通用机器学习 · online learning论文趋势 2023–2026
通用机器学习：online_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 416 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 58 | 9 | 36 | 4 | 107 |
| 2024 | 48 | 9 | 33 | 6 | 96 |
| 2025 | 59 | 9 | 37 | 3 | 108 |
| 2026 | 34 | 13 | 49 | 9 | 105 |
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 416 篇，第 6 / 9 页
- ICML 2024Online Learning in Betting Markets: Profit versus Prediction
- ICML 2024Online Learning with Bounded Recall
- ICML 2024Online Linear Regression in Dynamic Environments via Discounting
- ICML 2024Online Matrix Completion: A Collaborative Approach with Hott Items
- ICML 2024Online Resource Allocation with Non-Stationary Customers
- ICML 2024Online Speculative Decoding
- ICML 2024Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
- ICML 2024Predictive Linear Online Tracking for Unknown Targets
- ICML 2024Rethinking Momentum Knowledge Distillation in Online Continual Learning
- ICML 2024Small-loss Adaptive Regret for Online Convex Optimization
- ICML 2024Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
- NeurIPS 2024A Theory of Optimistically Universal Online Learnability for General Concept Classes
- NeurIPS 2024AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
- NeurIPS 2024Bandits with Ranking Feedback
- NeurIPS 2024Bayesian Online Natural Gradient (BONG)
- NeurIPS 2024Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
- NeurIPS 2024Contextual Active Model Selection
- NeurIPS 2024Contextual Multinomial Logit Bandits with General Value Functions
- NeurIPS 2024Dueling over Dessert, Mastering the Art of Repeated Cake Cutting
- NeurIPS 2024Fair Online Bilateral Trade
- NeurIPS 2024Fully Unconstrained Online Learning
- NeurIPS 2024Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
- NeurIPS 2024Gradient-Variation Online Learning under Generalized Smoothness
- NeurIPS 2024GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
- NeurIPS 2024Honor Among Bandits: No-Regret Learning for Online Fair Division
- NeurIPS 2024Information-theoretic Limits of Online Classification with Noisy Labels
- NeurIPS 2024Label Delay in Online Continual Learning
- NeurIPS 2024Learning to Price Homogeneous Data
- NeurIPS 2024Learning-Augmented Algorithms with Explicit Predictors
- NeurIPS 2024Lookback Prophet Inequalities
- NeurIPS 2024Multiclass Transductive Online Learning
- NeurIPS 2024On the Necessity of Collaboration for Online Model Selection with Decentralized Data
- NeurIPS 2024Online Bayesian Persuasion Without a Clue
- NeurIPS 2024Online Budgeted Matching with General Bids
- NeurIPS 2024Online Classification with Predictions
- NeurIPS 2024Online Consistency of the Nearest Neighbor Rule
- NeurIPS 2024Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
- NeurIPS 2024Online Estimation via Offline Estimation: An Information-Theoretic Framework
- NeurIPS 2024Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
- NeurIPS 2024Online Learning of Delayed Choices
- NeurIPS 2024Online Learning with Sublinear Best-Action Queries
- NeurIPS 2024Online Non-convex Learning in Dynamic Environments
- NeurIPS 2024Online Weighted Paging with Unknown Weights
- NeurIPS 2024Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
- NeurIPS 2024Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits
- NeurIPS 2024Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms
- NeurIPS 2024PRODuctive bandits: Importance Weighting No More
- NeurIPS 2024Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions
- NeurIPS 2024Provably Efficient Interactive-Grounded Learning with Personalized Reward
- NeurIPS 2024Query-Efficient Correlation Clustering with Noisy Oracle
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可以直接复制这句话问 AI
用 paperlist 查通用机器学习 · online learning在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "gml-online-learning"}
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。