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 107 篇，第 2 / 3 页

51. NeurIPS 2023A Trichotomy for Transductive Online Learning
52. NeurIPS 2023Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
53. NeurIPS 2023Adaptive Selective Sampling for Online Prediction with Experts
54. NeurIPS 2023Adversarial Attacks on Online Learning to Rank with Click Feedback
55. NeurIPS 2023Advice Querying under Budget Constraint for Online Algorithms
56. NeurIPS 2023An Adaptive Algorithm for Learning with Unknown Distribution Drift
57. NeurIPS 2023An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
58. NeurIPS 2023Anytime Model Selection in Linear Bandits
59. NeurIPS 2023Attacks on Online Learners: a Teacher-Student Analysis
60. NeurIPS 2023Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
61. NeurIPS 2023Black-Box Differential Privacy for Interactive ML
62. NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
63. NeurIPS 2023Discrete-Smoothness in Online Algorithms with Predictions
64. NeurIPS 2023Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes
65. NeurIPS 2023Efficient Online Clustering with Moving Costs
66. NeurIPS 2023Equal Opportunity of Coverage in Fair Regression
67. NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
68. NeurIPS 2023Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
69. NeurIPS 2023No-regret Algorithms for Fair Resource Allocation
70. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
71. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
72. NeurIPS 2023Non-stationary Experimental Design under Linear Trends
73. NeurIPS 2023On the Learnability of Multilabel Ranking
74. NeurIPS 2023On the Minimax Regret for Online Learning with Feedback Graphs
75. NeurIPS 2023Online Ad Allocation with Predictions
76. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
77. NeurIPS 2023Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
78. NeurIPS 2023Online Constrained Meta-Learning: Provable Guarantees for Generalization
79. NeurIPS 2023Online Control for Meta-optimization
80. NeurIPS 2023Online Convex Optimization with Unbounded Memory
81. NeurIPS 2023Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
82. NeurIPS 2023Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
83. NeurIPS 2023Online learning of long-range dependencies
84. NeurIPS 2023Online Learning under Adversarial Nonlinear Constraints
85. NeurIPS 2023Online List Labeling with Predictions
86. NeurIPS 2023Online Nonstochastic Model-Free Reinforcement Learning
87. NeurIPS 2023Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games
88. NeurIPS 2023Online Pricing for Multi-User Multi-Item Markets
89. NeurIPS 2023Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
90. NeurIPS 2023Online robust non-stationary estimation
91. NeurIPS 2023Optimal Rates for Bandit Nonstochastic Control
92. NeurIPS 2023Optimistic Meta-Gradients
93. NeurIPS 2023Partial Matrix Completion
94. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
95. NeurIPS 2023Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
96. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
97. NeurIPS 2023Riemannian Projection-free Online Learning
98. NeurIPS 2023Robust Learning for Smoothed Online Convex Optimization with Feedback Delay
99. NeurIPS 2023Selective Sampling and Imitation Learning via Online Regression
100. NeurIPS 2023Smoothed Analysis of Sequential Probability Assignment

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。