通用机器学习 · online learning论文趋势 2023–2026

主要结论

• 通用机器学习 · online learning论文从 2023 年的 107 篇降到 2026 年的 105 篇，热度在回落。
• NeurIPS 是发通用机器学习 · online learning论文最多的会议，2023–2026 年共 199 篇，占四个会议总量的 48%。
• 交叉方向里涨得最快的是理论 · optimization：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 6 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 6；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · online learning是 1.0 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部通用机器学习 · online learning论文

共 155 篇，第 1 / 4 页

1. ICML 2026A Minimax Approach for Optimal Intervention Policy Learning with Two-Stage Outcomes
2. ICML 2026A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
3. ICML 2026Anytime-Valid Inference for Online Ranking of Large Language Models
4. ICML 2026Approximate Proportionality in Online Fair Division
5. ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
6. ICML 2026Box Thirding: Anytime Best Arm Identification under Insufficient Sampling
7. ICML 2026CARE: Adaptive Calibration for Reliable Recommendations
8. ICML 2026Clipped Q-Learning: Your Value Clipping Is Secretly A Robust Operator
9. ICML 2026Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
10. ICML 2026CUPID in the Model Zoo: Online Matchmaking for Selecting Your Dream LLM
11. ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
12. ICML 2026ECSEL: Explainable Classification via Signomial Equation Learning
13. ICML 2026Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
14. ICML 2026Efficiently Solving Discounted MDPs via Predictions with Unknown Prediction Errors
15. ICML 2026Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding
16. ICML 2026Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
17. ICML 2026Inference of Online Newton Methods with Nesterov's Accelerated Sketching
18. ICML 2026Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
19. ICML 2026Learning-Augmented Online Covering Problems
20. ICML 2026Learning-Augmented Online Minimization with Dual Predictions
21. ICML 2026Logarithmic Switching Regret for Online Convex Optimization
22. ICML 2026LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
23. ICML 2026MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning
24. ICML 2026Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
25. ICML 2026Non-Stationary Online Structured Prediction with Surrogate Losses
26. ICML 2026Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
27. ICML 2026Online Compatible Reward Identification from Preference Feedback
28. ICML 2026Online Conformal Prediction via Universal Portfolio Algorithms
29. ICML 2026Online Continual Learning with Dynamic Label Hierarchies
30. ICML 2026Online Contract Design With Unknown Technology
31. ICML 2026Online Learning and Inference for Cox Proportional Hazards Model Using Renewable Sieve Estimation
32. ICML 2026Online Robust Reinforcement Learning with General Function Approximation
33. ICML 2026Online Rubrics Elicitation from Pairwise Comparisons
34. ICML 2026Optimal Learning from Label Proportions with General Loss Functions
35. ICML 2026Optimal Top-$k$ Identification from Pairwise Comparisons
36. ICML 2026Parsimonious Learning-Augmented Online Metric Matching
37. ICML 2026Relevance-Based Embeddings: Lightweight Candidate Retrieval via Heavy-Ranker Calls
38. ICML 2026Rethinking the Hardness of PbRL: A Provable General Regret Bound
39. ICML 2026Solving Time-Dependent Differential Equations with Physical Dynamical Systems
40. ICML 2026Stochastic Linear Bandits with Parameter Noise
41. ICML 2026Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
42. ICML 2026The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
43. ICML 2026The Cost of Information: Phase Transitions in Contextual Bandits with Paid Observations
44. ICML 2026The Cost of Learning Under Multiple Change Points
45. ICML 2026Ultrafast On-Chip Online Learning via Spline Locality in Kolmogorov–Arnold Networks
46. ICML 2026Understanding the Gaps in Satisficing Bandits
47. ICML 2026Universal Multiclass Transductive Online Learning
48. ICML 2026Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
49. ICML 2026When Drafts Evolve: Speculative Decoding Meets Online Learning
50. ICML 2025A Online Statistical Framework for Out-of-Distribution Detection

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · online learning论文？

共 416 篇，按年份分别是 2023 年 107 篇、2024 年 96 篇、2025 年 108 篇、2026 年 105 篇。

NeurIPS 2026 有多少篇通用机器学习 · online learning论文？

NeurIPS 2026 有 34 篇通用机器学习 · online learning论文，上一届是 59 篇。

ICLR 2026 有多少篇通用机器学习 · online learning论文？

ICLR 2026 有 13 篇通用机器学习 · online learning论文，上一届是 9 篇。

ICML 2026 有多少篇通用机器学习 · online learning论文？

ICML 2026 有 49 篇通用机器学习 · online learning论文，上一届是 37 篇。

CVPR 2026 有多少篇通用机器学习 · online learning论文？

CVPR 2026 有 9 篇通用机器学习 · online learning论文，上一届是 3 篇。

哪个会议的通用机器学习 · online learning论文最多？

NeurIPS，2023–2026 年共 199 篇。