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 2,111 篇，第 20 / 43 页

  1. NeurIPS 2025A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments
  2. NeurIPS 2025A Latent Multilayer Graphical Model For Complex, Interdependent Systems
  3. NeurIPS 2025A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows
  4. NeurIPS 2025A Physics-preserved Transfer Learning Method for Differential Equations
  5. NeurIPS 2025A Practical Guide for Incorporating Symmetry in Diffusion Policy
  6. NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
  7. NeurIPS 2025A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization
  8. NeurIPS 2025A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
  9. NeurIPS 2025A Single-Swap Local Search Algorithm for k-Means of Lines
  10. NeurIPS 2025A Stable Whitening Optimizer for Efficient Neural Network Training
  11. NeurIPS 2025A Sustainable AI Economy Needs Data Deals That Work for Generators
  12. NeurIPS 2025A Temporal Difference Method for Stochastic Continuous Dynamics
  13. NeurIPS 2025A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation
  14. NeurIPS 2025A unified framework for establishing the universal approximation of transformer-type architectures
  15. NeurIPS 2025A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
  16. NeurIPS 2025Accelerated Evolving Set Processes for Local PageRank Computation
  17. NeurIPS 2025Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
  18. NeurIPS 2025Accelerating data-driven algorithm selection for combinatorial partitioning problems
  19. NeurIPS 2025Accelerating Visual-Policy Learning through Parallel Differentiable Simulation
  20. NeurIPS 2025ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
  21. NeurIPS 2025AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
  22. NeurIPS 2025Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
  23. NeurIPS 2025Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
  24. NeurIPS 2025Activation-Guided Consensus Merging for Large Language Models
  25. NeurIPS 2025Active Measurement: Efficient Estimation at Scale
  26. NeurIPS 2025Activity Pruning for Efficient Spiking Neural Networks
  27. NeurIPS 2025Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
  28. NeurIPS 2025Adaptive Time Encoding for Irregular Multivariate Time-Series Classification
  29. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
  30. NeurIPS 2025Advancing Expert Specialization for Better MoE
  31. NeurIPS 2025AI Testing Should Account for Sophisticated Strategic Behaviour
  32. NeurIPS 2025AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
  33. NeurIPS 2025AlphaFold Database Debiasing for Robust Inverse Folding
  34. NeurIPS 2025AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
  35. NeurIPS 2025An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification
  36. NeurIPS 2025An Effective Levelling Paradigm for Unlabeled Scenarios
  37. NeurIPS 2025An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction
  38. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
  39. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
  40. NeurIPS 2025AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
  41. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
  42. NeurIPS 2025Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
  43. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
  44. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
  45. NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
  46. NeurIPS 2025AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
  47. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
  48. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
  49. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
  50. NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning

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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