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 25 篇，第 1 / 1 页

1. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
2. CVPR 2023AltFreezing for More General Video Face Forgery Detection
3. CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
4. CVPR 2023Crossing the Gap: Domain Generalization for Image Captioning
5. CVPR 2023DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
6. CVPR 2023Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
7. CVPR 2023Deep Frequency Filtering for Domain Generalization
8. CVPR 2023Federated Domain Generalization With Generalization Adjustment
9. CVPR 2023HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining
10. CVPR 2023Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
11. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
12. CVPR 2023Improving Generalization With Domain Convex Game
13. CVPR 2023Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
14. CVPR 2023Instance-Aware Domain Generalization for Face Anti-Spoofing
15. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
16. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
17. CVPR 2023MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
18. CVPR 2023Modality-Agnostic Debiasing for Single Domain Generalization
19. CVPR 2023Neuralizer: General Neuroimage Analysis Without Re-Training
20. CVPR 2023NICO++: Towards Better Benchmarking for Domain Generalization
21. CVPR 2023Progressive Random Convolutions for Single Domain Generalization
22. CVPR 2023Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
23. CVPR 2023Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
24. CVPR 2023Sharpness-Aware Gradient Matching for Domain Generalization
25. CVPR 2023Simulated Annealing in Early Layers Leads to Better 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。