驾驶仿真论文趋势 2023–2026

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。

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 218 篇，第 1 / 5 页

1. ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
2. ICML 20232D-Shapley: A Framework for Fragmented Data Valuation
3. ICML 2023A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
4. ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
5. ICML 2023A Fast Optimistic Method for Monotone Variational Inequalities
6. ICML 2023A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
7. ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
8. ICML 2023A Kernelized Stein Discrepancy for Biological Sequences
9. ICML 2023A Model-Based Method for Minimizing CVaR and Beyond
10. ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
11. ICML 2023A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee
12. ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
13. ICML 2023A New PHO-rmula for Improved Performance of Semi-Structured Networks
14. ICML 2023A Reinforcement Learning Framework for Dynamic Mediation Analysis
15. ICML 2023A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
16. ICML 2023A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
17. ICML 2023A Universal Unbiased Method for Classification from Aggregate Observations
18. ICML 2023A Watermark for Large Language Models
19. ICML 2023Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems
20. ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
21. ICML 2023Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
22. ICML 2023Approximate Stein Classes for Truncated Density Estimation
23. ICML 2023Approximately Optimal Core Shapes for Tensor Decompositions
24. ICML 2023Approximation Algorithms for Fair Range Clustering
25. ICML 2023Are Large Kernels Better Teachers than Transformers for ConvNets?
26. ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
27. ICML 2023Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
28. ICML 2023Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
29. ICML 2023Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
30. ICML 2023Bi-directional Masks for Efficient N:M Sparse Training
31. ICML 2023Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
32. ICML 2023Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
33. ICML 2023Brainformers: Trading Simplicity for Efficiency
34. ICML 2023CLUSTSEG: Clustering for Universal Segmentation
35. ICML 2023Compositional Score Modeling for Simulation-Based Inference
36. ICML 2023Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
37. ICML 2023Concept-based Explanations for Out-of-Distribution Detectors
38. ICML 2023Coordinate Descent Methods for Fractional Minimization
39. ICML 2023CRISP: Curriculum based Sequential neural decoders for Polar code family
40. ICML 2023Data Structures for Density Estimation
41. ICML 2023Data-Driven Subgroup Identification for Linear Regression
42. ICML 2023Deep Laplacian-based Options for Temporally-Extended Exploration
43. ICML 2023DevFormer: A Symmetric Transformer for Context-Aware Device Placement
44. ICML 2023Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
45. ICML 2023Differentiable Simulations for Enhanced Sampling of Rare Events
46. ICML 2023Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
47. ICML 2023DoCoFL: Downlink Compression for Cross-Device Federated Learning
48. ICML 2023Dual Focal Loss for Calibration
49. ICML 2023Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
50. ICML 2023Efficient preconditioned stochastic gradient descent for estimation in latent variable models

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。