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 5,881 篇,第 115 / 118 页

  1. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
  2. NeurIPS 2023Composable Coresets for Determinant Maximization: Greedy is Almost Optimal
  3. NeurIPS 2023Computational Guarantees for Doubly Entropic Wasserstein Barycenters
  4. NeurIPS 2023Conformal Prediction Sets for Ordinal Classification
  5. NeurIPS 2023Constant Approximation for Individual Preference Stable Clustering
  6. NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
  7. NeurIPS 2023Convergence of Alternating Gradient Descent for Matrix Factorization
  8. NeurIPS 2023COOM: A Game Benchmark for Continual Reinforcement Learning
  9. NeurIPS 2023Coordinating Distributed Example Orders for Provably Accelerated Training
  10. NeurIPS 2023CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
  11. NeurIPS 2023Data Selection for Language Models via Importance Resampling
  12. NeurIPS 2023Deep Equilibrium Based Neural Operators for Steady-State PDEs
  13. NeurIPS 2023Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
  14. NeurIPS 2023DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
  15. NeurIPS 2023Depth-discriminative Metric Learning for Monocular 3D Object Detection
  16. NeurIPS 2023DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing
  17. NeurIPS 2023Diffusion Representation for Asymmetric Kernels via Magnetic Transform
  18. NeurIPS 2023DISCS: A Benchmark for Discrete Sampling
  19. NeurIPS 2023Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering
  20. NeurIPS 2023DynaDojo: An Extensible Benchmarking Platform for Scalable Dynamical System Identification
  21. NeurIPS 2023Dynamically Masked Discriminator for GANs
  22. NeurIPS 2023DynPoint: Dynamic Neural Point For View Synthesis
  23. NeurIPS 2023Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
  24. NeurIPS 2023Efficient Subgame Refinement for Extensive-form Games
  25. NeurIPS 2023Energy-based learning algorithms for analog computing: a comparative study
  26. NeurIPS 2023Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
  27. NeurIPS 2023Entropy-based Training Methods for Scalable Neural Implicit Samplers
  28. NeurIPS 2023Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
  29. NeurIPS 2023Error Bounds for Learning with Vector-Valued Random Features
  30. NeurIPS 2023ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
  31. NeurIPS 2023Experimental Designs for Heteroskedastic Variance
  32. NeurIPS 2023Expressivity-Preserving GNN Simulation
  33. NeurIPS 2023False Discovery Proportion control for aggregated Knockoffs
  34. NeurIPS 2023Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits
  35. NeurIPS 2023Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
  36. NeurIPS 2023Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
  37. NeurIPS 2023Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
  38. NeurIPS 2023Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers
  39. NeurIPS 2023Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
  40. NeurIPS 2023Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
  41. NeurIPS 2023Flow Matching for Scalable Simulation-Based Inference
  42. NeurIPS 2023Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
  43. NeurIPS 2023Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
  44. NeurIPS 2023Focused Transformer: Contrastive Training for Context Scaling
  45. NeurIPS 2023Formalizing locality for normative synaptic plasticity models
  46. NeurIPS 2023Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
  47. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
  48. NeurIPS 2023GEX: A flexible method for approximating influence via Geometric Ensemble
  49. NeurIPS 2023Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
  50. NeurIPS 2023Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces

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"}

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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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