通用机器学习 · generalization论文趋势 2023–2026

主要结论

• 通用机器学习 · generalization论文从 2023 年的 136 篇增长到 2026 年的 152 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发通用机器学习 · generalization论文最多的会议，2023–2026 年共 207 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是理论 · learning theory：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 20 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 5；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · generalization是 1.1 倍。

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

• NeurIPS 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
• ICML 2026Anti-causal domain generalization: Leveraging unlabeled data
• ICLR 2026Generalization Below the Edge of Stability: The Role of Data Geometry
• CVPR 2026PriVi Towards a General-Purpose Video Model for Primate Behavior in
• NeurIPS 2025Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
• ICML 2025Causality Inspired Federated Learning for OOD Generalization
• ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
• CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
• NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
• ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
• ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
• CVPR 2024Disentangled Prompt Representation for Domain Generalization
• NeurIPS 2023A unified framework for information-theoretic generalization bounds
• ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
• ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
• CVPR 2023AltFreezing for More General Video Face Forgery Detection
• NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
• ICML 2026Are Object-Centric Representations Better at Compositional Generalization?
• ICLR 2026Temporal Generalization: A Reality Check
• CVPR 2026The Golden Subspace Where Efficiency Meets Generalization in Continual Test-Time

全部通用机器学习 · generalization论文

共 33 篇，第 1 / 1 页

1. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
2. ICLR 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuning
3. ICLR 2025Algorithmic Stability Based Generalization Bounds for Adversarial Training
4. ICLR 2025Benign Overfitting in Out-of-Distribution Generalization of Linear Models
5. ICLR 2025Breaking Neural Network Scaling Laws with Modularity
6. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
7. ICLR 2025Compute-Optimal LLMs Provably Generalize Better with Scale
8. ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
9. ICLR 2025Feedback Favors the Generalization of Neural ODEs
10. ICLR 2025Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
11. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
12. ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models
13. ICLR 2025Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
14. ICLR 2025Horizon Generalization in Reinforcement Learning
15. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
16. ICLR 2025Intermediate Layer Classifiers for OOD generalization
17. ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
18. ICLR 2025Language Models Need Inductive Biases to Count Inductively
19. ICLR 2025Looped Transformers for Length Generalization
20. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
21. ICLR 2025Quantifying Generalization Complexity for Large Language Models
22. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
23. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
24. ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
25. ICLR 2025Subgraph Federated Learning for Local Generalization
26. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
27. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
28. ICLR 2025Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
29. ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
30. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
31. ICLR 2025Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
32. ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
33. ICLR 2025When narrower is better: the narrow width limit of Bayesian parallel branching neural networks

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。