驾驶仿真论文趋势 2023–2026
闭环仿真
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,882 篇被归入该主题的论文。
主要结论
- 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇，三年间扩大到约 2.3 倍。
- NeurIPS 是发驾驶仿真论文最多的会议，2023–2026 年共 2,111 篇，占四个会议总量的 36%。
- 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 27 篇增至 2026 年的 205 篇。
- 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的运动规划是 2.4 倍，驾驶仿真是 2.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
- CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
- NeurIPS 2025A compressive-expressive communication framework for compositional representations
- ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- ICLR 2025A Truncated Newton Method for Optimal Transport
- CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
- NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
- ICML 2024$H$-Consistency Guarantees for Regression
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
- NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
- CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
- NeurIPS 2026A Bitter Lesson for Data Filtering
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
- CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
全部驾驶仿真论文
共 940 篇，第 11 / 19 页
- NeurIPS 2026Local linear convergence of gradient methods for overparameterized Gaussian mixtures
- NeurIPS 2026LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
- NeurIPS 2026Log-Averaged Mirror Prox for Fast, Large-Scale Optimal Transport in Linear Space
- NeurIPS 2026Logarithmic Depth Suffices for In-Context Gradient Descent
- NeurIPS 2026Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness
- NeurIPS 2026LoopPrune: Evolutionary Module Selection with Iterative Execution for Efficient Large Language Model Compression
- NeurIPS 2026M*: A Modular, Extensible, Serving System for Multimodal Models
- NeurIPS 2026M$^3$: Reframing Training Measures for Discretized Physical Simulations
- NeurIPS 2026M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents
- NeurIPS 2026Macrocanonical Generator Networks: data-efficient neural surrogates for amortized physics simulation
- NeurIPS 2026MainFL: Intertemporal Data Valuation for Robust Auction-based Federated Learning
- NeurIPS 2026Majority Bit-Aware Watermarking for Large Language Models
- NeurIPS 2026MANGO:Multi-Angle Neural Gated Operators for Chirp-Perturbed PDEs
- NeurIPS 2026Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction
- NeurIPS 2026Manifold-Aligned Adversarial Perturbation for Anti-Customization under Diffusion-based Purification
- NeurIPS 2026Manifold-Guided Stereo-Monocular Refinement for Endoscopic Stereo Disparity Estimation
- NeurIPS 2026Map-Guided Caching: A Global Perspective for Efficient Diffusion Transformer
- NeurIPS 2026MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR
- NeurIPS 2026MapPolicy: Structure-Aware Imitation Learning for Robot Manipulation via Physically Constrained Scene Map
- NeurIPS 2026Margin Dynamics for Large Language Model Alignment
- NeurIPS 2026MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
- NeurIPS 2026MC^2: Monte Carlo Correction for Fast Elliptic PDE Solving
- NeurIPS 2026MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
- NeurIPS 2026MCSplat: Multi-View Photometric and Geometric Consistent Feed-Forward Gaussian Splatting for Driving Scenes
- NeurIPS 2026MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
- NeurIPS 2026Mean-Field Parallel Decoding for Discrete Diffusion Language Models
- NeurIPS 2026Mechanistic Critics for Sample-Efficient NPU Design-Space Exploration
- NeurIPS 2026MedCache: Training-Free Spatially Aware Caching for Accelerated Medical Video Generation
- NeurIPS 2026MemeEconomy : Do LLM Agents Trade Ethics for Survival?
- NeurIPS 2026Memory Type Varies: Empowering LLM Agents for Long-Term Memory with Diverse Strategies
- NeurIPS 2026MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
- NeurIPS 2026META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment
- NeurIPS 2026Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning for T2I Generation in Unified Multimodal Models
- NeurIPS 2026METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning
- NeurIPS 2026MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
- NeurIPS 2026MetaLoop: Benchmarking the Full Metacognitive Loop in LLMs
- NeurIPS 2026MICA: Activation Checkpointing for Double-Backward Training of Machine Learning Interatomic Potentials
- NeurIPS 2026MiCo: Microstructure-Consistent Flow Matching for Diffusion MRI Angular Super-Resolution
- NeurIPS 2026Mini Amusement Parks (MAPs): A Testbed for Modelling Business Decisions
- NeurIPS 2026MIRAGE: Duality-Inspired MILP Augmentation for Representation Learning
- NeurIPS 2026MIRAGE: Hierarchical MI-Surrogate Regulation for Graph Contrastive Learning
- NeurIPS 2026Mirror descent actor-critic methods for entropy regularised MDPs in general spaces: stability and convergence
- NeurIPS 2026Mirror Descent-Ascent for mean-field min-max problems
- NeurIPS 2026MixRoute: Rethinking Single-Distribution Training for Generalizable Neural Routing
- NeurIPS 2026ML-assisted Randomization Tests for A/B Experiments
- NeurIPS 2026MLLMs Fail to Refuse when Using Tools Agentically
- NeurIPS 2026MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Any-Precision LLM
- NeurIPS 2026Modulating Merging Strengths via Joint Loss Estimation for LoRA-based Continual Learning
- NeurIPS 2026Monoculture Robust Learning
- NeurIPS 2026More Value per Key: Asymmetric Sparse Attention for Faster LLM Decoding
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 查驾驶仿真在 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": "simulation-for-driving"}
常见问题
- 2023–2026 年四大会议一共有多少篇驾驶仿真论文？
- 共 5,882 篇，按年份分别是 2023 年 969 篇、2024 年 1,308 篇、2025 年 1,405 篇、2026 年 2,200 篇。
- NeurIPS 2026 有多少篇驾驶仿真论文？
- NeurIPS 2026 有 940 篇驾驶仿真论文，上一届是 542 篇。
- ICLR 2026 有多少篇驾驶仿真论文？
- ICLR 2026 有 313 篇驾驶仿真论文，上一届是 228 篇。
- ICML 2026 有多少篇驾驶仿真论文？
- ICML 2026 有 363 篇驾驶仿真论文，上一届是 275 篇。
- CVPR 2026 有多少篇驾驶仿真论文？
- CVPR 2026 有 584 篇驾驶仿真论文，上一届是 360 篇。
- 哪个会议的驾驶仿真论文最多？
- NeurIPS，2023–2026 年共 2,111 篇。