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 22 / 27 页

  1. NeurIPS 2024Data subsampling for Poisson regression with pth-root-link
  2. NeurIPS 2024Derandomizing Multi-Distribution Learning
  3. NeurIPS 2024Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time
  4. NeurIPS 2024Differentiable Quantum Computing for Large-scale Linear Control
  5. NeurIPS 2024Dimension-free deterministic equivalents and scaling laws for random feature regression
  6. NeurIPS 2024Distributed Least Squares in Small Space via Sketching and Bias Reduction
  7. NeurIPS 2024Distribution Learning with Valid Outputs Beyond the Worst-Case
  8. NeurIPS 2024Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
  9. NeurIPS 2024Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
  10. NeurIPS 2024Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
  11. NeurIPS 2024ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
  12. NeurIPS 2024Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
  13. NeurIPS 2024Efficient Discrepancy Testing for Learning with Distribution Shift
  14. NeurIPS 2024Efficient Graph Matching for Correlated Stochastic Block Models
  15. NeurIPS 2024Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
  16. NeurIPS 2024Entropy testing and its application to testing Bayesian networks
  17. NeurIPS 2024Entrywise error bounds for low-rank approximations of kernel matrices
  18. NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
  19. NeurIPS 2024Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
  20. NeurIPS 2024Euclidean distance compression via deep random features
  21. NeurIPS 2024Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering
  22. NeurIPS 2024Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning
  23. NeurIPS 2024Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method
  24. NeurIPS 2024FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
  25. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
  26. NeurIPS 2024Generalizablity of Memorization Neural Network
  27. NeurIPS 2024Generalization Analysis for Label-Specific Representation Learning
  28. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
  29. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
  30. NeurIPS 2024Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
  31. NeurIPS 2024Generalization of Hamiltonian algorithms
  32. NeurIPS 2024Generalized Eigenvalue Problems with Generative Priors
  33. NeurIPS 2024Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
  34. NeurIPS 2024Generative Forests
  35. NeurIPS 2024Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
  36. NeurIPS 2024Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
  37. NeurIPS 2024Group-wise oracle-efficient algorithms for online multi-group learning
  38. NeurIPS 2024Hardness of Learning Neural Networks under the Manifold Hypothesis
  39. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
  40. NeurIPS 2024High-dimensional (Group) Adversarial Training in Linear Regression
  41. NeurIPS 2024How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?
  42. NeurIPS 2024How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
  43. NeurIPS 2024How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
  44. NeurIPS 2024How many classifiers do we need?
  45. NeurIPS 2024How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
  46. NeurIPS 2024How to Boost Any Loss Function
  47. NeurIPS 2024How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
  48. NeurIPS 2024Hyperbolic Embeddings of Supervised Models
  49. NeurIPS 2024Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees
  50. NeurIPS 2024Implicit Regularization Paths of Weighted Neural Representations

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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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