仿真到真实论文趋势 2023–2026

迁移与域随机化

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 629 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

仿真到真实论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202357183252159
202434203757148
202533161851118
202675333363204

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

全部仿真到真实论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 199 篇，第 4 / 4 页

  1. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
  2. NeurIPS 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
  3. NeurIPS 2023Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
  4. NeurIPS 2023CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
  5. NeurIPS 2023Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
  6. NeurIPS 2023DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation
  7. NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
  8. NeurIPS 2023Does progress on ImageNet transfer to real-world datasets?
  9. NeurIPS 2023EgoEnv: Human-centric environment representations from egocentric video
  10. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  11. NeurIPS 2023Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
  12. NeurIPS 2023Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
  13. NeurIPS 2023First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
  14. NeurIPS 2023Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
  15. NeurIPS 2023High Precision Causal Model Evaluation with Conditional Randomization
  16. NeurIPS 2023How to Data in Datathons
  17. NeurIPS 2023Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
  18. NeurIPS 2023Learning to Augment Distributions for Out-of-distribution Detection
  19. NeurIPS 2023Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
  20. NeurIPS 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
  21. NeurIPS 2023Minimax-Optimal Location Estimation
  22. NeurIPS 2023MixFormerV2: Efficient Fully Transformer Tracking
  23. NeurIPS 2023MomentDiff: Generative Video Moment Retrieval from Random to Real
  24. NeurIPS 2023On student-teacher deviations in distillation: does it pay to disobey?
  25. NeurIPS 2023On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
  26. NeurIPS 2023OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
  27. NeurIPS 2023Optimal approximation using complex-valued neural networks
  28. NeurIPS 2023Optimization or Architecture: How to Hack Kalman Filtering
  29. NeurIPS 2023PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile
  30. NeurIPS 2023Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
  31. NeurIPS 2023Real-World Image Super-Resolution as Multi-Task Learning
  32. NeurIPS 2023RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
  33. NeurIPS 2023Robust Lipschitz Bandits to Adversarial Corruptions
  34. NeurIPS 2023Saddle-to-Saddle Dynamics in Diagonal Linear Networks
  35. NeurIPS 2023Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
  36. NeurIPS 2023Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
  37. NeurIPS 2023Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees
  38. NeurIPS 2023Subspace Identification for Multi-Source Domain Adaptation
  39. NeurIPS 2023Synthetic-to-Real Pose Estimation with Geometric Reconstruction
  40. NeurIPS 2023The s-value: evaluating stability with respect to distributional shifts
  41. NeurIPS 2023The Waymo Open Sim Agents Challenge
  42. NeurIPS 2023Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
  43. NeurIPS 2023Trading-off price for data quality to achieve fair online allocation
  44. NeurIPS 2023trajdata: A Unified Interface to Multiple Human Trajectory Datasets
  45. NeurIPS 2023UDC-SIT: A Real-World Dataset for Under-Display Cameras
  46. NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
  47. NeurIPS 2023Unexpected Improvements to Expected Improvement for Bayesian Optimization
  48. NeurIPS 2023UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition
  49. NeurIPS 2023Unleashing the Power of Randomization in Auditing Differentially Private ML

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 查仿真到真实在 CVPR 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": "sim-to-real"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇仿真到真实论文？
共 629 篇，按年份分别是 2023 年 159 篇、2024 年 148 篇、2025 年 118 篇、2026 年 204 篇。
NeurIPS 2026 有多少篇仿真到真实论文？
NeurIPS 2026 有 75 篇仿真到真实论文，上一届是 33 篇。
ICLR 2026 有多少篇仿真到真实论文？
ICLR 2026 有 33 篇仿真到真实论文，上一届是 16 篇。
ICML 2026 有多少篇仿真到真实论文？
ICML 2026 有 33 篇仿真到真实论文，上一届是 18 篇。
CVPR 2026 有多少篇仿真到真实论文？
CVPR 2026 有 63 篇仿真到真实论文，上一届是 51 篇。
哪个会议的仿真到真实论文最多？
CVPR，2023–2026 年共 223 篇。

「机器人与具身」下的其他主题