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. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
2. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
3. ICML 2024Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
4. ICML 2024Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
5. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
6. ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
7. ICML 2024Ensemble Pruning for Out-of-distribution Generalization
8. ICML 2024Generalization Analysis for Multi-Label Learning
9. ICML 2024Generalization Analysis of Deep Non-linear Matrix Completion
10. ICML 2024Generalization Analysis of Stochastic Weight Averaging with General Sampling
11. ICML 2024Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
12. ICML 2024Generalization Error of Graph Neural Networks in the Mean-field Regime
13. ICML 2024Generalization in Kernel Regression Under Realistic Assumptions
14. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
15. ICML 2024Graph Structure Extrapolation for Out-of-Distribution Generalization
16. ICML 2024How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
17. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
18. ICML 2024Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
19. ICML 2024Interpretability Illusions in the Generalization of Simplified Models
20. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
21. ICML 2024Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
22. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
23. ICML 2024On the Generalization of Equivariant Graph Neural Networks
24. ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
25. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
26. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
27. ICML 2024Prediction-powered Generalization of Causal Inferences
28. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
29. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
30. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
31. ICML 2024Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
32. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
33. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error

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。