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

每年论文数

各会议论文数

按年份和会议统计

驾驶仿真论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

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

全部驾驶仿真论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,214 篇，第 7 / 25 页

  1. ICML 2026Single-Rollout Hidden-State Dynamics for Training-Free RLVR Data Selection
  2. ICML 2026SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
  3. ICML 2026SLAE: Strictly Local All-atom Environment for Protein Representation
  4. ICML 2026SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
  5. ICML 2026Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
  6. ICML 2026SoftBinary Coding: A New Information-Theoretic Paradigm for Neural Compression via Fast Channel Simulation
  7. ICML 2026Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling
  8. ICML 2026Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
  9. ICML 2026SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs
  10. ICML 2026Spatially-Regularized Entropy for Discriminative Token Merging in Fine-Grained Re-Identification
  11. ICML 2026Spectra: Rethinking Optimizers for LLMs Under Spectral Anisotropy
  12. ICML 2026SPEED: Sharpened-Teacher Distillation for Parallel Decoding of Diffusion Language Models
  13. ICML 2026SPUR: Scale-Partitioned Uncertainty Rectification for Robust UAV-on-UAV Interception
  14. ICML 2026Stabilizing the Q-Gradient Field for Policy Smoothness in Actor-Critic Methods
  15. ICML 2026Stable Spectral Copula Alignment for Robust Multimodal Learning
  16. ICML 2026Statistically Calibrated Scaling for Token Merging in Transformers
  17. ICML 2026Step-Level Sparse Autoencoder for Reasoning Process Interpretation
  18. ICML 2026STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation
  19. ICML 2026STLA: Spatiotemporal Lookahead Alignment for Post-Training Quantization
  20. ICML 2026Stochastic Sparse Attention for Memory-Bound Inference
  21. ICML 2026Supervised Guidance Training for Infinite-Dimensional Diffusion Models
  22. ICML 2026Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
  23. ICML 2026TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning
  24. ICML 2026Tail Annealing for Heavy-Tailed Flow Matching
  25. ICML 2026Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference
  26. ICML 2026Temporal Weighted Encoding: Towards Maximal-Capacity Spike Coding for ANN–SNN Conversion
  27. ICML 2026Testing For Distribution Shifts with Conditional Conformal Test Martingales
  28. ICML 2026TF-FACE: Time-Frequency Fusion Learning via Frequency-Domain Adaptive and Controllable Enhancement for Trajectory Prediction
  29. ICML 2026The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL
  30. ICML 2026The Unlearnability Phenomenon in RLVR for Language Models
  31. ICML 2026Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
  32. ICML 2026Tightening the Score Matching Gap for Diffusion Models
  33. ICML 2026Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
  34. ICML 2026TileSparse: Arithmetic-Intensity-Aware Sparse Attention for Compute-Bound LLM Decoding
  35. ICML 2026TimeLAVA: Learning-Agnostic Valuation for Time Series Data
  36. ICML 2026Tokenised Flow Matching for Hierarchical Simulation Based Inference
  37. ICML 2026Torus Graphs for Large Scale Neural Phase Analysis
  38. ICML 2026Towards Solving the Gilbert-Pollak Conjecture via Large Language Models
  39. ICML 2026TRACER: Persistent Regularization for Robust Multimodal Finetuning
  40. ICML 2026Tractable Expected Information Gains for Exponential Family Posteriors
  41. ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
  42. ICML 2026Trajectory Stitching for Solving Inverse Problems with Flow-Based Models
  43. ICML 2026Trajectory-Level Data Augmentation for Offline Reinforcement Learning
  44. ICML 2026Trajectory-Level Speculative Decoding for Diffusion Language Models
  45. ICML 2026TrustworthyQENN: A Quantum Evidential Neural Network Based on Complex-Valued Contrastive Learning for Uncertainty Pattern Classification
  46. ICML 2026Tvcache: A Tool-Value Cache for Post-Training LLM Agents
  47. ICML 2026TwinQuant: Learnable Subspace Decomposition for 4-Bit LLM Quantization
  48. ICML 2026Uncertainty-Constrained Trustworthiness for Graph Learning
  49. ICML 2026UniMapping: Unified SLAM Framework for Map-Centric Embodied Perception
  50. ICML 2026Unsupervised Neural Langevin Sampler for Mixed Integer Linear Programming

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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