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

每年论文数

各会议论文数

按年份和会议统计

理论 · learning theory论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202357245086
2024265106211393
20251061471324389
20261122001700482

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

全部理论 · learning theory论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,350 篇，第 24 / 27 页

  1. NeurIPS 2024Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
  2. NeurIPS 2024Non-asymptotic Convergence of Training Transformers for Next-token Prediction
  3. NeurIPS 2024Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
  4. NeurIPS 2024Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality
  5. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
  6. NeurIPS 2024On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
  7. NeurIPS 2024On the Ability of Developers' Training Data Preservation of Learnware
  8. NeurIPS 2024On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
  9. NeurIPS 2024On the Computational Landscape of Replicable Learning
  10. NeurIPS 2024On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
  11. NeurIPS 2024On the Efficiency of ERM in Feature Learning
  12. NeurIPS 2024On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
  13. NeurIPS 2024On the Limitations of Fractal Dimension as a Measure of Generalization
  14. NeurIPS 2024On the Power of Decision Trees in Auto-Regressive Language Modeling
  15. NeurIPS 2024On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
  16. NeurIPS 2024On the Role of Attention Masks and LayerNorm in Transformers
  17. NeurIPS 2024On the Saturation Effects of Spectral Algorithms in Large Dimensions
  18. NeurIPS 2024On the Sparsity of the Strong Lottery Ticket Hypothesis
  19. NeurIPS 2024On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity
  20. NeurIPS 2024One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
  21. NeurIPS 2024Online Consistency of the Nearest Neighbor Rule
  22. NeurIPS 2024Online Weighted Paging with Unknown Weights
  23. NeurIPS 2024Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
  24. NeurIPS 2024Optimal Algorithms for Augmented Testing of Discrete Distributions
  25. NeurIPS 2024Optimal Algorithms for Learning Partitions with Faulty Oracles
  26. NeurIPS 2024Optimal deep learning of holomorphic operators between Banach spaces
  27. NeurIPS 2024Optimal Hypothesis Selection in (Almost) Linear Time
  28. NeurIPS 2024Optimal Parallelization of Boosting
  29. NeurIPS 2024Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
  30. NeurIPS 2024Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
  31. NeurIPS 2024Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
  32. NeurIPS 2024PAC-Bayes-Chernoff bounds for unbounded losses
  33. NeurIPS 2024Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
  34. NeurIPS 2024Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
  35. NeurIPS 2024Prospective Learning: Learning for a Dynamic Future
  36. NeurIPS 2024Provable Benefit of Cutout and CutMix for Feature Learning
  37. NeurIPS 2024Provable Benefits of Complex Parameterizations for Structured State Space Models
  38. NeurIPS 2024Provable Tempered Overfitting of Minimal Nets and Typical Nets
  39. NeurIPS 2024Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
  40. NeurIPS 2024Quantifying the Gain in Weak-to-Strong Generalization
  41. NeurIPS 2024Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
  42. NeurIPS 2024Randomized Truthful Auctions with Learning Agents
  43. NeurIPS 2024Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
  44. NeurIPS 2024Reciprocal Learning
  45. NeurIPS 2024Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
  46. NeurIPS 2024Reliable Learning of Halfspaces under Gaussian Marginals
  47. NeurIPS 2024Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma
  48. NeurIPS 2024Replicable Uniformity Testing
  49. NeurIPS 2024Rethinking 3D Convolution in $\ell_p$-norm Space
  50. NeurIPS 2024Robust Mixture Learning when Outliers Overwhelm Small Groups

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用 paperlist 查理论 · learning theory在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

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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。

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