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

169 papers, page 1 of 4

1. CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
2. CVPR 2025Data Distributional Properties As Inductive Bias for Systematic Generalization
3. CVPR 2025Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
4. CVPR 2025Domain Generalization in CLIP via Learning with Diverse Text Prompts
5. CVPR 2025Gradient-Guided Annealing for Domain Generalization
6. CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
7. CVPR 2025On the Generalization of Handwritten Text Recognition Models
8. CVPR 2025On the Out-Of-Distribution Generalization of Large Multimodal Models
9. CVPR 2025PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
10. CVPR 2025Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
11. CVPR 2025TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
12. CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
13. CVPR 2025Unlocking Generalization Power in LiDAR Point Cloud Registration
14. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
15. ICLR 2025Accelerated Over-Relaxation Heavy-Ball Method: Achieving Global Accelerated Convergence with Broad Generalization
16. ICLR 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuning
17. ICLR 2025Algorithmic Stability Based Generalization Bounds for Adversarial Training
18. ICLR 2025Benign Overfitting in Out-of-Distribution Generalization of Linear Models
19. ICLR 2025Breaking Neural Network Scaling Laws with Modularity
20. ICLR 2025Competition Dynamics Shape Algorithmic Phases of In-Context Learning
21. ICLR 2025Compute-Optimal LLMs Provably Generalize Better with Scale
22. ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
23. ICLR 2025Feedback Favors the Generalization of Neural ODEs
24. ICLR 2025Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
25. ICLR 2025Generalization Bounds for Canonicalization: A Comparative Study with Group Averaging
26. ICLR 2025Generalization through variance: how noise shapes inductive biases in diffusion models
27. ICLR 2025Generalization v.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data
28. ICLR 2025Horizon Generalization in Reinforcement Learning
29. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
30. ICLR 2025Intermediate Layer Classifiers for OOD generalization
31. ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
32. ICLR 2025Language Models Need Inductive Biases to Count Inductively
33. ICLR 2025Looped Transformers for Length Generalization
34. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
35. ICLR 2025Quantifying Generalization Complexity for Large Language Models
36. ICLR 2025Regularizing Energy among Training Samples for Out-of-Distribution Generalization
37. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
38. ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
39. ICLR 2025Subgraph Federated Learning for Local Generalization
40. ICLR 2025Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization
41. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
42. ICLR 2025Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
43. ICLR 2025Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
44. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
45. ICLR 2025Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study
46. ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
47. ICLR 2025When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
48. ICML 2025A Generalization Result for Convergence in Learning-to-Optimize
49. ICML 2025A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
50. ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences

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.