驾驶仿真论文趋势 2023–2026

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。

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 542 篇，第 2 / 11 页

51. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
52. NeurIPS 2025Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses
53. NeurIPS 2025Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
54. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
55. NeurIPS 2025Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra
56. NeurIPS 2025AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
57. NeurIPS 2025Attribution-Driven Adaptive Token Pruning for Transformers
58. NeurIPS 2025Availability-aware Sensor Fusion via Unified Canonical Space
59. NeurIPS 2025Bandit Guided Submodular Curriculum for Adaptive Subset Selection
60. NeurIPS 2025BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
61. NeurIPS 2025Behavior Injection: Preparing Language Models for Reinforcement Learning
62. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
63. NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
64. NeurIPS 2025Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
65. NeurIPS 2025Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
66. NeurIPS 2025Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
67. NeurIPS 2025Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
68. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
69. NeurIPS 2025BLEUBERI: BLEU is a surprisingly effective reward for instruction following
70. NeurIPS 2025Block Coordinate Descent for Neural Networks Provably Finds Global Minima
71. NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
72. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
73. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
74. NeurIPS 2025BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
75. NeurIPS 2025Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
76. NeurIPS 2025Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
77. NeurIPS 2025Breaking the Discretization Barrier of Continuous Physics Simulation Learning
78. NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
79. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
80. NeurIPS 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
81. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
82. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
83. NeurIPS 2025Chain-of-Model Learning for Language Model
84. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
85. NeurIPS 2025Checklists Are Better Than Reward Models For Aligning Language Models
86. NeurIPS 2025Class-wise Balancing Data Replay for Federated Class-Incremental Learning
87. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
88. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
89. NeurIPS 2025CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates
90. NeurIPS 2025Compact Memory for Continual Logistic Regression
91. NeurIPS 2025Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
92. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
93. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
94. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
95. NeurIPS 2025Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
96. NeurIPS 2025Consistency Conditions for Differentiable Surrogate Losses
97. NeurIPS 2025Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
98. NeurIPS 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
99. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
100. NeurIPS 2025Continuous Diffusion Model for Language Modeling

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。