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

36 papers, page 1 of 1

1. ICLR 2023A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
2. ICLR 2023Agree to Disagree: Diversity through Disagreement for Better Transferability
3. ICLR 2023ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
4. ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
5. ICLR 2023Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
6. ICLR 2023Causal Balancing for Domain Generalization
7. ICLR 2023Compositional Semantic Parsing with Large Language Models
8. ICLR 2023Compositionality with Variation Reliably Emerges in Neural Networks
9. ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
10. ICLR 2023Data Valuation Without Training of a Model
11. ICLR 2023Dataset Pruning: Reducing Training Data by Examining Generalization Influence
12. ICLR 2023Disentanglement of Correlated Factors via Hausdorff Factorized Support
13. ICLR 2023Disentangling the Mechanisms Behind Implicit Regularization in SGD
14. ICLR 2023Domain Generalization via Heckman-type Selection Models
15. ICLR 2023Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms
16. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
17. ICLR 2023GAIN: On the Generalization of Instructional Action Understanding
18. ICLR 2023Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
19. ICLR 2023Improving Out-of-distribution Generalization with Indirection Representations
20. ICLR 2023Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
21. ICLR 2023Leveraging Unlabeled Data to Track Memorization
22. ICLR 2023Linear Connectivity Reveals Generalization Strategies
23. ICLR 2023Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
24. ICLR 2023Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
25. ICLR 2023Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
26. ICLR 2023No Reason for No Supervision: Improved Generalization in Supervised Models
27. ICLR 2023On The Specialization of Neural Modules
28. ICLR 2023Over-Training with Mixup May Hurt Generalization
29. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
30. ICLR 2023Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
31. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
32. ICLR 2023Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
33. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
34. ICLR 2023Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
35. ICLR 2023Towards the Generalization of Contrastive Self-Supervised Learning
36. ICLR 2023Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization

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.