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 389 篇，第 4 / 8 页

  1. ICLR 2025When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
  2. ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
  3. ICML 2025A Generalization Theory for Zero-Shot Prediction
  4. ICML 2025A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
  5. ICML 2025A Parametric Contextual Online Learning Theory of Brokerage
  6. ICML 2025A Theory for Conditional Generative Modeling on Multiple Data Sources
  7. ICML 2025A Two-Stage Learning-to-Defer Approach for Multi-Task Learning
  8. ICML 2025A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features
  9. ICML 2025A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation
  10. ICML 2025A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games
  11. ICML 2025Adversarial Robust Generalization of Graph Neural Networks
  12. ICML 2025Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
  13. ICML 2025Algorithms with Calibrated Machine Learning Predictions
  14. ICML 2025All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
  15. ICML 2025An analytic theory of creativity in convolutional diffusion models
  16. ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
  17. ICML 2025An Error Analysis of Flow Matching for Deep Generative Modeling
  18. ICML 2025Anytime-Constrained Equilibria in Polynomial Time
  19. ICML 2025Approximation to Smooth Functions by Low-Rank Swish Networks
  20. ICML 2025Batch List-Decodable Linear Regression via Higher Moments
  21. ICML 2025BCE vs. CE in Deep Feature Learning
  22. ICML 2025Best of Both Worlds: Regret Minimization versus Minimax Play
  23. ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
  24. ICML 2025Compact Matrix Quantum Group Equivariant Neural Networks
  25. ICML 2025Consensus Is All You Get: The Role of Attention in Transformers
  26. ICML 2025Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization
  27. ICML 2025Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
  28. ICML 2025Design Considerations in Offline Preference-based RL
  29. ICML 2025Dimension-Independent Rates for Structured Neural Density Estimation
  30. ICML 2025Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
  31. ICML 2025Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
  32. ICML 2025Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
  33. ICML 2025Ehrenfeucht-Haussler Rank and Chain of Thought
  34. ICML 2025Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
  35. ICML 2025Equivariant Neural Tangent Kernels
  36. ICML 2025Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
  37. ICML 2025Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
  38. ICML 2025Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices
  39. ICML 2025Fully Dynamic Embedding into $\ell_p$ Spaces
  40. ICML 2025Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds
  41. ICML 2025Generalization Analysis for Controllable Learning
  42. ICML 2025Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
  43. ICML 2025Generalization and Robustness of the Tilted Empirical Risk
  44. ICML 2025Generalization in Federated Learning: A Conditional Mutual Information Framework
  45. ICML 2025Generation from Noisy Examples
  46. ICML 2025GL-LowPopArt: A Nearly Instance-Wise Minimax-Optimal Estimator for Generalized Low-Rank Trace Regression
  47. ICML 2025Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
  48. ICML 2025Grokking at the Edge of Linear Separability
  49. ICML 2025Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
  50. ICML 2025How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias

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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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