General ML · generalization papers, 2023–2026

Key findings

• General ML · generalization went from 136 papers in 2023 to 152 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · generalization work: 207 papers from 2023 to 2026, 35% of the four-venue total.
• The fastest-growing overlap is with Theory · learning theory: papers tagged with both rose from 3 in 2023 to 20 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #5 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All General ML · generalization papers

136 papers, page 2 of 3

51. ICLR 2023No Reason for No Supervision: Improved Generalization in Supervised Models
52. ICLR 2023On The Specialization of Neural Modules
53. ICLR 2023Over-Training with Mixup May Hurt Generalization
54. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
55. ICLR 2023Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
56. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
57. ICLR 2023Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
58. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
59. ICLR 2023Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
60. ICLR 2023Towards the Generalization of Contrastive Self-Supervised Learning
61. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
62. ICML 2023A General Representation Learning Framework with Generalization Performance Guarantees
63. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
64. ICML 2023Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization
65. ICML 2023Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
66. ICML 2023Can Neural Network Memorization Be Localized?
67. ICML 2023Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
68. ICML 2023Differentiable Tree Operations Promote Compositional Generalization
69. ICML 2023Distribution Free Domain Generalization
70. ICML 2023General Sequential Episodic Memory Model
71. ICML 2023Generalization Analysis for Contrastive Representation Learning
72. ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
73. ICML 2023How much does Initialization Affect Generalization?
74. ICML 2023Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
75. ICML 2023Learning to Boost Training by Periodic Nowcasting Near Future Weights
76. ICML 2023MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action
77. ICML 2023Model-agnostic Measure of Generalization Difficulty
78. ICML 2023Moderately Distributional Exploration for Domain Generalization
79. ICML 2023Monotonic Location Attention for Length Generalization
80. ICML 2023On the Complexity of Bayesian Generalization
81. ICML 2023On the Generalization of Multi-modal Contrastive Learning
82. ICML 2023Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
83. ICML 2023PAC Generalization via Invariant Representations
84. ICML 2023Robust Subtask Learning for Compositional Generalization
85. ICML 2023Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
86. ICML 2023The Benefits of Model-Based Generalization in Reinforcement Learning
87. ICML 2023Theory on Forgetting and Generalization of Continual Learning
88. ICML 2023Tighter Information-Theoretic Generalization Bounds from Supersamples
89. ICML 2023Toward Large Kernel Models
90. ICML 2023Towards Understanding Generalization of Graph Neural Networks
91. ICML 2023Towards Understanding Generalization of Macro-AUC in Multi-label Learning
92. ICML 2023Transformers as Algorithms: Generalization and Stability in In-context Learning
93. ICML 2023Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks
94. ICML 2023What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
95. NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
96. NeurIPS 2023A unified framework for information-theoretic generalization bounds
97. NeurIPS 2023A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
98. NeurIPS 2023An Iterative Self-Learning Framework for Medical Domain Generalization
99. NeurIPS 2023Analyzing Generalization of Neural Networks through Loss Path Kernels
100. NeurIPS 2023Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization

FAQ

How many General ML · generalization papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

592 in total: 136 in 2023, 135 in 2024, 169 in 2025, 152 in 2026.

How many General ML · generalization papers are at NeurIPS 2026?

NeurIPS 2026 has 58 General ML · generalization papers, versus 61 the year before.

How many General ML · generalization papers are at ICLR 2026?

ICLR 2026 has 38 General ML · generalization papers, versus 33 the year before.

How many General ML · generalization papers are at ICML 2026?

ICML 2026 has 47 General ML · generalization papers, versus 61 the year before.

How many General ML · generalization papers are at CVPR 2026?

CVPR 2026 has 9 General ML · generalization papers, versus 14 the year before.

Which conference publishes the most General ML · generalization papers?

NeurIPS, with 207 papers from 2023 to 2026.