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 354 篇，第 6 / 8 页

  1. NeurIPS 2023Direct Training of SNN using Local Zeroth Order Method
  2. NeurIPS 2023Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
  3. NeurIPS 2023Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
  4. NeurIPS 2023Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement
  5. NeurIPS 2023Dynamic Regret of Adversarial Linear Mixture MDPs
  6. NeurIPS 2023Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities
  7. NeurIPS 2023Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
  8. NeurIPS 2023EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
  9. NeurIPS 2023Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
  10. NeurIPS 2023Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model
  11. NeurIPS 2023Fantastic Robustness Measures: The Secrets of Robust Generalization
  12. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
  13. NeurIPS 2023Gaussian Mixture Solvers for Diffusion Models
  14. NeurIPS 2023Generalization in the Face of Adaptivity: A Bayesian Perspective
  15. NeurIPS 2023Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport
  16. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
  17. NeurIPS 2023Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
  18. NeurIPS 2023Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
  19. NeurIPS 2023Group Robust Classification Without Any Group Information
  20. NeurIPS 2023Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
  21. NeurIPS 2023Imbalanced Mixed Linear Regression
  22. NeurIPS 2023Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability
  23. NeurIPS 2023Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise
  24. NeurIPS 2023Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training
  25. NeurIPS 2023Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
  26. NeurIPS 2023Intriguing Properties of Quantization at Scale
  27. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
  28. NeurIPS 2023Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
  29. NeurIPS 2023Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
  30. NeurIPS 2023Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
  31. NeurIPS 2023Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
  32. NeurIPS 2023Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
  33. NeurIPS 2023Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams
  34. NeurIPS 2023Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
  35. NeurIPS 2023MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification
  36. NeurIPS 2023Near Optimal Reconstruction of Spherical Harmonic Expansions
  37. NeurIPS 2023No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling
  38. NeurIPS 2023No-Regret Online Prediction with Strategic Experts
  39. NeurIPS 2023Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
  40. NeurIPS 2023Objaverse-XL: A Universe of 10M+ 3D Objects
  41. NeurIPS 2023Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
  42. NeurIPS 2023On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy
  43. NeurIPS 2023On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
  44. NeurIPS 2023On the Connection between Pre-training Data Diversity and Fine-tuning Robustness
  45. NeurIPS 2023On the Convergence of CART under Sufficient Impurity Decrease Condition
  46. NeurIPS 2023On the Convergence of Encoder-only Shallow Transformers
  47. NeurIPS 2023On the Exploration of Local Significant Differences For Two-Sample Test
  48. NeurIPS 2023On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
  49. NeurIPS 2023On the Identifiability and Interpretability of Gaussian Process Models
  50. NeurIPS 2023On the Implicit Bias of Linear Equivariant Steerable Networks

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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