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 389 篇，第 8 / 8 页
- NeurIPS 2025On Transferring Transferability: Towards a Theory for Size Generalization
- NeurIPS 2025On Universality Classes of Equivariant Networks
- NeurIPS 2025Online Learning in the Repeated Mediated Newsvendor Problem
- NeurIPS 2025Online Learning of Neural Networks
- NeurIPS 2025Optimism Without Regularization: Constant Regret in Zero-Sum Games
- NeurIPS 2025Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers
- NeurIPS 2025Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
- NeurIPS 2025Price of Parsimony: Complexity of Fourier Sparsity Testing
- NeurIPS 2025Product Distribution Learning with Imperfect Advice
- NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
- NeurIPS 2025Replicable Distribution Testing
- NeurIPS 2025Revisiting Agnostic Boosting
- NeurIPS 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems
- NeurIPS 2025Robust learning of halfspaces under log-concave marginals
- NeurIPS 2025Robustly Learning Monotone Single-Index Models
- NeurIPS 2025Safely Learning Controlled Stochastic Dynamics
- NeurIPS 2025Sample-Conditional Coverage in Split-Conformal Prediction
- NeurIPS 2025Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
- NeurIPS 2025Sharp Matrix Empirical Bernstein Inequalities
- NeurIPS 2025Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
- NeurIPS 2025Smoothed Agnostic Learning of Halfspaces over the Hypercube
- NeurIPS 2025Spectral Analysis of Representational Similarity with Limited Neurons
- NeurIPS 2025Spectral Estimation with Free Decompression
- NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
- NeurIPS 2025Streaming Attention Approximation via Discrepancy Theory
- NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
- NeurIPS 2025The Complexity of Finding Local Optima in Contrastive Learning
- NeurIPS 2025The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
- NeurIPS 2025The Flood Complex: Large-Scale Persistent Homology on Millions of Points
- NeurIPS 2025The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
- NeurIPS 2025Tight Asymptotics of Extreme Order Statistics
- NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
- NeurIPS 2025Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
- NeurIPS 2025Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
- NeurIPS 2025Two Heads are Better than One: Simulating Large Transformers with Small Ones
- NeurIPS 2025Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
- NeurIPS 2025What Expressivity Theory Misses: Message Passing Complexity for GNNs
- NeurIPS 2025When Does Curriculum Learning Help? A Theoretical Perspective
- NeurIPS 2025Which Algorithms Have Tight Generalization Bounds?
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。