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 6 / 11 页

  1. NeurIPS 2024Bayes-optimal learning of an extensive-width neural network from quadratically many samples
  2. NeurIPS 2024Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
  3. NeurIPS 2024Benign overfitting in leaky ReLU networks with moderate input dimension
  4. NeurIPS 2024Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension
  5. NeurIPS 2024Breaking the curse of dimensionality in structured density estimation
  6. NeurIPS 2024Building a stable classifier with the inflated argmax
  7. NeurIPS 2024Can neural operators always be continuously discretized?
  8. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
  9. NeurIPS 2024Clustering in Causal Attention Masking
  10. NeurIPS 2024Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
  11. NeurIPS 2024Clustering with Non-adaptive Subset Queries
  12. NeurIPS 2024Communication Bounds for the Distributed Experts Problem
  13. NeurIPS 2024Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond
  14. NeurIPS 2024Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
  15. NeurIPS 2024Contextual Decision-Making with Knapsacks Beyond the Worst Case
  16. NeurIPS 2024Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
  17. NeurIPS 2024Credal Learning Theory
  18. NeurIPS 2024Credit Attribution and Stable Compression
  19. NeurIPS 2024Cryptographic Hardness of Score Estimation
  20. NeurIPS 2024Data subsampling for Poisson regression with pth-root-link
  21. NeurIPS 2024Derandomizing Multi-Distribution Learning
  22. NeurIPS 2024Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
  23. NeurIPS 2024Differentiable Quantum Computing for Large-scale Linear Control
  24. NeurIPS 2024Dimension-free deterministic equivalents and scaling laws for random feature regression
  25. NeurIPS 2024Distributed Least Squares in Small Space via Sketching and Bias Reduction
  26. NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
  27. NeurIPS 2024Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
  28. NeurIPS 2024Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
  29. NeurIPS 2024Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
  30. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
  31. NeurIPS 2024Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
  32. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
  33. NeurIPS 2024Efficient Graph Matching for Correlated Stochastic Block Models
  34. NeurIPS 2024Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
  35. NeurIPS 2024Entropy testing and its application to testing Bayesian networks
  36. NeurIPS 2024Entrywise error bounds for low-rank approximations of kernel matrices
  37. NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
  38. NeurIPS 2024Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
  39. NeurIPS 2024Euclidean distance compression via deep random features
  40. NeurIPS 2024Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
  41. NeurIPS 2024Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
  42. NeurIPS 2024Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
  43. NeurIPS 2024FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
  44. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
  45. NeurIPS 2024Generalizablity of Memorization Neural Network
  46. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
  47. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
  48. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
  49. NeurIPS 2024Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
  50. NeurIPS 2024Generalization of Hamiltonian algorithms

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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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