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
- 驾驶仿真论文从 2023 年的 969 篇增长到 2026 年的 2,200 篇,三年间扩大到约 2.3 倍。
- NeurIPS 是发驾驶仿真论文最多的会议,2023–2026 年共 2,111 篇,占四个会议总量的 36%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 27 篇增至 2026 年的 205 篇。
- 在「自动驾驶」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的运动规划是 2.4 倍,驾驶仿真是 2.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 219 | 182 | 218 | 350 | 969 |
| 2024 | 410 | 176 | 358 | 364 | 1,308 |
| 2025 | 542 | 228 | 275 | 360 | 1,405 |
| 2026 | 940 | 313 | 363 | 584 | 2,200 |
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
- NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
- CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
- NeurIPS 2025A compressive-expressive communication framework for compositional representations
- ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- ICLR 2025A Truncated Newton Method for Optimal Transport
- CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
- NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
- ICML 2024$H$-Consistency Guarantees for Regression
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
- NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
- ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
- ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
- CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
- NeurIPS 2026A Bitter Lesson for Data Filtering
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
- CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for
全部驾驶仿真论文
共 1,405 篇,第 9 / 29 页
- ICLR 2025Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models
- ICLR 2025ComLoRA: A Competitive Learning Approach for Enhancing LoRA
- ICLR 2025Composable Interventions for Language Models
- ICLR 2025Compositional simulation-based inference for time series
- ICLR 2025Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
- ICLR 2025Convex Formulations for Training Two-Layer ReLU Neural Networks
- ICLR 2025Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
- ICLR 2025CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes
- ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
- ICLR 2025Data Selection via Optimal Control for Language Models
- ICLR 2025DataMan: Data Manager for Pre-training Large Language Models
- ICLR 2025Deconstructing What Makes a Good Optimizer for Autoregressive Language Models
- ICLR 2025Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
- ICLR 2025Deep Linear Probe Generators for Weight Space Learning
- ICLR 2025Deep Random Features for Scalable Interpolation of Spatiotemporal Data
- ICLR 2025DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks
- ICLR 2025Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
- ICLR 2025Differentially private learners for heterogeneous treatment effects
- ICLR 2025DiffPuter: Empowering Diffusion Models for Missing Data Imputation
- ICLR 2025Diffusion State-Guided Projected Gradient for Inverse Problems
- ICLR 2025Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
- ICLR 2025DisPose: Disentangling Pose Guidance for Controllable Human Image Animation
- ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
- ICLR 2025Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference
- ICLR 2025Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
- ICLR 2025Distribution-Free Data Uncertainty for Neural Network Regression
- ICLR 2025DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
- ICLR 2025DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
- ICLR 2025DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
- ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
- ICLR 2025EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models
- ICLR 2025Equivariant Neural Functional Networks for Transformers
- ICLR 2025Error-quantified Conformal Inference for Time Series
- ICLR 2025Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
- ICLR 2025Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
- ICLR 2025Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
- ICLR 2025Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
- ICLR 2025FIG: Flow with Interpolant Guidance for Linear Inverse Problems
- ICLR 2025Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
- ICLR 2025From Commands to Prompts: LLM-based Semantic File System for AIOS
- ICLR 2025Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition
- ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
- ICLR 2025Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
- ICLR 2025Glad: A Streaming Scene Generator for Autonomous Driving
- ICLR 2025GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
- ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
- ICLR 2025Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
- ICLR 2025Hidden in the Noise: Two-Stage Robust Watermarking for Images
- ICLR 2025Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
- ICLR 2025HOPE for a Robust Parameterization of Long-memory State Space Models
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"}
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。