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 228 篇，第 4 / 5 页
- ICLR 2025Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost
- ICLR 2025ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
- ICLR 2025PIORF: Physics-Informed Ollivier-Ricci Flow for Long–Range Interactions in Mesh Graph Neural Networks
- ICLR 2025Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
- ICLR 2025Preference Elicitation for Offline Reinforcement Learning
- ICLR 2025Probabilistic Neural Pruning via Sparsity Evolutionary Fokker-Planck-Kolmogorov Equation
- ICLR 2025Progressive Mixed-Precision Decoding for Efficient LLM Inference
- ICLR 2025Prototype antithesis for biological few-shot class-incremental learning
- ICLR 2025Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
- ICLR 2025Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
- ICLR 2025QERA: an Analytical Framework for Quantization Error Reconstruction
- ICLR 2025QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
- ICLR 2025Quamba: A Post-Training Quantization Recipe for Selective State Space Models
- ICLR 2025Quantifying Generalization Complexity for Large Language Models
- ICLR 2025Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
- ICLR 2025Query-based Knowledge Transfer for Heterogeneous Learning Environments
- ICLR 2025Radar: Fast Long-Context Decoding for Any Transformer
- ICLR 2025Reconciling Model Multiplicity for Downstream Decision Making
- ICLR 2025REEF: Representation Encoding Fingerprints for Large Language Models
- ICLR 2025ReGen: Generative Robot Simulation via Inverse Design
- ICLR 2025Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
- ICLR 2025Regularization by Texts for Latent Diffusion Inverse Solvers
- ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
- ICLR 2025Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
- ICLR 2025Reinforcement learning with combinatorial actions for coupled restless bandits
- ICLR 2025Repulsive Latent Score Distillation for Solving Inverse Problems
- ICLR 2025ReSi: A Comprehensive Benchmark for Representational Similarity Measures
- ICLR 2025RESuM: A Rare Event Surrogate Model for Physics Detector Design
- ICLR 2025Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
- ICLR 2025Rethinking Shapley Value for Negative Interactions in Non-convex Games
- ICLR 2025Revisiting Random Walks for Learning on Graphs
- ICLR 2025Robust Function-Calling for On-Device Language Model via Function Masking
- ICLR 2025Robust Simulation-Based Inference under Missing Data via Neural Processes
- ICLR 2025Robustness Reprogramming for Representation Learning
- ICLR 2025Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
- ICLR 2025RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
- ICLR 2025S4M: S4 for multivariate time series forecasting with Missing values
- ICLR 2025Score-based free-form architectures for high-dimensional Fokker-Planck equations
- ICLR 2025Second Order Bounds for Contextual Bandits with Function Approximation
- ICLR 2025Self-Normalized Resets for Plasticity in Continual Learning
- ICLR 2025Semantix: An Energy-guided Sampler for Semantic Style Transfer
- ICLR 2025Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
- ICLR 2025Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
- ICLR 2025SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
- ICLR 2025Simple Guidance Mechanisms for Discrete Diffusion Models
- ICLR 2025SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting
- ICLR 2025SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
- ICLR 2025SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
- ICLR 2025SOREL: A Stochastic Algorithm for Spectral Risks Minimization
- ICLR 2025SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training
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。