End-to-End Driving papers, 2023–2026
E2E driving policies
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 161 papers are tagged with this topic.
Key findings
- End-to-End Driving went from 33 papers in 2023 to 58 in 2026, roughly 1.8x in three years.
- CVPR publishes the most End-to-End Driving work: 71 papers from 2023 to 2026, 44% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 0 in 2023 to 11 in 2026.
- Among the 5 topics under Autonomous Driving, it ranks #5 by 2026 paper count; the fastest grower in the group, Motion Planning, is up 2.4x versus 1.8x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 9 | 3 | 8 | 13 | 33 |
| 2024 | 8 | 1 | 3 | 19 | 31 |
| 2025 | 18 | 5 | 4 | 12 | 39 |
| 2026 | 15 | 12 | 4 | 27 | 58 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
- ICML 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
- ICLR 2026RAP: 3D Rasterization Augmented End-to-End Planning
- CVPR 2026Bias at the End of the Score
- NeurIPS 2025Embodied Cognition Augmented End2End Autonomous Driving
- ICML 2025GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
- ICLR 2025MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
- CVPR 2025Bridging Past and Future: End-to-End Autonomous Driving with Historical Prediction and Planning
- NeurIPS 2024Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
- ICML 2024Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence
- ICLR 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
- CVPR 2024HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
- NeurIPS 2023[Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
- ICML 2023End-to-end Differentiable Clustering with Associative Memories
- ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
- CVPR 2023End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve
- NeurIPS 2026On the Existence of Uniformly Optimal Policies in MDPs under Epistemic Uncertainty
- ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
- ICLR 2026THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS
- CVPR 2026LEAD Minimizing Learner-Expert Asymmetry in End-to-End Driving
All End-to-End Driving papers
21 papers, page 1 of 1
- ICLR 2026AutoDV: An End-to-End Deep Learning Model for High-Dimensional Data Visualization
- ICLR 2026BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
- ICLR 2026ComPhy: Composing Physical Models with end-to-end Alignment
- ICLR 2026DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
- ICLR 2026Muon Outperforms Adam in Tail-End Associative Memory Learning
- ICLR 2026Optimal transport unlocks end-to-end learning for single-molecule localization
- ICLR 2026RAP: 3D Rasterization Augmented End-to-End Planning
- ICLR 2026RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras
- ICLR 2026ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
- ICLR 2026THE END OF MANUAL DECODING: TOWARDS TRULY END-TO-END LANGUAGE MODELS
- ICLR 2026Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models
- ICLR 2026VADv2: End-to-End Autonomous Driving via Probabilistic Planning
- ICLR 2025DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
- ICLR 2025Enhancing End-to-End Autonomous Driving with Latent World Model
- ICLR 2025MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
- ICLR 2025Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
- ICLR 2025PETRA: Parallel End-to-end Training with Reversible Architectures
- ICLR 2024DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
- ICLR 2023DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
- ICLR 2023E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
- ICLR 2023Systematic Rectification of Language Models via Dead-end Analysis
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FAQ
- How many End-to-End Driving papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 161 in total: 33 in 2023, 31 in 2024, 39 in 2025, 58 in 2026.
- How many End-to-End Driving papers are at NeurIPS 2026?
- NeurIPS 2026 has 15 End-to-End Driving papers, versus 18 the year before.
- How many End-to-End Driving papers are at ICLR 2026?
- ICLR 2026 has 12 End-to-End Driving papers, versus 5 the year before.
- How many End-to-End Driving papers are at ICML 2026?
- ICML 2026 has 4 End-to-End Driving papers, versus 4 the year before.
- How many End-to-End Driving papers are at CVPR 2026?
- CVPR 2026 has 27 End-to-End Driving papers, versus 12 the year before.
- Which conference publishes the most End-to-End Driving papers?
- CVPR, with 71 papers from 2023 to 2026.