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 328 篇，第 7 / 7 页
- ICML 2025When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
- ICML 2025When do neural networks learn world models?
- ICML 2024A sampling theory perspective on activations for implicit neural representations
- ICML 2024A Statistical Theory of Regularization-Based Continual Learning
- ICML 2024A Theory of Fault-Tolerant Learning
- ICML 2024A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
- ICML 2024Critical windows: non-asymptotic theory for feature emergence in diffusion models
- ICML 2024Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
- ICML 2024Matrix Information Theory for Self-Supervised Learning
- ICML 2024Minimum Norm Interpolation Meets The Local Theory of Banach Spaces
- ICML 2024On Statistical Learning Theory for Distributional Inputs
- ICML 2024Open Ad Hoc Teamwork with Cooperative Game Theory
- ICML 2024PIDformer: Transformer Meets Control Theory
- ICML 2024Position: Categorical Deep Learning is an Algebraic Theory of All Architectures
- ICML 2024Position: Future Directions in the Theory of Graph Machine Learning
- ICML 2024Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
- ICML 2024Random matrix theory improved Fréchet mean of symmetric positive definite matrices
- ICML 2024Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
- ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
- ICML 2024Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
- ICML 2024Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling
- ICML 2024Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
- ICML 2024Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
- ICML 2023Certifying Ensembles: A General Certification Theory with S-Lipschitzness
- ICML 2023Fast Federated Machine Unlearning with Nonlinear Functional Theory
- ICML 2023Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
- ICML 2023Robust Collaborative Learning with Linear Gradient Overhead
- ICML 2023Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
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。