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 1 / 9 页
- CVPR 2026An Optimal Transport-driven Approach for Cultivating Latent Space in Online
- CVPR 2026Color When It Counts Grayscale-Guided Online Triggering for Always-On Streaming
- CVPR 2026Dynamic Momentum Recalibration in Online Gradient Learning
- CVPR 2026Dynamic Visual SLAM using a General 3D Prior
- CVPR 2026Failure Modes for Deep Learning-Based Online Mapping How to Measure
- CVPR 2026OMG-Bench A New Challenging Benchmark for Skeleton-based Online Micro Hand
- CVPR 2026Online Data Curation for Object Detection via Marginal Contributions to
- CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry
- CVPR 2026Sparse-View Localization via Online Neural 3D Regression
- ICLR 2026Derandomized Online-to-Non-convex Conversion for Stochastic Weakly Convex Optimization
- ICLR 2026Dynamic Classifier-Free Diffusion Guidance via Online Feedback
- ICLR 2026Humanline: Online Alignment as Perceptual Loss
- ICLR 2026MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
- ICLR 2026Nonparametric Contextual Online Bilateral Trade
- ICLR 2026Online Decision-Focused Learning
- ICLR 2026Online Prediction of Stochastic Sequences with High Probability Regret Bounds
- ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
- ICLR 2026RL's Razor: Why Online Reinforcement Learning Forgets Less
- ICLR 2026Semi-Parametric Contextual Pricing with General Smoothness
- ICLR 2026Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions
- ICLR 2026Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning
- ICLR 2026What Matters for Batch Online Reinforcement Learning in Robotics?
- ICML 2026A Minimax Approach for Optimal Intervention Policy Learning with Two-Stage Outcomes
- ICML 2026A Stronger Benchmark for Online Bilateral Trade: From Fixed Prices to Distributions
- ICML 2026Anytime-Valid Inference for Online Ranking of Large Language Models
- ICML 2026Approximate Proportionality in Online Fair Division
- ICML 2026Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning
- ICML 2026Box Thirding: Anytime Best Arm Identification under Insufficient Sampling
- ICML 2026CARE: Adaptive Calibration for Reliable Recommendations
- ICML 2026Clipped Q-Learning: Your Value Clipping Is Secretly A Robust Operator
- ICML 2026Correcting Split Selection in Online Decision Trees via Anytime-Valid Inference
- ICML 2026CUPID in the Model Zoo: Online Matchmaking for Selecting Your Dream LLM
- ICML 2026Doubly Outlier-Robust Online Infinite Hidden Markov Model
- ICML 2026ECSEL: Explainable Classification via Signomial Equation Learning
- ICML 2026Efficient Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
- ICML 2026Efficiently Solving Discounted MDPs via Predictions with Unknown Prediction Errors
- ICML 2026Fast Non-Episodic Finite-Horizon RL with K-Step Lookahead Thresholding
- ICML 2026Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
- ICML 2026Inference of Online Newton Methods with Nesterov's Accelerated Sketching
- ICML 2026Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
- ICML 2026Learning-Augmented Online Covering Problems
- ICML 2026Learning-Augmented Online Minimization with Dual Predictions
- ICML 2026Logarithmic Switching Regret for Online Convex Optimization
- ICML 2026LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry
- ICML 2026MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning
- ICML 2026Minimax Optimal Strategy for Delayed Observations in Online Reinforcement Learning
- ICML 2026Non-Stationary Online Structured Prediction with Surrogate Losses
- ICML 2026Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
- ICML 2026Online Compatible Reward Identification from Preference Feedback
- ICML 2026Online Conformal Prediction via Universal Portfolio Algorithms
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
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。