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 108 篇，第 2 / 3 页

51. NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
52. NeurIPS 2025Agnostic Continuous-Time Online Learning
53. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
54. NeurIPS 2025Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
55. NeurIPS 2025Computable universal online learning
56. NeurIPS 2025Conformal Online Learning of Deep Koopman Linear Embeddings
57. NeurIPS 2025Contextual Online Pricing with (Biased) Offline Data
58. NeurIPS 2025DAA: Amplifying Unknown Discrepancy for Test-Time Discovery
59. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
60. NeurIPS 2025Dynamic Regret Reduces to Kernelized Static Regret
61. NeurIPS 2025Exploring the Noise Robustness of Online Conformal Prediction
62. NeurIPS 2025Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update
63. NeurIPS 2025Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
64. NeurIPS 2025Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits
65. NeurIPS 2025Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
66. NeurIPS 2025KAIROS: Scalable Model-Agnostic Data Valuation
67. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
68. NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
69. NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
70. NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
71. NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
72. NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
73. NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
74. NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
75. NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
76. NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
77. NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
78. NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
79. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
80. NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
81. NeurIPS 2025Online Feedback Efficient Active Target Discovery in Partially Observable Environments
82. NeurIPS 2025Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
83. NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
84. NeurIPS 2025Online Learning of Neural Networks
85. NeurIPS 2025Online Learning of Pure States is as Hard as Mixed States
86. NeurIPS 2025Online Locally Differentially Private Conformal Prediction via Binary Inquiries
87. NeurIPS 2025Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
88. NeurIPS 2025Online Portfolio Selection with ML Predictions
89. NeurIPS 2025Online Prediction with Limited Selectivity
90. NeurIPS 2025Online robust locally differentially private learning for nonparametric regression
91. NeurIPS 2025Online Time Series Forecasting with Theoretical Guarantees
92. NeurIPS 2025Online Two-Stage Submodular Maximization
93. NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
94. NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
95. NeurIPS 2025Precise Asymptotics and Refined Regret of Variance-Aware UCB
96. NeurIPS 2025Prediction-Powered Semi-Supervised Learning with Online Power Tuning
97. NeurIPS 2025Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
98. NeurIPS 2025Replicable Online Learning
99. NeurIPS 2025Replicable Online pricing
100. NeurIPS 2025Robust Contextual Pricing

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。