaces
14. ICLR 2024Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
15. ICLR 2024LEAP: Liberate Sparse-View 3D Modeling from Camera Poses
16. ICLR 2024Learning to Act from Actionless Videos through Dense Correspondences
17. ICLR 2024Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
18. ICLR 2024LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
19. ICLR 2024Mask-Based Modeling for Neural Radiance Fields
20. ICLR 2024Model Merging by Uncertainty-Based Gradient Matching
21. ICLR 2024Modeling Boundedly Rational Agents with Latent Inference Budgets
22. ICLR 2024Off-Policy Primal-Dual Safe Reinforcement Learning
23. ICLR 2024On Trajectory Augmentations for Off-Policy Evaluation
24. ICLR 2024Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
25. ICLR 2024PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
26. ICLR 2024Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
27. ICLR 2024Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
28. ICLR 2024Query-Policy Misalignment in Preference-Based Reinforcement Learning
29. ICLR 2024Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
30. ICLR 2024Replay across Experiments: A Natural Extension of Off-Policy RL
31. ICLR 2024Representation Deficiency in Masked Language Modeling
32. ICLR 2024SaProt: Protein Language Modeling with Structure-aware Vocabulary
33. ICLR 2024Skill or Luck? Return Decomposition via Advantage Functions
34. ICLR 2024Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
35. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
36. ICLR 2024Towards Offline Opponent Modeling with In-context Learning

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。