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 1 of 3

1. CVPR 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
2. CVPR 2024A2XP: Towards Private Domain Generalization
3. CVPR 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
4. CVPR 2024Any-Shift Prompting for Generalization over Distributions
5. CVPR 2024Can Biases in ImageNet Models Explain Generalization?
6. CVPR 2024CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
7. CVPR 2024DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
8. CVPR 2024Disentangled Prompt Representation for Domain Generalization
9. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
10. CVPR 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
11. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
12. CVPR 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
13. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
14. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
15. CVPR 2024Rethinking the Evaluation Protocol of Domain Generalization
16. CVPR 2024Single Domain Generalization for Crowd Counting
17. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
18. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
19. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
20. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
21. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
22. ICLR 2024Context is Environment
23. ICLR 2024Continuous Invariance Learning
24. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
25. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
26. ICLR 2024Discovering modular solutions that generalize compositionally
27. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
28. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
29. ICLR 2024Energy-guided Entropic Neural Optimal Transport
30. ICLR 2024ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
31. ICLR 2024Fantastic Generalization Measures are Nowhere to be Found
32. ICLR 2024Generalization error of spectral algorithms
33. ICLR 2024Generalization in diffusion models arises from geometry-adaptive harmonic representations
34. ICLR 2024Generalization of Scaled Deep ResNets in the Mean-Field Regime
35. ICLR 2024Grokking as the transition from lazy to rich training dynamics
36. ICLR 2024HYPO: Hyperspherical Out-Of-Distribution Generalization
37. ICLR 2024Improving Domain Generalization with Domain Relations
38. ICLR 2024Koopman-based generalization bound: New aspect for full-rank weights
39. ICLR 2024Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
40. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
41. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
42. ICLR 2024Neural-Symbolic Recursive Machine for Systematic Generalization
43. ICLR 2024Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
44. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
45. ICLR 2024Sharpness-Aware Data Poisoning Attack
46. ICLR 2024Spurious Feature Diversification Improves Out-of-distribution Generalization
47. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
48. ICLR 2024Teaching Arithmetic to Small Transformers
49. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
50. ICLR 2024Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark

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.