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 540 篇，第 10 / 11 页

  1. NeurIPS 2024The Power of Resets in Online Reinforcement Learning
  2. NeurIPS 2024The Price of Implicit Bias in Adversarially Robust Generalization
  3. NeurIPS 2024The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems
  4. NeurIPS 2024The Sample Complexity of Gradient Descent in Stochastic Convex Optimization
  5. NeurIPS 2024Theoretical Foundations of Deep Selective State-Space Models
  6. NeurIPS 2024Tight Bounds for Learning RUMs from Small Slates
  7. NeurIPS 2024Tolerant Algorithms for Learning with Arbitrary Covariate Shift
  8. NeurIPS 2024Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
  9. NeurIPS 2024Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
  10. NeurIPS 2024Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
  11. NeurIPS 2024Towards a theory of how the structure of language is acquired by deep neural networks
  12. NeurIPS 2024Towards the Dynamics of a DNN Learning Symbolic Interactions
  13. NeurIPS 2024Trade-Offs of Diagonal Fisher Information Matrix Estimators
  14. NeurIPS 2024Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification
  15. NeurIPS 2024Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
  16. NeurIPS 2024Transductive Learning is Compact
  17. NeurIPS 2024Transfer Learning for Latent Variable Network Models
  18. NeurIPS 2024Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization
  19. NeurIPS 2024Transformers are Minimax Optimal Nonparametric In-Context Learners
  20. NeurIPS 2024Understanding Model Selection for Learning in Strategic Environments
  21. NeurIPS 2024Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
  22. NeurIPS 2024Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
  23. NeurIPS 2024Understanding the Gains from Repeated Self-Distillation
  24. NeurIPS 2024Understanding the Role of Equivariance in Self-supervised Learning
  25. NeurIPS 2024Universal Rates for Active Learning
  26. NeurIPS 2024Universal Rates of Empirical Risk Minimization
  27. NeurIPS 2024Universality in Transfer Learning for Linear Models
  28. NeurIPS 2024Unravelling in Collaborative Learning
  29. NeurIPS 2024Unrolled denoising networks provably learn to perform optimal Bayesian inference
  30. NeurIPS 2024Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
  31. NeurIPS 2024Variance estimation in compound decision theory under boundedness
  32. NeurIPS 2024Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds
  33. NeurIPS 2024Wide Two-Layer Networks can Learn from Adversarial Perturbations
  34. NeurIPS 2023$\varepsilon$-fractional core stability in Hedonic Games.
  35. NeurIPS 2023A Measure-Theoretic Axiomatisation of Causality
  36. NeurIPS 2023A Theory of Multimodal Learning
  37. NeurIPS 2023A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
  38. NeurIPS 2023Accelerating Value Iteration with Anchoring
  39. NeurIPS 2023Agnostic Multi-Group Active Learning
  40. NeurIPS 2023Alternation makes the adversary weaker in two-player games
  41. NeurIPS 2023Bandit Social Learning under Myopic Behavior
  42. NeurIPS 2023Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space
  43. NeurIPS 2023Bridging RL Theory and Practice with the Effective Horizon
  44. NeurIPS 2023Characterization of Overfitting in Robust Multiclass Classification
  45. NeurIPS 2023Common Ground in Cooperative Communication
  46. NeurIPS 2023Delegated Classification
  47. NeurIPS 2023Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
  48. NeurIPS 2023Equivariant Neural Operator Learning with Graphon Convolution
  49. NeurIPS 2023Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
  50. NeurIPS 2023Faster Relative Entropy Coding with Greedy Rejection Coding

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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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