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 42 篇，第 1 / 1 页

1. NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
2. NeurIPS 2023A unified framework for information-theoretic generalization bounds
3. NeurIPS 2023A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
4. NeurIPS 2023An Iterative Self-Learning Framework for Medical Domain Generalization
5. NeurIPS 2023Analyzing Generalization of Neural Networks through Loss Path Kernels
6. NeurIPS 2023Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
7. NeurIPS 2023Approximately Equivariant Graph Networks
8. NeurIPS 2023Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
9. NeurIPS 2023Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces
10. NeurIPS 2023Certified Minimax Unlearning with Generalization Rates and Deletion Capacity
11. NeurIPS 2023Compositional Generalization from First Principles
12. NeurIPS 2023Data Augmentations for Improved (Large) Language Model Generalization
13. NeurIPS 2023Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
14. NeurIPS 2023Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss
15. NeurIPS 2023Evolving Standardization for Continual Domain Generalization over Temporal Drift
16. NeurIPS 2023GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence
17. NeurIPS 2023Learning Generalizable Agents via Saliency-guided Features Decorrelation
18. NeurIPS 2023Learning Invariant Representations of Graph Neural Networks via Cluster Generalization
19. NeurIPS 2023Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
20. NeurIPS 2023Learning Trajectories are Generalization Indicators
21. NeurIPS 2023MADG: Margin-based Adversarial Learning for Domain Generalization
22. NeurIPS 2023Near-optimal learning with average Hölder smoothness
23. NeurIPS 2023Networks are Slacking Off: Understanding Generalization Problem in Image Deraining
24. NeurIPS 2023Normalization Layers Are All That Sharpness-Aware Minimization Needs
25. NeurIPS 2023On Certified Generalization in Structured Prediction
26. NeurIPS 2023On Generalization Bounds for Projective Clustering
27. NeurIPS 2023On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
28. NeurIPS 2023On the Importance of Exploration for Generalization in Reinforcement Learning
29. NeurIPS 2023PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
30. NeurIPS 2023PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
31. NeurIPS 2023Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
32. NeurIPS 2023Residual Alignment: Uncovering the Mechanisms of Residual Networks
33. NeurIPS 2023Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
34. NeurIPS 2023Secure Out-of-Distribution Task Generalization with Energy-Based Models
35. NeurIPS 2023Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
36. NeurIPS 2023The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
37. NeurIPS 2023Tight Risk Bounds for Gradient Descent on Separable Data
38. NeurIPS 2023Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
39. NeurIPS 2023Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach
40. NeurIPS 2023Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
41. NeurIPS 2023Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
42. NeurIPS 2023Understanding and Improving Feature Learning for Out-of-Distribution Generalization

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。