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 147 篇，第 1 / 3 页

1. ICLR 2026$\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
2. ICLR 2026A Theoretical Analysis of Mamba’s Training Dynamics: Filtering Relevant Features for Generalization in State Space Models
3. ICLR 2026Beyond Spectra: Eigenvector Overlaps in Loss Geometry
4. ICLR 2026Block-Sample MAC-Bayes Generalization Bounds
5. ICLR 2026Bound by semanticity: universal laws governing the generalization-identification tradeoff
6. ICLR 2026Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
7. ICLR 2026Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
8. ICLR 2026Covariate-Guided Clusterwise Linear Regression for Generalization to Unseen Data
9. ICLR 2026Demystifying Supervision Data Generalization in Multimodal LMs
10. ICLR 2026Diagnosing Failures in Generalization from Task-Relevant Representational Geometry
11. ICLR 2026Does Weak-to-strong Generalization Happen under Spurious Correlations?
12. ICLR 2026Efficient Offline Reinforcement Learning via Peer-Influenced Constraint
13. ICLR 2026Exploring Mode Connectivity in Krylov Subspace for Domain Generalization
14. ICLR 2026Generalization Below the Edge of Stability: The Role of Data Geometry
15. ICLR 2026Graph Representational Learning: When Does More Expressivity Hurt Generalization?
16. ICLR 2026GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data
17. ICLR 2026Implicit Regularisation in Diffusion Models: An Algorithm-Dependent Generalisation Analysis
18. ICLR 2026LDT: Layer-Decomposition Training Makes Networks More Generalizable
19. ICLR 2026LiteGuard: Efficient Task-Agnostic Model Fingerprinting with Enhanced Generalization
20. ICLR 2026Long-Context Generalization with Sparse Attention
21. ICLR 2026Memorizing Long-tail Data Can Help Generalization Through Composition
22. ICLR 2026Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
23. ICLR 2026On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
24. ICLR 2026Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
25. ICLR 2026PAC-Bayes bounds for cumulative loss in Continual Learning
26. ICLR 2026Pretrain–Test Task Alignment Governs Generalization in In-Context Learning
27. ICLR 2026Quantitative Bounds for Length Generalization in Transformers
28. ICLR 2026Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization
29. ICLR 2026Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
30. ICLR 2026Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning
31. ICLR 2026Sharp asymptotic theory for Q-learning with \texttt{LD2Z} learning rate and its generalization
32. ICLR 2026Symmetric Space Learning for Combinatorial Generalization
33. ICLR 2026Temporal Generalization: A Reality Check
34. ICLR 2026The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
35. ICLR 2026Training-Free Determination of Network Width via Neural Tangent Kernel
36. ICLR 2026Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization
37. ICLR 2026When Shift Happens - Confounding Is to Blame
38. ICLR 2026Why is Your Language Model a Poor Implicit Reward Model?
39. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
40. ICLR 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuning
41. ICLR 2025Algorithmic Stability Based Generalization Bounds for Adversarial Training
42. ICLR 2025Benign Overfitting in Out-of-Distribution Generalization of Linear Models
43. ICLR 2025Breaking Neural Network Scaling Laws with Modularity
44. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
45. ICLR 2025Compute-Optimal LLMs Provably Generalize Better with Scale
46. ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
47. ICLR 2025Feedback Favors the Generalization of Neural ODEs
48. ICLR 2025Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
49. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
50. ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models

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。