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 1 / 25 页
- ICML 2026(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games
- ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
- ICML 2026$\mathcal{O}(\log N)$ Latent Dimension Suffices for Universal Approximation of Permutation-invariant Function
- ICML 2026$\phi$-Balancing for Mixture-of-Experts Training
- ICML 2026$\texttt{MetaDistill}$: Unlocking the Performance Ceiling for Pretrained Optimizers
- ICML 2026A Bi-metric Framework for Efficient Nearest Neighbor Search
- ICML 2026A Direct Approach for Handling Contextual Bandits with Latent State Dynamics
- ICML 2026A Direct Second-Order Method for Solving Two-Player Zero-Sum Games
- ICML 2026A Hypertoroidal Covering for Perfect Color Equivariance
- ICML 2026A KL-regularization framework for learning to plan with adaptive priors
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICML 2026A proximal ADMM for multiblock problems with block anti-upper triangular constraints
- ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
- ICML 2026A Solver-Free Training Method for Predict-then-Optimize
- ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
- ICML 2026A Task-centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula
- ICML 2026A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
- ICML 2026A Unified Framework for Deep Hypergraph Clustering Beyond Homophily
- ICML 2026ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
- ICML 2026Active Regression for Single-Index Models with Unknown Link Functions
- ICML 2026Active Timepoint Selection for Learning Measure-Valued Trajectories
- ICML 2026AdamO: A Collapse-Suppressed Optimizer for Offline RL
- ICML 2026Adaptive Bandit Algorithms for Contextual Matching Markets
- ICML 2026Adaptive Multiscale Binary Expansion Tests for Independence
- ICML 2026Adaptive Querying with AI Persona Priors
- ICML 2026Aitchison Embeddings for Learning Compositional Graph Representations
- ICML 2026Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
- ICML 2026Amortized Simulation-Based Inference in Generalized Bayes via Neural Posterior Estimation
- ICML 2026An Asymmetric Latent Factorization-of-Tensors Model for Relation Analysis
- ICML 2026An Exterior Method for Nonnegative Matrix Factorization
- ICML 2026An Odd Estimator for Shapley Values
- ICML 2026AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification
- ICML 2026ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models
- ICML 2026Anti-Aliasing Matters: A Dynamic Network for Time Series Forecasting
- ICML 2026Any2Any: Unified Arbitrary Modality Translation for Remote Sensing
- ICML 2026API: Adaptive Prototype Imputation for Incomplete Multimodal Sentiment Analysis
- ICML 2026Approximation Bounds for Transformer Networks with Application to Regression
- ICML 2026Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
- ICML 2026Asymmetric Contrastive Objectives for Efficient Phenotypic Screening
- ICML 2026Automatic Layer Selection for Hallucination Detection
- ICML 2026Avoid What You Know: Divergent Trajectory Balance for GFlowNets
- ICML 2026Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
- ICML 2026Batch Normalization for Neural Networks on Complex Domains
- ICML 2026Batched First-Order Methods for Parallel LP Solving in MIP
- ICML 2026Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
- ICML 2026Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
- ICML 2026Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR
- ICML 2026Beyond Rewards in RL for Cyber Defence
- ICML 2026Beyond Softmax: A Natural Parameterization for Categorical Random Variables
- ICML 2026Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services
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。