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 2 / 3 页

51. ICLR 2025Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
52. ICLR 2025Horizon Generalization in Reinforcement Learning
53. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
54. ICLR 2025Intermediate Layer Classifiers for OOD generalization
55. ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
56. ICLR 2025Language Models Need Inductive Biases to Count Inductively
57. ICLR 2025Looped Transformers for Length Generalization
58. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
59. ICLR 2025Quantifying Generalization Complexity for Large Language Models
60. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
61. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
62. ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
63. ICLR 2025Subgraph Federated Learning for Local Generalization
64. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
65. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
66. ICLR 2025Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
67. ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
68. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
69. ICLR 2025Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
70. ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
71. ICLR 2025When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
72. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
73. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
74. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
75. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
76. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
77. ICLR 2024Context is Environment
78. ICLR 2024Continuous Invariance Learning
79. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
80. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
81. ICLR 2024Discovering modular solutions that generalize compositionally
82. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
83. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
84. ICLR 2024Energy-guided Entropic Neural Optimal Transport
85. ICLR 2024ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
86. ICLR 2024Fantastic Generalization Measures are Nowhere to be Found
87. ICLR 2024Generalization error of spectral algorithms
88. ICLR 2024Generalization in diffusion models arises from geometry-adaptive harmonic representations
89. ICLR 2024Generalization of Scaled Deep ResNets in the Mean-Field Regime
90. ICLR 2024Grokking as the transition from lazy to rich training dynamics
91. ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
92. ICLR 2024Improving Domain Generalization with Domain Relations
93. ICLR 2024Koopman-based generalization bound: New aspect for full-rank weights
94. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
95. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
96. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
97. ICLR 2024Neural-Symbolic Recursive Machine for Systematic Generalization
98. ICLR 2024Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
99. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
100. ICLR 2024Sharpness-Aware Data Poisoning Attack

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。