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 107 篇，第 1 / 3 页
- CVPR 2023PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning
- CVPR 2023SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes
- CVPR 2023Temporally Consistent Online Depth Estimation Using Point-Based Fusion
- CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
- ICLR 2023A CMDP-within-online framework for Meta-Safe Reinforcement Learning
- ICLR 2023Hebbian Deep Learning Without Feedback
- ICLR 2023Meta-Learning in Games
- ICLR 2023Multi-Objective Online Learning
- ICLR 2023New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
- ICLR 2023Online Bias Correction for Task-Free Continual Learning
- ICLR 2023Online Boundary-Free Continual Learning by Scheduled Data Prior
- ICLR 2023Online Low Rank Matrix Completion
- ICLR 2023The Role of Coverage in Online Reinforcement Learning
- ICML 2023Actor-Critic Alignment for Offline-to-Online Reinforcement Learning
- ICML 2023Applied Online Algorithms with Heterogeneous Predictors
- ICML 2023Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
- ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
- ICML 2023Efficient Online Reinforcement Learning with Offline Data
- ICML 2023Fair yet Asymptotically Equal Collaborative Learning
- ICML 2023Fast Online Node Labeling for Very Large Graphs
- ICML 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
- ICML 2023GNOT: A General Neural Operator Transformer for Operator Learning
- ICML 2023Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
- ICML 2023Improved Online Conformal Prediction via Strongly Adaptive Online Learning
- ICML 2023Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
- ICML 2023Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
- ICML 2023Learning Distributions over Quantum Measurement Outcomes
- ICML 2023Learning Rate Schedules in the Presence of Distribution Shift
- ICML 2023Leveraging Demonstrations to Improve Online Learning: Quality Matters
- ICML 2023Leveraging Offline Data in Online Reinforcement Learning
- ICML 2023Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
- ICML 2023Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
- ICML 2023Mixing Predictions for Online Metric Algorithms
- ICML 2023Multi-agent Online Scheduling: MMS Allocations for Indivisible Items
- ICML 2023Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
- ICML 2023Online Learning in Stackelberg Games with an Omniscient Follower
- ICML 2023Online Learning with Feedback Graphs: The True Shape of Regret
- ICML 2023Online Platt Scaling with Calibeating
- ICML 2023Online Restless Bandits with Unobserved States
- ICML 2023Optimal Arms Identification with Knapsacks
- ICML 2023Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
- ICML 2023Parallel Online Clustering of Bandits via Hedonic Game
- ICML 2023Regret Minimization and Convergence to Equilibria in General-sum Markov Games
- ICML 2023Solving Linear Programs with Fast Online Learning Algorithms
- ICML 2023Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
- ICML 2023Training Deep Surrogate Models with Large Scale Online Learning
- ICML 2023Unconstrained Online Learning with Unbounded Losses
- ICML 2023Understanding the Role of Feedback in Online Learning with Switching Costs
- ICML 2023What can online reinforcement learning with function approximation benefit from general coverage conditions?
- NeurIPS 2023A Batch-to-Online Transformation under Random-Order Model
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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。