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 477 篇，第 9 / 10 页

  1. ICLR 2024lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
  2. ICLR 2024Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
  3. ICLR 2024Memorization Capacity of Multi-Head Attention in Transformers
  4. ICLR 2024Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
  5. ICLR 2024Minimum width for universal approximation using ReLU networks on compact domain
  6. ICLR 2024More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
  7. ICLR 2024Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
  8. ICLR 2024Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
  9. ICLR 2024Noisy Interpolation Learning with Shallow Univariate ReLU Networks
  10. ICLR 2024On Representation Complexity of Model-based and Model-free Reinforcement Learning
  11. ICLR 2024On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
  12. ICLR 2024On the hardness of learning under symmetries
  13. ICLR 2024On the Limitations of Temperature Scaling for Distributions with Overlaps
  14. ICLR 2024On the Provable Advantage of Unsupervised Pretraining
  15. ICLR 2024One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention
  16. ICLR 2024Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
  17. ICLR 2024OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
  18. ICLR 2024Optimal Sample Complexity of Contrastive Learning
  19. ICLR 2024Oracle Efficient Algorithms for Groupwise Regret
  20. ICLR 2024Out-Of-Domain Unlabeled Data Improves Generalization
  21. ICLR 2024Plugin estimators for selective classification with out-of-distribution detection
  22. ICLR 2024Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
  23. ICLR 2024Provable Offline Preference-Based Reinforcement Learning
  24. ICLR 2024Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification
  25. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
  26. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
  27. ICLR 2024Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
  28. ICLR 2024Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
  29. ICLR 2024Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
  30. ICLR 2024Sample-Efficient Multi-Agent RL: An Optimization Perspective
  31. ICLR 2024Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization
  32. ICLR 2024Scaling Laws for Associative Memories
  33. ICLR 2024SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
  34. ICLR 2024Simplifying Transformer Blocks
  35. ICLR 2024Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
  36. ICLR 2024Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
  37. ICLR 2024Spectrally Transformed Kernel Regression
  38. ICLR 2024Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
  39. ICLR 2024Stochastic Modified Equations and Dynamics of Dropout Algorithm
  40. ICLR 2024Symmetric Single Index Learning
  41. ICLR 2024The Effective Horizon Explains Deep RL Performance in Stochastic Environments
  42. ICLR 2024The Expressive Power of Low-Rank Adaptation
  43. ICLR 2024The Human-AI Substitution game: active learning from a strategic labeler
  44. ICLR 2024The optimality of kernel classifiers in Sobolev space
  45. ICLR 2024Theoretical Understanding of Learning from Adversarial Perturbations
  46. ICLR 2024Tight Rates in Supervised Outlier Transfer Learning
  47. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
  48. ICLR 2024Towards Establishing Guaranteed Error for Learned Database Operations
  49. ICLR 2024Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
  50. ICLR 2024Towards the Fundamental Limits of Knowledge Transfer over Finite Domains

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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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