理论 · online learning论文趋势 2023–2026
学习理论及相关：online_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 763 篇被归入该主题的论文。
主要结论
- 理论 · online learning论文从 2023 年的 164 篇增长到 2026 年的 190 篇，三年间扩大到约 1.2 倍。
- NeurIPS 是发理论 · online learning论文最多的会议，2023–2026 年共 427 篇，占四个会议总量的 56%。
- 交叉方向里涨得最快的是驾驶仿真：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 12 篇。
- 在「理论与统计」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的理论 · learning theory是 5.6 倍，理论 · online learning是 1.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 101 | 17 | 39 | 7 | 164 |
| 2024 | 169 | 13 | 34 | 8 | 224 |
| 2025 | 89 | 18 | 74 | 4 | 185 |
| 2026 | 68 | 27 | 86 | 9 | 190 |
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 2026A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
- ICML 2026A Perturbation Approach to Unconstrained Linear Bandits
- ICLR 2026Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
- CVPR 2026An Optimal Transport-driven Approach for Cultivating Latent Space in Online
- NeurIPS 2025A Learning-Augmented Approach to Online Allocation Problems
- ICML 2025A Classification View on Meta Learning Bandits
- ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
- CVPR 2025InteractionMap: Improving Online Vectorized HDMap Construction with Interaction
- NeurIPS 2024A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
- ICML 2024On Online Experimentation without Device Identifiers
- ICLR 2024Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
- CVPR 2024Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
- NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
- ICML 2023Applied Online Algorithms with Heterogeneous Predictors
- ICLR 2023Hebbian Deep Learning Without Feedback
- CVPR 2023VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos
- NeurIPS 2026A Theory of Adversary-Directed Online Learning
- ICML 2026A Two-Layer Framework for Joint Online Configuration Selection and Admission Control
- ICLR 2026A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
- CVPR 2026Dynamic Momentum Recalibration in Online Gradient Learning
全部理论 · online learning论文
共 763 篇，第 13 / 16 页
- CVPR 2023LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
- CVPR 2023MonoATT: Online Monocular 3D Object Detection With Adaptive Token Transformer
- 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 2023Continual Transformers: Redundancy-Free Attention for Online Inference
- ICLR 2023Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games
- ICLR 2023Extreme Q-Learning: MaxEnt RL without Entropy
- ICLR 2023Hebbian Deep Learning Without Feedback
- ICLR 2023Hybrid RL: Using both offline and online data can make RL efficient
- ICLR 2023Learning in temporally structured environments
- ICLR 2023Learning Rationalizable Equilibria in Multiplayer Games
- 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 2023PAC Reinforcement Learning for Predictive State Representations
- ICLR 2023Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
- 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 2023Bayesian online change point detection with Hilbert space approximate Student-t process
- ICML 2023Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
- ICML 2023Doubly Optimal No-Regret Learning in Monotone Games
- ICML 2023Efficient Online Reinforcement Learning with Offline Data
- ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
- ICML 2023Fast Federated Machine Unlearning with Nonlinear Functional Theory
- ICML 2023Fast Online Node Labeling for Very Large Graphs
- ICML 2023Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
- ICML 2023Generalized Implicit Follow-The-Regularized-Leader
- 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 2023Individually Fair Learning with One-Sided Feedback
- ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
- ICML 2023Learning Temporally AbstractWorld Models without Online Experimentation
- ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
- ICML 2023Leveraging Demonstrations to Improve Online Learning: Quality Matters
- ICML 2023Leveraging Offline Data in Online Reinforcement Learning
- ICML 2023Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling
- 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 2023Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
- ICML 2023Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
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可以直接复制这句话问 AI
用 paperlist 查理论 · 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": "theory-online-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇理论 · online learning论文？
- 共 763 篇，按年份分别是 2023 年 164 篇、2024 年 224 篇、2025 年 185 篇、2026 年 190 篇。
- NeurIPS 2026 有多少篇理论 · online learning论文？
- NeurIPS 2026 有 68 篇理论 · online learning论文，上一届是 89 篇。
- ICLR 2026 有多少篇理论 · online learning论文？
- ICLR 2026 有 27 篇理论 · online learning论文，上一届是 18 篇。
- ICML 2026 有多少篇理论 · online learning论文？
- ICML 2026 有 86 篇理论 · online learning论文，上一届是 74 篇。
- CVPR 2026 有多少篇理论 · online learning论文？
- CVPR 2026 有 9 篇理论 · online learning论文，上一届是 4 篇。
- 哪个会议的理论 · online learning论文最多？
- NeurIPS，2023–2026 年共 427 篇。