混合专家论文趋势 2023–2026

MoE 路由与训练

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 904 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

混合专家论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202313816766236
20245524319119
202586595721223
2026757313246326

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

全部混合专家论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 236 篇，第 4 / 5 页

  1. NeurIPS 2023Group Robust Classification Without Any Group Information
  2. NeurIPS 2023Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
  3. NeurIPS 2023Imbalanced Mixed Linear Regression
  4. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
  5. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
  6. NeurIPS 2023Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
  7. NeurIPS 2023Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
  8. NeurIPS 2023Intriguing Properties of Quantization at Scale
  9. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
  10. NeurIPS 2023Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
  11. NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
  12. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
  13. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
  14. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
  15. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
  16. NeurIPS 2023Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
  17. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
  18. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
  19. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
  20. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
  21. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
  22. NeurIPS 2023Objaverse-XL: A Universe of 10M+ 3D Objects
  23. NeurIPS 2023Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
  24. NeurIPS 2023On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
  25. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
  26. NeurIPS 2023On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
  27. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
  28. NeurIPS 2023On the Convergence of Encoder-only Shallow Transformers
  29. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
  30. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
  31. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
  32. NeurIPS 2023On the Implicit Bias of Linear Equivariant Steerable Networks
  33. NeurIPS 2023On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
  34. NeurIPS 2023On the Size and Approximation Error of Distilled Datasets
  35. NeurIPS 2023On the Variance, Admissibility, and Stability of Empirical Risk Minimization
  36. NeurIPS 2023One-step differentiation of iterative algorithms
  37. NeurIPS 2023Opening the Vocabulary of Egocentric Actions
  38. NeurIPS 2023Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
  39. NeurIPS 2023Optimization of Inter-group criteria for clustering with minimum size constraints
  40. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
  41. NeurIPS 2023PoET: A generative model of protein families as sequences-of-sequences
  42. NeurIPS 2023Predict-then-Calibrate: A New Perspective of Robust Contextual LP
  43. NeurIPS 2023Private estimation algorithms for stochastic block models and mixture models
  44. NeurIPS 2023Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond
  45. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
  46. NeurIPS 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
  47. NeurIPS 2023Reconciling Competing Sampling Strategies of Network Embedding
  48. NeurIPS 2023Regularization properties of adversarially-trained linear regression
  49. NeurIPS 2023Representational Strengths and Limitations of Transformers
  50. NeurIPS 2023Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查混合专家在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "mixture-of-experts"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇混合专家论文？
共 904 篇，按年份分别是 2023 年 236 篇、2024 年 119 篇、2025 年 223 篇、2026 年 326 篇。
NeurIPS 2026 有多少篇混合专家论文？
NeurIPS 2026 有 75 篇混合专家论文，上一届是 86 篇。
ICLR 2026 有多少篇混合专家论文？
ICLR 2026 有 73 篇混合专家论文，上一届是 59 篇。
ICML 2026 有多少篇混合专家论文？
ICML 2026 有 132 篇混合专家论文，上一届是 57 篇。
CVPR 2026 有多少篇混合专家论文？
CVPR 2026 有 46 篇混合专家论文，上一届是 21 篇。
哪个会议的混合专家论文最多？
NeurIPS，2023–2026 年共 354 篇。

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