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

135 papers, page 3 of 3

101. NeurIPS 2024Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
102. NeurIPS 2024Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
103. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
104. NeurIPS 2024Continuous Temporal Domain Generalization
105. NeurIPS 2024DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
106. NeurIPS 2024Dissecting the Failure of Invariant Learning on Graphs
107. NeurIPS 2024Doubly Mild Generalization for Offline Reinforcement Learning
108. NeurIPS 2024Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
109. NeurIPS 2024Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
110. NeurIPS 2024Focus On What Matters: Separated Models For Visual-Based RL Generalization
111. NeurIPS 2024Generalizablity of Memorization Neural Network
112. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
113. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
114. NeurIPS 2024Generalization of Hamiltonian algorithms
115. NeurIPS 2024Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
116. NeurIPS 2024In-Context Learning with Representations: Contextual Generalization of Trained Transformers
117. NeurIPS 2024Information-theoretic Generalization Analysis for Expected Calibration Error
118. NeurIPS 2024Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
119. NeurIPS 2024LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
120. NeurIPS 2024Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization
121. NeurIPS 2024On the Limitations of Fractal Dimension as a Measure of Generalization
122. NeurIPS 2024Partial Transportability for Domain Generalization
123. NeurIPS 2024Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
124. NeurIPS 2024Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
125. NeurIPS 2024Quantifying the Gain in Weak-to-Strong Generalization
126. NeurIPS 2024Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
127. NeurIPS 2024The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
128. NeurIPS 2024The Price of Implicit Bias in Adversarially Robust Generalization
129. NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
130. NeurIPS 2024Transformers Can Do Arithmetic with the Right Embeddings
131. NeurIPS 2024Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
132. NeurIPS 2024Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models
133. NeurIPS 2024What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
134. NeurIPS 2024Where Do Large Learning Rates Lead Us?
135. NeurIPS 2024WikiDO: Evaluating Out-of-Distribution Generalization of Vision-Language Models in Cross-Modal Retrieval

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.