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

61 papers, page 1 of 2

1. ICML 2025A Generalization Result for Convergence in Learning-to-Optimize
2. ICML 2025A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
3. ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
4. ICML 2025A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
5. ICML 2025A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
6. ICML 2025Adversarial Robust Generalization of Graph Neural Networks
7. ICML 2025Avoiding spurious sharpness minimization broadens applicability of SAM
8. ICML 2025Causality Inspired Federated Learning for OOD Generalization
9. ICML 2025Compositional Generalization via Forced Rendering of Disentangled Latents
10. ICML 2025Compositional Risk Minimization
11. ICML 2025Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
12. ICML 2025Covered Forest: Fine-grained generalization analysis of graph neural networks
13. ICML 2025Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
14. ICML 2025Does Data Scaling Lead to Visual Compositional Generalization?
15. ICML 2025Enhancing Graph Invariant Learning from a Negative Inference Perspective
16. ICML 2025Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
17. ICML 2025Federated Learning for Feature Generalization with Convex Constraints
18. ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
19. ICML 2025Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization
20. ICML 2025Generalization Analysis for Controllable Learning
21. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
22. ICML 2025Generalization in Federated Learning: A Conditional Mutual Information Framework
23. ICML 2025Generalization of noisy SGD in unbounded non-convex settings
24. ICML 2025Generalization Performance of Ensemble Clustering: From Theory to Algorithm
25. ICML 2025Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
26. ICML 2025Generative Intervention Models for Causal Perturbation Modeling
27. ICML 2025Grokking Beyond the Euclidean Norm of Model Parameters
28. ICML 2025Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It
29. ICML 2025Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
30. ICML 2025Improving Generalization with Flat Hilbert Bayesian Inference
31. ICML 2025In-Context Learning and Occam's Razor
32. ICML 2025Investigating the Overlooked Hessian Structure: From CNNs to LLMs
33. ICML 2025IT$^3$: Idempotent Test-Time Training
34. ICML 2025Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
35. ICML 2025Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
36. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
37. ICML 2025Multivariate Conformal Selection
38. ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
39. ICML 2025Non-Asymptotic Length Generalization
40. ICML 2025On the Generalization Ability of Next-Token-Prediction Pretraining
41. ICML 2025On the Out-of-Distribution Generalization of Self-Supervised Learning
42. ICML 2025On the Statistical Mechanisms of Distributional Compositional Generalization
43. ICML 2025One-Step Generalization Ratio Guided Optimization for Domain Generalization
44. ICML 2025OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
45. ICML 2025Position: Deep Learning is Not So Mysterious or Different
46. ICML 2025Position: General Intelligence Requires Reward-based Pretraining
47. ICML 2025Provable Length Generalization in Sequence Prediction via Spectral Filtering
48. ICML 2025Provably Improving Generalization of Few-shot models with Synthetic Data
49. ICML 2025QT-DoG: Quantization-Aware Training for Domain Generalization
50. ICML 2025Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss

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.