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 628 篇，第 12 / 13 页

  1. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  2. ICML 2023Federated Heavy Hitter Recovery under Linear Sketching
  3. ICML 2023Formalizing Preferences Over Runtime Distributions
  4. ICML 2023From Perception to Programs: Regularize, Overparameterize, and Amortize
  5. ICML 2023From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks
  6. ICML 2023Identifiability of Label Noise Transition Matrix
  7. ICML 2023Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows
  8. ICML 2023Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
  9. ICML 2023Multiplier Bootstrap-based Exploration
  10. ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
  11. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
  12. ICML 2023One-sided Matrix Completion from Two Observations Per Row
  13. ICML 2023Out-of-Domain Robustness via Targeted Augmentations
  14. ICML 2023Regret Minimization and Convergence to Equilibria in General-sum Markov Games
  15. ICML 2023Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
  16. ICML 2023Robust Budget Pacing with a Single Sample
  17. ICML 2023Safe Offline Reinforcement Learning with Real-Time Budget Constraints
  18. ICML 2023Settling the Reward Hypothesis
  19. ICML 2023Stable Estimation of Heterogeneous Treatment Effects
  20. ICML 2023Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data
  21. ICML 2023Vector-Valued Control Variates
  22. NeurIPS 2023[Re] Pure Noise to the Rescue of Insufficient Data
  23. NeurIPS 2023A Metadata-Driven Approach to Understand Graph Neural Networks
  24. NeurIPS 2023A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
  25. NeurIPS 2023A Privacy-Friendly Approach to Data Valuation
  26. NeurIPS 2023A Randomized Approach to Tight Privacy Accounting
  27. NeurIPS 2023A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
  28. NeurIPS 2023An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient
  29. NeurIPS 2023Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
  30. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
  31. NeurIPS 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
  32. NeurIPS 2023Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
  33. NeurIPS 2023CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation
  34. NeurIPS 2023Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
  35. NeurIPS 2023DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation
  36. NeurIPS 2023Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
  37. NeurIPS 2023Does progress on ImageNet transfer to real-world datasets?
  38. NeurIPS 2023EgoEnv: Human-centric environment representations from egocentric video
  39. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  40. NeurIPS 2023Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
  41. NeurIPS 2023Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
  42. NeurIPS 2023First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
  43. NeurIPS 2023Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
  44. NeurIPS 2023High Precision Causal Model Evaluation with Conditional Randomization
  45. NeurIPS 2023How to Data in Datathons
  46. NeurIPS 2023Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding
  47. NeurIPS 2023Learning to Augment Distributions for Out-of-distribution Detection
  48. NeurIPS 2023Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
  49. NeurIPS 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
  50. NeurIPS 2023Minimax-Optimal Location Estimation

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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"}

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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。

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