端到端驾驶论文趋势 2023–2026

E2E 驾驶策略

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 161 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

端到端驾驶论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20239381333
20248131931
202518541239
2026151242758

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

全部端到端驾驶论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 50 篇，第 1 / 1 页

  1. NeurIPS 2026$\chi$-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
  2. NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
  3. NeurIPS 2026BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
  4. NeurIPS 2026Beyond Masked Sparsity: SNACK Enables Truly Sparse Neural Networks on GPU
  5. NeurIPS 2026Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
  6. NeurIPS 2026DriveMind: Mind-Evolving Belief Tracking for Closed-Loop Autonomous Driving
  7. NeurIPS 2026DriveSpatial: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
  8. NeurIPS 2026Driving on Memory
  9. NeurIPS 2026HiFloat4 Format for End-To-End Reinforcement Learning Post-Training of Large Language Models
  10. NeurIPS 2026LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
  11. NeurIPS 2026On the Existence of Uniformly Optimal Policies in MDPs under Epistemic Uncertainty
  12. NeurIPS 2026TopoCurve: Geometry-Aware Topology Reasoning via Bézier Curves in Autonomous Driving
  13. NeurIPS 2026Towards Generalizable Data Valuation: Learning an End-to-end Deep Model to Compute Shapley Values
  14. NeurIPS 2026Trajectory Evaluation via Rollout-Free World Model for End-to-end Autonomous Driving
  15. NeurIPS 2026TwinFlux: One-Step Discrete-Continuous Flow for End-to-End Autonomous Driving
  16. NeurIPS 2025Causal LLM Routing: End-to-End Regret Minimization from Observational Data
  17. NeurIPS 2025DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
  18. NeurIPS 2025DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
  19. NeurIPS 2025DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
  20. NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
  21. NeurIPS 2025From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
  22. NeurIPS 2025Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution
  23. NeurIPS 2025GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving
  24. NeurIPS 2025LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
  25. NeurIPS 2025Overcoming Challenges of Long-Horizon Prediction in Driving World Models
  26. NeurIPS 2025Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
  27. NeurIPS 2025Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction
  28. NeurIPS 2025RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning
  29. NeurIPS 2025Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
  30. NeurIPS 2025Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
  31. NeurIPS 2025SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
  32. NeurIPS 2025SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
  33. NeurIPS 2025VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
  34. NeurIPS 2024Autonomous Driving with Spiking Neural Networks
  35. NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
  36. NeurIPS 2024E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
  37. NeurIPS 2024End-to-End Ontology Learning with Large Language Models
  38. NeurIPS 2024Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
  39. NeurIPS 2024Learning to be Smooth: An End-to-End Differentiable Particle Smoother
  40. NeurIPS 2024Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
  41. NeurIPS 2024OpenCDA-Loop: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception
  42. NeurIPS 2023[Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
  43. NeurIPS 2023An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination
  44. NeurIPS 2023Does Visual Pretraining Help End-to-End Reasoning?
  45. NeurIPS 2023Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
  46. NeurIPS 2023Kissing to Find a Match: Efficient Low-Rank Permutation Representation
  47. NeurIPS 2023Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
  48. NeurIPS 2023Optimization or Architecture: How to Hack Kalman Filtering
  49. NeurIPS 2023Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
  50. NeurIPS 2023Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees

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 查端到端驾驶在 CVPR 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": "end-to-end-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端到端驾驶论文？
共 161 篇，按年份分别是 2023 年 33 篇、2024 年 31 篇、2025 年 39 篇、2026 年 58 篇。
NeurIPS 2026 有多少篇端到端驾驶论文？
NeurIPS 2026 有 15 篇端到端驾驶论文，上一届是 18 篇。
ICLR 2026 有多少篇端到端驾驶论文？
ICLR 2026 有 12 篇端到端驾驶论文，上一届是 5 篇。
ICML 2026 有多少篇端到端驾驶论文？
ICML 2026 有 4 篇端到端驾驶论文，上一届是 4 篇。
CVPR 2026 有多少篇端到端驾驶论文？
CVPR 2026 有 27 篇端到端驾驶论文，上一届是 12 篇。
哪个会议的端到端驾驶论文最多？
CVPR，2023–2026 年共 71 篇。

「自动驾驶」下的其他主题