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

592 papers, page 7 of 12

301. NeurIPS 2025On the VC dimension of deep group convolutional neural networks
302. NeurIPS 2025On Transferring Transferability: Towards a Theory for Size Generalization
303. NeurIPS 2025Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
304. NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
305. NeurIPS 2025Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization
306. NeurIPS 2025Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
307. NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
308. NeurIPS 2025Scaling can lead to compositional generalization
309. NeurIPS 2025Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
310. NeurIPS 2025Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
311. NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
312. NeurIPS 2025The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
313. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
314. NeurIPS 2025Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
315. NeurIPS 2025Uncertainty Estimation by Flexible Evidential Deep Learning
316. NeurIPS 2025Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
317. NeurIPS 2025Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training
318. NeurIPS 2025Weak-to-Strong Generalization under Distribution Shifts
319. NeurIPS 2025What Can RL Bring to VLA Generalization? An Empirical Study
320. NeurIPS 2025When Models Don’t Collapse: On the Consistency of Iterative MLE
321. NeurIPS 2025Which Algorithms Have Tight Generalization Bounds?
322. CVPR 2024A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
323. CVPR 2024A2XP: Towards Private Domain Generalization
324. CVPR 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
325. CVPR 2024Any-Shift Prompting for Generalization over Distributions
326. CVPR 2024Can Biases in ImageNet Models Explain Generalization?
327. CVPR 2024CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
328. CVPR 2024DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
329. CVPR 2024Disentangled Prompt Representation for Domain Generalization
330. CVPR 2024Improving Generalization via Meta-Learning on Hard Samples
331. CVPR 2024Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
332. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
333. CVPR 2024Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
334. CVPR 2024Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning
335. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
336. CVPR 2024Rethinking the Evaluation Protocol of Domain Generalization
337. CVPR 2024Single Domain Generalization for Crowd Counting
338. ICLR 2024Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
339. ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
340. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
341. ICLR 2024Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
342. ICLR 2024Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
343. ICLR 2024Context is Environment
344. ICLR 2024Continuous Invariance Learning
345. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
346. ICLR 2024Deep Neural Networks Tend To Extrapolate Predictably
347. ICLR 2024Discovering modular solutions that generalize compositionally
348. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
349. ICLR 2024Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
350. ICLR 2024Energy-guided Entropic Neural Optimal Transport

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.