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 275 篇，第 1 / 6 页

1. ICML 2025(How) Do Language Models Track State?
2. ICML 2025A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
3. ICML 2025A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
4. ICML 2025A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
5. ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
6. ICML 2025A Market for Accuracy: Classification Under Competition
7. ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
8. ICML 2025A Near Linear Query Lower Bound for Submodular Maximization
9. ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
10. ICML 2025A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data
11. ICML 2025A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward
12. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
13. ICML 2025A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering
14. ICML 2025A Trichotomy for List Transductive Online Learning
15. ICML 2025A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
16. ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
17. ICML 2025Adaptive Self-improvement LLM Agentic System for ML Library Development
18. ICML 2025Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
19. ICML 2025Adjustment for Confounding using Pre-Trained Representations
20. ICML 2025Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge
21. ICML 2025Adversarial Inputs for Linear Algebra Backends
22. ICML 2025am-ELO: A Stable Framework for Arena-based LLM Evaluation
23. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
24. ICML 2025An Efficient Pruner for Large Language Model with Theoretical Guarantee
25. ICML 2025An Entropy-Based Model for Hierarchical Learning
26. ICML 2025An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
27. ICML 2025An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
28. ICML 2025AuPair: Golden Example Pairs for Code Repair
29. ICML 2025Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
30. ICML 2025AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
31. ICML 2025Autoencoder-Based Hybrid Replay for Class-Incremental Learning
32. ICML 2025Average Certified Radius is a Poor Metric for Randomized Smoothing
33. ICML 2025Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression
34. ICML 2025Beyond One-Hot Labels: Semantic Mixing for Model Calibration
35. ICML 2025Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
36. ICML 2025BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
37. ICML 2025BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference
38. ICML 2025C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning
39. ICML 2025Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models
40. ICML 2025Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
41. ICML 2025Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
42. ICML 2025Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?
43. ICML 2025CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
44. ICML 2025Channel Normalization for Time Series Channel Identification
45. ICML 2025CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
46. ICML 2025COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering
47. ICML 2025CommVQ: Commutative Vector Quantization for KV Cache Compression
48. ICML 2025Conformity Score Averaging for Classification
49. ICML 2025Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
50. ICML 2025ConText: Driving In-context Learning for Text Removal and Segmentation

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。