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 335 篇,第 6 / 7 页
- NeurIPS 2026Jump Start Your Policy Learning with Lessons from 145,000 Training Runs
- NeurIPS 2026KL for a KL: On-Policy Distillation with Control Variate Baseline
- NeurIPS 2026LAFP: Preserving Latent Action Structure in Latent Policy Learning via Flow Matching
- NeurIPS 2026LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling
- NeurIPS 2026Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring
- NeurIPS 2026Lattice Deduction Transformers
- NeurIPS 2026Learning from Language Feedback via Variational Policy Distillation
- NeurIPS 2026Learning Multimodal One-step Flow Policy via Value-weighted Optimal Transport
- NeurIPS 2026Learning to Ask: Metacognitive Action Policy for Large and Small Language Model Collaboration
- NeurIPS 2026Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation
- NeurIPS 2026Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences
- NeurIPS 2026Local Policy Manifolds for Efficient Multi-Objective Reinforcement Learning
- NeurIPS 2026LOCU: Löwdin-Orthogonalized Constraint Updates for Multi-Constraint Policy Optimization
- NeurIPS 2026Long-Term Risks of Risk-Based Allocation
- NeurIPS 2026Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning
- NeurIPS 2026LPG: Balancing Efficiency and Policy Reasoning in Latent Policy Guardrails
- NeurIPS 2026M3-HNTM: Hyperspherical Multimodal Topic Modeling with Symbolic and Contextual Evidence
- NeurIPS 2026Masked Visual Actions for Unified World Modeling
- NeurIPS 2026MENDR: Manifold-Embedded Neural Data Representations for Channel-Agnostic EEG Foundation Modeling
- NeurIPS 2026Merging RLVR-Trained Experts via Policy-Shift-Guided Spectral Alignment
- NeurIPS 2026METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
- NeurIPS 2026Modeling quantum neural network gradient with reinforcement learning
- NeurIPS 2026Modeling Whole-Slide Images as Dynamic Tumor Microenvironment Fields
- NeurIPS 2026Motif-Mamba: network motif improved mamba for long-range sequence modeling
- NeurIPS 2026MoTo: Mixture of Tokenizers Towards Fair Multilingual Language Modeling
- NeurIPS 2026Multi-Objective Causal Bandits: Minimal Intervention Space and Policy-Level Learning
- NeurIPS 2026NeuroInk: Retinomorphic Spiking Sequence Modeling for Handwritten Text Recognition
- NeurIPS 2026Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning
- NeurIPS 2026Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR
- NeurIPS 2026Off-Policy Evaluation of Large Language Models via Learned Semantic Bottleneck Embeddings
- NeurIPS 2026Off-policy Learning with Excursion Policies
- NeurIPS 2026OmniToM: Benchmarking Theory of Mind in LLMs via Explicit Belief Modeling
- NeurIPS 2026On the Runway Cascade of Transformers for Language Modeling
- NeurIPS 2026On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation
- NeurIPS 2026On-Policy Counterfactual Influence
- NeurIPS 2026Ordered Policy Optimization
- NeurIPS 2026OTROPE: Optimal Transport-based Robust Off-policy Evaluation for Large Language Models
- NeurIPS 2026PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting
- NeurIPS 2026Perceive-then-Plan: Layout-as-Policy for Monocular 3D Scene Layout Estimation
- NeurIPS 2026Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
- NeurIPS 2026PhaseDance: Capturing Rhythm and Expressivity in Dance Modeling
- NeurIPS 2026PINNBench: A Benchmark and Evaluation Study of Training Policy Selection in Hybrid PINN-Operator Solvers
- NeurIPS 2026Point Tracking Improves World Action Models
- NeurIPS 2026Policy Gradient Algorithms in Average-Reward Multichain MDPs
- NeurIPS 2026Policy Regret Minimization in Partially Observable Markov Games
- NeurIPS 2026Preferential dynamic modeling with forward-backward smoothing
- NeurIPS 2026Proposing Better Rollouts for On-Policy Distillation
- NeurIPS 2026Q-MMR: Off-Policy Evaluation via Recursive Reweighting and Moment Matching
- NeurIPS 2026Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective
- NeurIPS 2026Reconciling Operational Energy Trilemma: A Heterogeneous Risk-Constrained MDP Framework with Residual Policy 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"}
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。