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 199 篇,第 2 / 4 页
- NeurIPS 2025KAIROS: Scalable Model-Agnostic Data Valuation
- NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
- NeurIPS 2025Learning-Augmented Algorithms for $k$-median via Online Learning
- NeurIPS 2025Learning-Augmented Online Bidding in Stochastic Settings
- NeurIPS 2025Learning-Augmented Online Bipartite Fractional Matching
- NeurIPS 2025Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
- NeurIPS 2025Minimax Adaptive Online Nonparametric Regression over Besov spaces
- NeurIPS 2025Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
- NeurIPS 2025Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
- NeurIPS 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!
- NeurIPS 2025No-Regret Online Autobidding Algorithms in First-price Auctions
- NeurIPS 2025Non-Clairvoyant Scheduling with Progress Bars
- NeurIPS 2025On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
- NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
- NeurIPS 2025Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time
- NeurIPS 2025Online Feedback Efficient Active Target Discovery in Partially Observable Environments
- NeurIPS 2025Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
- NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
- NeurIPS 2025Online Learning of Neural Networks
- NeurIPS 2025Online Learning of Pure States is as Hard as Mixed States
- NeurIPS 2025Online Locally Differentially Private Conformal Prediction via Binary Inquiries
- NeurIPS 2025Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
- NeurIPS 2025Online Portfolio Selection with ML Predictions
- NeurIPS 2025Online Prediction with Limited Selectivity
- NeurIPS 2025Online robust locally differentially private learning for nonparametric regression
- NeurIPS 2025Online Time Series Forecasting with Theoretical Guarantees
- NeurIPS 2025Online Two-Stage Submodular Maximization
- NeurIPS 2025Optimal Mistake Bounds for Transductive Online Learning
- NeurIPS 2025Optimal Online Change Detection via Random Fourier Features
- NeurIPS 2025Precise Asymptotics and Refined Regret of Variance-Aware UCB
- NeurIPS 2025Prediction-Powered Semi-Supervised Learning with Online Power Tuning
- NeurIPS 2025Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
- NeurIPS 2025Replicable Online Learning
- NeurIPS 2025Replicable Online pricing
- NeurIPS 2025Robust Contextual Pricing
- NeurIPS 2025SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction
- NeurIPS 2025Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
- NeurIPS 2025Taming Adversarial Constraints in CMDPs
- NeurIPS 2025Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
- NeurIPS 2025Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
- NeurIPS 2025True Impact of Cascade Length in Contextual Cascading Bandits
- NeurIPS 2025Valid Selection among Conformal Sets
- NeurIPS 2025zip2zip: Inference-Time Adaptive Tokenization via Online Compression
- 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
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。