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 332 篇，第 3 / 7 页

101. NeurIPS 2026Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching
102. NeurIPS 2026Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective
103. NeurIPS 2026Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy Learning
104. NeurIPS 2026Rectified Policy Rollouts with Hierarchical Expert Guidance for Neural Combinatorial Optimization
105. NeurIPS 2026ReFPO: Reflow Regularization for Flow Matching Policy Gradients
106. NeurIPS 2026RevengeBench: Reverse Engineering Code-Space Policies from Behavioral Experiments
107. NeurIPS 2026Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks
108. NeurIPS 2026Reversing the Roles of Signal and Noise: Modeling Noise in Astronomical Images without Paired Data
109. NeurIPS 2026Revisiting On-policy Adversarial Black-Box Distillation: Calibrating Groupwise Reward Geometry for Effective Advantage Construction
110. NeurIPS 2026Risk-Calibrated Context Selection for Healthcare Multi-Agent Handoff
111. NeurIPS 2026RL Excursions during Pre-training: How early is too early for on-policy learning?
112. NeurIPS 2026Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
113. NeurIPS 2026Selective Off-Policy Reference Tuning with Plan Guidance
114. NeurIPS 2026Sharp Convergence and Sample Complexity of Policy Mirror Descent for Average-Reward MDPs
115. NeurIPS 2026Skill-Coupled Policy Optimization with Calibrated Group-Wise Advantage Estimation
116. NeurIPS 2026Stabilizing Policy Optimization via Logits Convexity
117. NeurIPS 2026STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
118. NeurIPS 2026Strategic Causal Policy Learning: Welfare, Safety, and Fairness Thresholds
119. NeurIPS 2026SurgVista: Long-Horizon Surgical World Modeling with Plausible Instrument-Tissue Dynamics
120. NeurIPS 2026Targeted Review for AI-Assisted Biodiversity Surveys: Active Continuous-Score Occupancy Modeling
121. NeurIPS 2026Task-Driven Bayesian Experimental Design Yields Singly Intractable Objectives for Joint Policy Training
122. NeurIPS 2026TEMPO: Temporal Enforcement via Mode-Separated Policy Optimization for Trustworthy LLM Backtesting
123. NeurIPS 2026The Many Faces of On-Policy Distillation: Pitfalls, Mechanisms, and Fixes
124. NeurIPS 2026Thinking with Images as Continuous Policy: Numerical Visual Chain-of-Thought
125. NeurIPS 2026Time–Frequency Non-Stationary Modeling for Multivariate Time Series Forecasting
126. NeurIPS 2026Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion
127. NeurIPS 2026Towards Financial World Modeling
128. NeurIPS 2026Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents
129. NeurIPS 2026TReDS: Trajectory-Grounded Requirement-Capability Modeling for Training Distribution Shaping in Tool-Interactive Tasks
130. NeurIPS 2026Trust Region Policy Distillation
131. NeurIPS 2026UGM: Unified Multi-scale Genomic Event Modeling with Site-level Joint Prediction
132. NeurIPS 2026Unleashing the Power of Intrinsic-Entropy-Driven Exploration for Off-Policy Generative RL
133. NeurIPS 2026VideoSailor: Navigating Video Deep Research via Trajectory-to-Policy Flywheel
134. NeurIPS 2026When Attention Collapses: Residual Evidence Modeling for Compositional Inference
135. NeurIPS 2026When Policy Entropy Constraint Fails: Preserving Diversity in Flow-based RLHF via Perceptual Entropy
136. NeurIPS 2026World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
137. NeurIPS 2026World-Model-Inspired Flicker State Modeling for Burst Flicker Removal
138. NeurIPS 2026Your Teacher Can’t Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation
139. NeurIPS 2025$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks
140. NeurIPS 20253D Equivariant Visuomotor Policy Learning via Spherical Projection
141. NeurIPS 2025A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
142. NeurIPS 2025A Practical Guide for Incorporating Symmetry in Diffusion Policy
143. NeurIPS 2025A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
144. NeurIPS 2025Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
145. NeurIPS 2025An Investigation of Memorization Risk in Healthcare Foundation Models
146. NeurIPS 2025Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
147. NeurIPS 2025Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
148. NeurIPS 2025Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
149. NeurIPS 2025Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints
150. NeurIPS 2025Bootstrap Off-policy with World Model

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。