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 1,214 篇,第 3 / 25 页
- ICML 2026DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient Finetuning
- ICML 2026DFlash: Block Diffusion for Flash Speculative Decoding
- ICML 2026Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
- ICML 2026Discrete Survival Knowledge Distillation for Competing Risks Analysis
- ICML 2026Distribution Alignment for One-Shot Federated Learning via Optimal Transport
- ICML 2026DLLMQuant: A Post-Training Quantization Framework Tailored for Diffusion-Based Large Language Models
- ICML 2026DOT-MoE: Differentiable Optimal Transport for MoEfication
- ICML 2026Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
- ICML 2026Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
- ICML 2026Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
- ICML 2026Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection
- ICML 2026ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
- ICML 2026Edit-Based Refinement for Parallel Masked Diffusion Language Models
- ICML 2026Efficient Mismatch-Tolerant Coding for Model-Driven Compression
- ICML 2026Efficient Transformer Attention for SNNs via Hadamard Simplification
- ICML 2026Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
- ICML 2026EntroKV: Entropy-Guided Dynamic Budget Allocation for KV-Cache Compression
- ICML 2026EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
- ICML 2026EquiCAD: A Geometric Equivariant Neural Network for 3D Shape Classification
- ICML 2026Equilibrium Propagation for Non-Conservative Systems
- ICML 2026Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
- ICML 2026Euler–Poincaré Neural Dynamics: A Geometric-Mechanics Framework for Scientific Simulation
- ICML 2026Evaluating Sample Utility for Efficient Data Selection by Mimicking Model Weights
- ICML 2026EvReflection: Event-Driven Micro-Dynamics for Reflection Removal
- ICML 2026Exact Functional ANOVA Decomposition for Categorical Inputs Models
- ICML 2026Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
- ICML 2026Exploiting weight-space symmetries for approximating curvature
- ICML 2026Expressivity-Efficiency Tradeoffs for Hybrid Sequence Models
- ICML 2026Factor-Wise Homogeneity of Slot-Attention for Continual Object-Centric Learning
- ICML 2026FAFO: Lossy KV Cache Compression for Lossless Inference Acceleration via Draftless Fumble Decoding
- ICML 2026FedScar: Correcting Geometric Bias for Flatness-Consistent Federated Learning
- ICML 2026FedUSD: Unbiased Synthetic Data for Federated Learning
- ICML 2026FIPN: Forward Self-Organizing Interpretable Polynomial Networks for Time Series Forecasting
- ICML 2026FlashOptim: Optimizers for Memory-Efficient Training
- ICML 2026FlatLab: A Unified Methodology Framework and Simulation-Based Benchmark for Robotic Manipulation of Flat Objects
- ICML 2026Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
- ICML 2026Flowers: A Warp Drive for Neural PDE Solvers
- ICML 2026Focusing: View-Consistent Sparse Voxels for Efficient 3D VAE Training
- ICML 2026ForensicConcept: Transferable Forensic Concepts for AIGI Detection
- ICML 2026Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
- ICML 2026FRACTAL: State Space Model with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
- ICML 2026Frequency Matching in Spiking Neural Networks for mmWave Sensing
- ICML 2026From Extrinsic to Intrinsic: Geodesic-Guided Representation Learning for 3D Geometric Data
- ICML 2026FunCQNet: A Functional Censored Quantile Neural Network for Predicting Long-Term Post-Transplant Kidney Survival
- ICML 2026FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
- ICML 2026GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
- ICML 2026Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs
- ICML 2026Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
- ICML 2026GEM: Geometric Entropy Mixing for Optimal LLM Data Curation
- ICML 2026Geometric Coherence Learning for Structuring Value Functions in Plain MDPs
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。