理论 · learning theory论文趋势 2023–2026
学习理论及相关：learning_theory
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,350 篇被归入该主题的论文。
主要结论
- 理论 · learning theory论文从 2023 年的 86 篇增长到 2026 年的 482 篇，三年间扩大到约 5.6 倍。
- NeurIPS 是发理论 · learning theory论文最多的会议，2023–2026 年共 540 篇，占四个会议总量的 40%。
- 交叉方向里涨得最快的是社会层面 · accountability transparency and interpretability：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 33 篇。
- 在「理论与统计」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的理论 · optimization是 4.7 倍，理论 · learning theory是 5.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 57 | 24 | 5 | 0 | 86 |
| 2024 | 265 | 106 | 21 | 1 | 393 |
| 2025 | 106 | 147 | 132 | 4 | 389 |
| 2026 | 112 | 200 | 170 | 0 | 482 |
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 dynamical systems theory of reward-modulated learning in linear recurrent networks
- ICML 2026A Fine-Grained Understanding of Uniform Convergence for Halfspaces
- ICLR 2026A Law of Data Reconstruction for Random Features (And Beyond)
- NeurIPS 2025A Geometric Analysis of PCA
- ICML 2025A Generalization Theory for Zero-Shot Prediction
- ICLR 2025A Solvable Attention for Neural Scaling Laws
- CVPR 2025Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation
- NeurIPS 20244+3 Phases of Compute-Optimal Neural Scaling Laws
- ICML 2024A Statistical Theory of Regularization-Based Continual Learning
- ICLR 2024A Sublinear Adversarial Training Algorithm
- CVPR 2024Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
- NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
- ICML 2023Robust Collaborative Learning with Linear Gradient Overhead
- ICLR 2023Bispectral Neural Networks
- NeurIPS 2026A Mechanistic Investigation of Theory of Mind in a Large Language Model
- ICML 2026A Random Matrix Theory of Masked Self-Supervised Learning
- ICLR 2026A New Approach to Controlling Linear Dynamical Systems
- NeurIPS 2025Approximation theory for 1-Lipschitz ResNets
- ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
- ICLR 2025A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
全部理论 · learning theory论文
共 482 篇，第 10 / 10 页
- NeurIPS 2026Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
- NeurIPS 2026Policy Optimization in Tabular MDPs: Data-dependent Regret under Unknown Transitions
- NeurIPS 2026Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics
- NeurIPS 2026Prediction Under Imperfect Compression: A Theory of Approximate MDL
- NeurIPS 2026Propagation of Chaos in Contextual Flow Maps
- NeurIPS 2026Random Matrix Theory of Early-Stopped Gradient Flow: A Transient BBP Scenario
- NeurIPS 2026Regret Minimization in Single-Dimensional Contract-Design with Binary Actions
- NeurIPS 2026Replicable Constrained Bandits
- NeurIPS 2026Resolving AdaBoost Cycling with LLMs: A Computer-Assisted Counterexample
- NeurIPS 2026Robust Statistical Estimators with Bounded Empirical Sensitivity
- NeurIPS 2026Safe Linear Bandits with Unknown Safety Gaps
- NeurIPS 2026SAMPPO: Structure-Aware Mirror Proximal Policy Optimization
- NeurIPS 2026Second-Order Complexity Theory for Neural Networks
- NeurIPS 2026Selling Information While Being an Interested Party
- NeurIPS 2026Sharp Non-Asymptotic Analysis of the Penalized Challenger in $\beta$-EB-TCI for Bernoulli Bandits
- NeurIPS 2026Testable and Actionable Calibration for Full Swap Regret
- NeurIPS 2026The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction
- NeurIPS 2026The Symmetries of Three-Layer ReLU Networks
- NeurIPS 2026Theory of Optimal Learning Rate Schedules and Scaling Laws for a Random Feature Model
- NeurIPS 2026Theory on Attention Dynamics for Out-of-Distribution In-Context Learning
- NeurIPS 2026Tight Generalization Bounds for Noiseless Inverse Optimization
- NeurIPS 2026Topic-Aware Contextual Cascading Bandits
- NeurIPS 2026Toward a theory of Evaluability
- NeurIPS 2026Training-free Spatially Grounded Geometric Shape Encoding
- NeurIPS 2026Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
- NeurIPS 2026Understanding Generalization Requires Universal Induction
- NeurIPS 2026Understanding Randomization in Greedy Model Search
- NeurIPS 2026Understanding the Convergence of Direct Training of SNNs with Surrogate Gradients
- NeurIPS 2026Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees
- NeurIPS 2026Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation
- NeurIPS 2026When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
- NeurIPS 2026When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification
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 查理论 · learning theory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-learning-theory"}
常见问题
- 2023–2026 年四大会议一共有多少篇理论 · learning theory论文？
- 共 1,350 篇，按年份分别是 2023 年 86 篇、2024 年 393 篇、2025 年 389 篇、2026 年 482 篇。
- NeurIPS 2026 有多少篇理论 · learning theory论文？
- NeurIPS 2026 有 112 篇理论 · learning theory论文，上一届是 106 篇。
- ICLR 2026 有多少篇理论 · learning theory论文？
- ICLR 2026 有 200 篇理论 · learning theory论文，上一届是 147 篇。
- ICML 2026 有多少篇理论 · learning theory论文？
- ICML 2026 有 170 篇理论 · learning theory论文，上一届是 132 篇。
- CVPR 2025 有多少篇理论 · learning theory论文？
- CVPR 2025 有 4 篇理论 · learning theory论文，上一届是 1 篇。
- 哪个会议的理论 · learning theory论文最多？
- NeurIPS，2023–2026 年共 540 篇。