General ML · online learning papers, 2023–2026

Key findings

• General ML · online learning fell from 107 papers in 2023 to 105 in 2026, so interest is cooling.
• NeurIPS publishes the most General ML · online learning work: 199 papers from 2023 to 2026, 48% of the four-venue total.
• The fastest-growing overlap is with Theory · optimization: papers tagged with both rose from 0 in 2023 to 6 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #6 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
• ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
• ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
• CVPR 2026Dynamic Momentum Recalibration in Online Gradient Learning
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Online Statistical Framework for Out-of-Distribution Detection
• ICLR 2025Event-Driven Online Vertical Federated Learning
• CVPR 2025InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
• NeurIPS 2024A Theory of Optimistically Universal Online Learnability for General Concept Classes
• ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
• ICLR 2024Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
• CVPR 2024Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
• NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
• ICML 2023Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
• ICLR 2023Online Bias Correction for Task-Free Continual Learning
• CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
• NeurIPS 2026A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
• ICML 2026CARE: Adaptive Calibration for Reliable Recommendations
• ICLR 2026Semi-Parametric Contextual Pricing with General Smoothness
• CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry

All General ML · online learning papers

58 papers, page 1 of 2

1. NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
2. NeurIPS 2023A Trichotomy for Transductive Online Learning
3. NeurIPS 2023Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
4. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
5. NeurIPS 2023Adversarial Attacks on Online Learning to Rank with Click Feedback
6. NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
7. NeurIPS 2023An Adaptive Algorithm for Learning with Unknown Distribution Drift
8. NeurIPS 2023An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
9. NeurIPS 2023Anytime Model Selection in Linear Bandits
10. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
11. NeurIPS 2023Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
12. NeurIPS 2023Black-Box Differential Privacy for Interactive ML
13. NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
14. NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
15. NeurIPS 2023Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
16. NeurIPS 2023Efficient Online Clustering with Moving Costs
17. NeurIPS 2023Equal Opportunity of Coverage in Fair Regression
18. NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
19. NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
20. NeurIPS 2023No-regret Algorithms for Fair Resource Allocation
21. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
22. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
23. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
24. NeurIPS 2023On the Learnability of Multilabel Ranking
25. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
26. NeurIPS 2023Online Ad Allocation with Predictions
27. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
28. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
29. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
30. NeurIPS 2023Online Control for Meta-optimization
31. NeurIPS 2023Online Convex Optimization with Unbounded Memory
32. NeurIPS 2023Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
33. NeurIPS 2023Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
34. NeurIPS 2023Online learning of long-range dependencies
35. NeurIPS 2023Online Learning under Adversarial Nonlinear Constraints
36. NeurIPS 2023Online List Labeling with Predictions
37. NeurIPS 2023Online Nonstochastic Model-Free Reinforcement Learning
38. NeurIPS 2023Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
39. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets
40. NeurIPS 2023Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
41. NeurIPS 2023Online robust non-stationary estimation
42. NeurIPS 2023Optimal Rates for Bandit Nonstochastic Control
43. NeurIPS 2023Optimistic Meta-Gradients
44. NeurIPS 2023Partial Matrix Completion
45. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
46. NeurIPS 2023Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
47. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
48. NeurIPS 2023Riemannian Projection-free Online Learning
49. NeurIPS 2023Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
50. NeurIPS 2023Selective Sampling and Imitation Learning via Online Regression

FAQ

How many General ML · online learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

416 in total: 107 in 2023, 96 in 2024, 108 in 2025, 105 in 2026.

How many General ML · online learning papers are at NeurIPS 2026?

NeurIPS 2026 has 34 General ML · online learning papers, versus 59 the year before.

How many General ML · online learning papers are at ICLR 2026?

ICLR 2026 has 13 General ML · online learning papers, versus 9 the year before.

How many General ML · online learning papers are at ICML 2026?

ICML 2026 has 49 General ML · online learning papers, versus 37 the year before.

How many General ML · online learning papers are at CVPR 2026?

CVPR 2026 has 9 General ML · online learning papers, versus 3 the year before.

Which conference publishes the most General ML · online learning papers?

NeurIPS, with 199 papers from 2023 to 2026.