通用机器学习 · generalization论文趋势 2023–2026

通用机器学习：generalization

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 592 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

通用机器学习 · generalization论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202342363325136
202446403316135
202561336114169
20265838479152

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

全部通用机器学习 · generalization论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 592 篇，第 4 / 12 页

  1. NeurIPS 2026Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization
  2. NeurIPS 2026WavCIL: Wavelet Coefficient-Domain Invariant Learning for Dynamic Graph OOD Generalization
  3. CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
  4. CVPR 2025Data Distributional Properties As Inductive Bias for Systematic Generalization
  5. CVPR 2025Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
  6. CVPR 2025Domain Generalization in CLIP via Learning with Diverse Text Prompts
  7. CVPR 2025Gradient-Guided Annealing for Domain Generalization
  8. CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
  9. CVPR 2025On the Generalization of Handwritten Text Recognition Models
  10. CVPR 2025On the Out-Of-Distribution Generalization of Large Multimodal Models
  11. CVPR 2025PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
  12. CVPR 2025Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
  13. CVPR 2025TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
  14. CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
  15. CVPR 2025Unlocking Generalization Power in LiDAR Point Cloud Registration
  16. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
  17. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
  18. ICLR 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuning
  19. ICLR 2025Algorithmic Stability Based Generalization Bounds for Adversarial Training
  20. ICLR 2025Benign Overfitting in Out-of-Distribution Generalization of Linear Models
  21. ICLR 2025Breaking Neural Network Scaling Laws with Modularity
  22. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
  23. ICLR 2025Compute-Optimal LLMs Provably Generalize Better with Scale
  24. ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
  25. ICLR 2025Feedback Favors the Generalization of Neural ODEs
  26. ICLR 2025Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
  27. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
  28. ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models
  29. ICLR 2025Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
  30. ICLR 2025Horizon Generalization in Reinforcement Learning
  31. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
  32. ICLR 2025Intermediate Layer Classifiers for OOD generalization
  33. ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
  34. ICLR 2025Language Models Need Inductive Biases to Count Inductively
  35. ICLR 2025Looped Transformers for Length Generalization
  36. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
  37. ICLR 2025Quantifying Generalization Complexity for Large Language Models
  38. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
  39. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
  40. ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
  41. ICLR 2025Subgraph Federated Learning for Local Generalization
  42. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
  43. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
  44. ICLR 2025Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
  45. ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
  46. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
  47. ICLR 2025Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
  48. ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
  49. ICLR 2025When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
  50. ICML 2025A Generalization Result for Convergence in Learning-to-Optimize

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常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · generalization论文？
共 592 篇，按年份分别是 2023 年 136 篇、2024 年 135 篇、2025 年 169 篇、2026 年 152 篇。
NeurIPS 2026 有多少篇通用机器学习 · generalization论文？
NeurIPS 2026 有 58 篇通用机器学习 · generalization论文，上一届是 61 篇。
ICLR 2026 有多少篇通用机器学习 · generalization论文？
ICLR 2026 有 38 篇通用机器学习 · generalization论文，上一届是 33 篇。
ICML 2026 有多少篇通用机器学习 · generalization论文？
ICML 2026 有 47 篇通用机器学习 · generalization论文，上一届是 61 篇。
CVPR 2026 有多少篇通用机器学习 · generalization论文？
CVPR 2026 有 9 篇通用机器学习 · generalization论文，上一届是 14 篇。
哪个会议的通用机器学习 · generalization论文最多？
NeurIPS，2023–2026 年共 207 篇。

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