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

64 papers, page 1 of 2

1. CVPR 2026Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling
2. CVPR 2026Data-Centric Meta-Learning for Robust Few-Shot Generalization
3. CVPR 2026GenSplat Bridging the Generalization Gap in 3DGS Language Comprehension
4. CVPR 2026Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance
5. CVPR 2026PoseAnything General Pose-guided Video Generation with Part-aware Temporal Coherence
6. CVPR 2026PriVi Towards a General-Purpose Video Model for Primate Behavior in
7. CVPR 2026See Through the Noise Improving Domain Generalization in Gaze Estimation
8. CVPR 2026Smoothing the Score Function to Enhance Generalization in Diffusion Models
9. CVPR 2026The Golden Subspace Where Efficiency Meets Generalization in Continual Test-Time
10. CVPR 2025Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
11. CVPR 2025Data Distributional Properties As Inductive Bias for Systematic Generalization
12. CVPR 2025Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization
13. CVPR 2025Domain Generalization in CLIP via Learning with Diverse Text Prompts
14. CVPR 2025Gradient-Guided Annealing for Domain Generalization
15. CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
16. CVPR 2025On the Generalization of Handwritten Text Recognition Models
17. CVPR 2025On the Out-Of-Distribution Generalization of Large Multimodal Models
18. CVPR 2025PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization
19. CVPR 2025Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
20. CVPR 2025TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction
21. CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
22. CVPR 2025Unlocking Generalization Power in LiDAR Point Cloud Registration
23. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
24. CVPR 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
25. CVPR 2024A2XP: Towards Private Domain Generalization
26. CVPR 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
27. CVPR 2024Any-Shift Prompting for Generalization over Distributions
28. CVPR 2024Can Biases in ImageNet Models Explain Generalization?
29. CVPR 2024CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
30. CVPR 2024DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
31. CVPR 2024Disentangled Prompt Representation for Domain Generalization
32. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
33. CVPR 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
34. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
35. CVPR 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
36. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
37. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
38. CVPR 2024Rethinking the Evaluation Protocol of Domain Generalization
39. CVPR 2024Single Domain Generalization for Crowd Counting
40. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
41. CVPR 2023AltFreezing for More General Video Face Forgery Detection
42. CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
43. CVPR 2023Crossing the Gap: Domain Generalization for Image Captioning
44. CVPR 2023DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
45. CVPR 2023Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
46. CVPR 2023Deep Frequency Filtering for Domain Generalization
47. CVPR 2023Federated Domain Generalization With Generalization Adjustment
48. CVPR 2023HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining
49. CVPR 2023Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
50. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level

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.