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 1,214 篇，第 6 / 25 页
- ICML 2026Positional Encoding for Spiking Transformers
- ICML 2026Possibilistic Predictive Uncertainty for Deep Learning
- ICML 2026Posterior Behavioral Cloning: Pretraining BC Policies for Efficient RL Finetuning
- ICML 2026Posterior Mismatch Matters: Adversarial Training for Long-Tailed Robustness
- ICML 2026PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training
- ICML 2026PRISM: Perception Reasoning Interleaved for Sequential Decision Making.
- ICML 2026Probabilistically-routed Bayesian Additive Spanning Trees for Learning on Constrained Domains
- ICML 2026Projection-Free Algorithms for Minimax Problems
- ICML 2026Proteus: Lookup-Free Trellis-Coded Quantization by Lattice-Breaking Compute Codes for 2-Bit LLMs
- ICML 2026Provable Bounds for the Learnability of Sample-Compressible Families from Noisy Samples
- ICML 2026Provable Training Data Identification for Large Language Models
- ICML 2026Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
- ICML 2026Pseudo-Mallows for Efficient Probabilistic Preference Learning
- ICML 2026QiMeng-PerceptOS: Semantic-Aware Kernel Optimization for OS-Intensive Workloads via Hardware-Software Alignment
- ICML 2026Quantifying the noise sensitivity of the Wasserstein metric for images
- ICML 2026Quantum Algorithms for Triangle Cut Sparsification
- ICML 2026Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity
- ICML 2026QuantumBoost: A lazy, yet fast, quantum algorithm for learning with weak hypotheses
- ICML 2026RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference
- ICML 2026Ramba: Selective State-Space Models for Relational Deep Learning
- ICML 2026Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
- ICML 2026Representation Learning for Equivariant Inference with Guarantees
- ICML 2026RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
- ICML 2026Rethinking Calibration for Early-Exit Neural Networks
- ICML 2026Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View
- ICML 2026Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
- ICML 2026Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
- ICML 2026Riemannian stochastic optimization for sufficient dimension reduction
- ICML 2026Risk-Bounded Distribution Reconstruction: Stable Statistic Calibration for Long-Tailed Recognition
- ICML 2026RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
- ICML 2026Rooted Absorbed Prefix Trajectory Balance with Submodular Replay for GFlowNet Training
- ICML 2026Rotary Position Encodings for Graphs
- ICML 2026RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
- ICML 2026SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics
- ICML 2026SAGE-NAS: Synergizing LLM-Based Semantic Agent with Graph-Based Evaluator for Neural Architecture Search
- ICML 2026Sample Complexity Bounds for Robust Mean Estimation with Mean-Shift Contamination
- ICML 2026SC$^{2}$-WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments
- ICML 2026ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving
- ICML 2026SCORE: A Unified Framework for Overshoot Refund in Online FDR Control
- ICML 2026SD-MoE: Spectral Decomposition for Effective Expert Specialization
- ICML 2026Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
- ICML 2026SHAP-Guided Kernel Actor-Critic for Explainable Reinforcement Learning
- ICML 2026Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
- ICML 2026Sharp Concentration Bounds for Bundle-Valued Statistics on Manifolds
- ICML 2026Sharp Empirical Bernstein Inequalities for the Variance of Bounded Random Variables
- ICML 2026Shortcut-Resistant CAM Distillation for Long-Tailed Recognition
- ICML 2026Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
- ICML 2026Signature-Informed Transformer for Asset Allocation
- ICML 2026SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning
- ICML 2026SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
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。