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

25 papers, page 1 of 1

1. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
2. CVPR 2023AltFreezing for More General Video Face Forgery Detection
3. CVPR 2023Bi-Level Meta-Learning for Few-Shot Domain Generalization
4. CVPR 2023Crossing the Gap: Domain Generalization for Image Captioning
5. CVPR 2023DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
6. CVPR 2023Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
7. CVPR 2023Deep Frequency Filtering for Domain Generalization
8. CVPR 2023Federated Domain Generalization With Generalization Adjustment
9. CVPR 2023HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining
10. CVPR 2023Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
11. CVPR 2023Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
12. CVPR 2023Improving Generalization With Domain Convex Game
13. CVPR 2023Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
14. CVPR 2023Instance-Aware Domain Generalization for Face Anti-Spoofing
15. CVPR 2023Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
16. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
17. CVPR 2023MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
18. CVPR 2023Modality-Agnostic Debiasing for Single Domain Generalization
19. CVPR 2023Neuralizer: General Neuroimage Analysis Without Re-Training
20. CVPR 2023NICO++: Towards Better Benchmarking for Domain Generalization
21. CVPR 2023Progressive Random Convolutions for Single Domain Generalization
22. CVPR 2023Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
23. CVPR 2023Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
24. CVPR 2023Sharpness-Aware Gradient Matching for Domain Generalization
25. CVPR 2023Simulated Annealing in Early Layers Leads to Better Generalization

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.