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 40 篇，第 1 / 1 页

1. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
2. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
3. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
4. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
5. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
6. ICLR 2024Context is Environment
7. ICLR 2024Continuous Invariance Learning
8. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
9. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
10. ICLR 2024Discovering modular solutions that generalize compositionally
11. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
12. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
13. ICLR 2024Energy-guided Entropic Neural Optimal Transport
14. ICLR 2024ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
15. ICLR 2024Fantastic Generalization Measures are Nowhere to be Found
16. ICLR 2024Generalization error of spectral algorithms
17. ICLR 2024Generalization in diffusion models arises from geometry-adaptive harmonic representations
18. ICLR 2024Generalization of Scaled Deep ResNets in the Mean-Field Regime
19. ICLR 2024Grokking as the transition from lazy to rich training dynamics
20. ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
21. ICLR 2024Improving Domain Generalization with Domain Relations
22. ICLR 2024Koopman-based generalization bound: New aspect for full-rank weights
23. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
24. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
25. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
26. ICLR 2024Neural-Symbolic Recursive Machine for Systematic Generalization
27. ICLR 2024Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
28. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
29. ICLR 2024Sharpness-Aware Data Poisoning Attack
30. ICLR 2024Spurious Feature Diversification Improves Out-of-distribution Generalization
31. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
32. ICLR 2024Teaching Arithmetic to Small Transformers
33. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
34. ICLR 2024Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
35. ICLR 2024Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
36. ICLR 2024Understanding Domain Generalization: A Noise Robustness Perspective
37. ICLR 2024Understanding prompt engineering may not require rethinking generalization
38. ICLR 2024Unknown Domain Inconsistency Minimization for Domain Generalization
39. ICLR 2024Unraveling the Key Components of OOD Generalization via Diversification
40. ICLR 2024Why is SAM Robust to Label Noise?

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。