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 1,308 篇，第 10 / 27 页

  1. ICLR 2024Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
  2. ICLR 2024Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
  3. ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
  4. ICLR 2024Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
  5. ICLR 2024LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
  6. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
  7. ICLR 2024Massive Editing for Large Language Models via Meta Learning
  8. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
  9. ICLR 2024Memory-Consistent Neural Networks for Imitation Learning
  10. ICLR 2024Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
  11. ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
  12. ICLR 2024Most discriminative stimuli for functional cell type clustering
  13. ICLR 2024Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
  14. ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
  15. ICLR 2024Neural Auto-designer for Enhanced Quantum Kernels
  16. ICLR 2024NfgTransformer: Equivariant Representation Learning for Normal-form Games
  17. ICLR 2024NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
  18. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
  19. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
  20. ICLR 2024On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
  21. ICLR 2024On the Learnability of Watermarks for Language Models
  22. ICLR 2024On the Limitations of Temperature Scaling for Distributions with Overlaps
  23. ICLR 2024On the Reliability of Watermarks for Large Language Models
  24. ICLR 2024On the Stability of Expressive Positional Encodings for Graphs
  25. ICLR 2024One Forward is Enough for Neural Network Training via Likelihood Ratio Method
  26. ICLR 2024Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
  27. ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
  28. ICLR 2024Out-of-Variable Generalisation for Discriminative Models
  29. ICLR 2024OWL: A Large Language Model for IT Operations
  30. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
  31. ICLR 2024Path Choice Matters for Clear Attributions in Path Methods
  32. ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
  33. ICLR 2024Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
  34. ICLR 2024PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
  35. ICLR 2024Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
  36. ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
  37. ICLR 2024Polynomial Width is Sufficient for Set Representation with High-dimensional Features
  38. ICLR 2024Post-hoc bias scoring is optimal for fair classification
  39. ICLR 2024Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
  40. ICLR 2024Prompt Gradient Projection for Continual Learning
  41. ICLR 2024Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
  42. ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
  43. ICLR 2024ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
  44. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
  45. ICLR 2024Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
  46. ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
  47. ICLR 2024Robustifying State-space Models for Long Sequences via Approximate Diagonalization
  48. ICLR 2024SE(3)-Stochastic Flow Matching for Protein Backbone Generation
  49. ICLR 2024Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
  50. ICLR 2024SEPT: Towards Efficient Scene Representation Learning for Motion Prediction

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。

「自动驾驶」下的其他主题