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

每年论文数

各会议论文数

按年份和会议统计

驾驶仿真论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219182218350969
20244101763583641,308
20255422282753601,405
20269403133635842,200

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

全部驾驶仿真论文

共 2,111 篇,第 21 / 43 页

  1. NeurIPS 2025Behavior Injection: Preparing Language Models for Reinforcement Learning
  2. NeurIPS 2025Bernstein–von Mises for Adaptively Collected Data
  3. NeurIPS 2025Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
  4. NeurIPS 2025Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
  5. NeurIPS 2025Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
  6. NeurIPS 2025Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
  7. NeurIPS 2025Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
  8. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
  9. NeurIPS 2025BLEUBERI: BLEU is a surprisingly effective reward for instruction following
  10. NeurIPS 2025Block Coordinate Descent for Neural Networks Provably Finds Global Minima
  11. NeurIPS 2025Block-Biased Mamba for Long-Range Sequence Processing
  12. NeurIPS 2025Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving
  13. NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
  14. NeurIPS 2025BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
  15. NeurIPS 2025Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
  16. NeurIPS 2025Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
  17. NeurIPS 2025Breaking the Discretization Barrier of Continuous Physics Simulation Learning
  18. NeurIPS 2025Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
  19. NeurIPS 2025Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
  20. NeurIPS 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
  21. NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
  22. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
  23. NeurIPS 2025Chain-of-Model Learning for Language Model
  24. NeurIPS 2025Channel Matters: Estimating Channel Influence for Multivariate Time Series
  25. NeurIPS 2025Checklists Are Better Than Reward Models For Aligning Language Models
  26. NeurIPS 2025Class-wise Balancing Data Replay for Federated Class-Incremental Learning
  27. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
  28. NeurIPS 2025CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
  29. NeurIPS 2025CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates
  30. NeurIPS 2025Compact Memory for Continual Logistic Regression
  31. NeurIPS 2025Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms
  32. NeurIPS 2025Compute-Optimal Scaling for Value-Based Deep RL
  33. NeurIPS 2025Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
  34. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
  35. NeurIPS 2025Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe
  36. NeurIPS 2025Consistency Conditions for Differentiable Surrogate Losses
  37. NeurIPS 2025Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
  38. NeurIPS 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
  39. NeurIPS 2025Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
  40. NeurIPS 2025Continuous Diffusion Model for Language Modeling
  41. NeurIPS 2025Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
  42. NeurIPS 2025Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
  43. NeurIPS 2025Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
  44. NeurIPS 2025Coresets for Clustering Under Stochastic Noise
  45. NeurIPS 2025CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
  46. NeurIPS 2025Cost-Aware Contrastive Routing for LLMs
  47. NeurIPS 2025Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning
  48. NeurIPS 2025Covariate-moderated Empirical Bayes Matrix Factorization
  49. NeurIPS 2025CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
  50. NeurIPS 2025CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding

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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"}

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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。

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