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

33 papers, page 1 of 1

1. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
2. ICML 2024Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
3. ICML 2024Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
4. ICML 2024Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
5. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
6. ICML 2024Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
7. ICML 2024Ensemble Pruning for Out-of-distribution Generalization
8. ICML 2024Generalization Analysis for Multi-Label Learning
9. ICML 2024Generalization Analysis of Deep Non-linear Matrix Completion
10. ICML 2024Generalization Analysis of Stochastic Weight Averaging with General Sampling
11. ICML 2024Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
12. ICML 2024Generalization Error of Graph Neural Networks in the Mean-field Regime
13. ICML 2024Generalization in Kernel Regression Under Realistic Assumptions
14. ICML 2024Generalization to New Sequential Decision Making Tasks with In-Context Learning
15. ICML 2024Graph Structure Extrapolation for Out-of-Distribution Generalization
16. ICML 2024How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
17. ICML 2024Improved Generalization of Weight Space Networks via Augmentations
18. ICML 2024Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm
19. ICML 2024Interpretability Illusions in the Generalization of Simplified Models
20. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
21. ICML 2024Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
22. ICML 2024Non-Vacuous Generalization Bounds for Large Language Models
23. ICML 2024On the Generalization of Equivariant Graph Neural Networks
24. ICML 2024On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
25. ICML 2024Out-of-Domain Generalization in Dynamical Systems Reconstruction
26. ICML 2024Position: Understanding LLMs Requires More Than Statistical Generalization
27. ICML 2024Prediction-powered Generalization of Causal Inferences
28. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
29. ICML 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
30. ICML 2024Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
31. ICML 2024Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
32. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
33. ICML 2024Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error

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.