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 18 / 27 页

  1. NeurIPS 2025Sharp Matrix Empirical Bernstein Inequalities
  2. NeurIPS 2025Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
  3. NeurIPS 2025Smoothed Agnostic Learning of Halfspaces over the Hypercube
  4. NeurIPS 2025Spectral Analysis of Representational Similarity with Limited Neurons
  5. NeurIPS 2025Spectral Estimation with Free Decompression
  6. NeurIPS 2025State Size Independent Statistical Error Bound for Discrete Diffusion Models
  7. NeurIPS 2025Streaming Attention Approximation via Discrepancy Theory
  8. NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
  9. NeurIPS 2025The Complexity of Finding Local Optima in Contrastive Learning
  10. NeurIPS 2025The Computational Complexity of Counting Linear Regions in ReLU Neural Networks
  11. NeurIPS 2025The Flood Complex: Large-Scale Persistent Homology on Millions of Points
  12. NeurIPS 2025The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
  13. NeurIPS 2025Tight Asymptotics of Extreme Order Statistics
  14. NeurIPS 2025Tight Generalization Bounds for Large-Margin Halfspaces
  15. NeurIPS 2025Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
  16. NeurIPS 2025Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
  17. NeurIPS 2025Two Heads are Better than One: Simulating Large Transformers with Small Ones
  18. NeurIPS 2025Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
  19. NeurIPS 2025What Expressivity Theory Misses: Message Passing Complexity for GNNs
  20. NeurIPS 2025When Does Curriculum Learning Help? A Theoretical Perspective
  21. NeurIPS 2025Which Algorithms Have Tight Generalization Bounds?
  22. CVPR 2024Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
  23. ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
  24. ICLR 2024A path-norm toolkit for modern networks: consequences, promises and challenges
  25. ICLR 2024A Policy Gradient Method for Confounded POMDPs
  26. ICLR 2024A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
  27. ICLR 2024A Sublinear Adversarial Training Algorithm
  28. ICLR 2024Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
  29. ICLR 2024Adaptive Regret for Bandits Made Possible: Two Queries Suffice
  30. ICLR 2024Algorithms for Caching and MTS with reduced number of predictions
  31. ICLR 2024An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
  32. ICLR 2024An Efficient Tester-Learner for Halfspaces
  33. ICLR 2024Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity
  34. ICLR 2024Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
  35. ICLR 2024Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
  36. ICLR 2024BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
  37. ICLR 2024Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
  38. ICLR 2024Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
  39. ICLR 2024Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
  40. ICLR 2024Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
  41. ICLR 2024Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
  42. ICLR 2024Convergence of Bayesian Bilevel Optimization
  43. ICLR 2024Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
  44. ICLR 2024Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
  45. ICLR 2024Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization
  46. ICLR 2024Enhancing Neural Training via a Correlated Dynamics Model
  47. ICLR 2024Fantastic Generalization Measures are Nowhere to be Found
  48. ICLR 2024Feature Collapse
  49. ICLR 2024Feature emergence via margin maximization: case studies in algebraic tasks
  50. ICLR 2024Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem

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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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