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 328 篇，第 4 / 7 页

  1. ICML 2026Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models
  2. ICML 2026Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
  3. ICML 2026Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning
  4. ICML 2026To Grok Grokking: Provable Grokking in Ridge Regression
  5. ICML 2026Token Sample Complexity of Attention
  6. ICML 2026Towards Atoms of Large Language Models
  7. ICML 2026Towards Spectroscopy: Susceptibility Clusters in Language Models
  8. ICML 2026Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression
  9. ICML 2026Towards Understanding Generalization of Federated Adversarial Learning: Perspective of Algorithmic Stability
  10. ICML 2026Trajectory Seriation via Spectral Tangent Alignment and Global Embedding
  11. ICML 2026Transformers Efficiently Perform In-Context Logistic Regression via Normalized Gradient Descent
  12. ICML 2026Understanding Generalization from Embedding Dimension and Distributional Convergence
  13. ICML 2026Understanding Private Learning From Feature Perspective
  14. ICML 2026Unifying Low Dimensional Spectra in Deep Learning
  15. ICML 2026Universal Learning of Nonlinear Dynamics
  16. ICML 2026Universal Multiclass Transductive Online Learning
  17. ICML 2026What Does Preference Learning Recover from Pairwise Comparison Data?
  18. ICML 2026Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models
  19. ICML 2026Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
  20. ICML 2026Why Self-Distillation Helps and Hurts: Denoising vs. Signal Forgetting
  21. ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
  22. ICML 2025A Generalization Theory for Zero-Shot Prediction
  23. ICML 2025A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
  24. ICML 2025A Parametric Contextual Online Learning Theory of Brokerage
  25. ICML 2025A Theory for Conditional Generative Modeling on Multiple Data Sources
  26. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
  27. ICML 2025A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
  28. ICML 2025A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
  29. ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
  30. ICML 2025Adversarial Robust Generalization of Graph Neural Networks
  31. ICML 2025Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
  32. ICML 2025Algorithms with Calibrated Machine Learning Predictions
  33. ICML 2025All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
  34. ICML 2025An analytic theory of creativity in convolutional diffusion models
  35. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
  36. ICML 2025An Error Analysis of Flow Matching for Deep Generative Modeling
  37. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
  38. ICML 2025Approximation to Smooth Functions by Low-Rank Swish Networks
  39. ICML 2025Batch List-Decodable Linear Regression via Higher Moments
  40. ICML 2025BCE vs. CE in Deep Feature Learning
  41. ICML 2025Best of Both Worlds: Regret Minimization versus Minimax Play
  42. ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
  43. ICML 2025Compact Matrix Quantum Group Equivariant Neural Networks
  44. ICML 2025Consensus Is All You Get: The Role of Attention in Transformers
  45. ICML 2025Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
  46. ICML 2025Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
  47. ICML 2025Design Considerations in Offline Preference-based RL
  48. ICML 2025Dimension-Independent Rates for Structured Neural Density Estimation
  49. ICML 2025Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
  50. ICML 2025Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal

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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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