低秩适配论文趋势 2023–2026

LoRA 与参数高效微调

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,273 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

低秩适配论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202378766563282
202419395124106518
2025241152136103632
2026269184240148841

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

全部低秩适配论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 2,272 篇，第 46 / 46 页

  1. NeurIPS 2023Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
  2. NeurIPS 2023Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
  3. NeurIPS 2023Robust low-rank training via approximate orthonormal constraints
  4. NeurIPS 2023Robust Matrix Sensing in the Semi-Random Model
  5. NeurIPS 2023Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing
  6. NeurIPS 2023Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
  7. NeurIPS 2023Sharpness-Aware Minimization Leads to Low-Rank Features
  8. NeurIPS 2023SODA: Robust Training of Test-Time Data Adaptors
  9. NeurIPS 2023Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
  10. NeurIPS 2023Stable and low-precision training for large-scale vision-language models
  11. NeurIPS 2023Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference
  12. NeurIPS 2023Switching Autoregressive Low-rank Tensor Models
  13. NeurIPS 2023The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
  14. NeurIPS 2023The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
  15. NeurIPS 2023Towards Efficient and Accurate Winograd Convolution via Full Quantization
  16. NeurIPS 2023Towards Higher Ranks via Adversarial Weight Pruning
  17. NeurIPS 2023Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
  18. NeurIPS 2023Transformers learn through gradual rank increase
  19. NeurIPS 2023Unbalanced Low-rank Optimal Transport Solvers
  20. NeurIPS 2023Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
  21. NeurIPS 2023Universality and Limitations of Prompt Tuning
  22. NeurIPS 2023Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model

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 查低秩适配在 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": "low-rank-adaptation"}

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低秩适配论文？
共 2,273 篇，按年份分别是 2023 年 282 篇、2024 年 518 篇、2025 年 632 篇、2026 年 841 篇。
NeurIPS 2026 有多少篇低秩适配论文？
NeurIPS 2026 有 269 篇低秩适配论文，上一届是 241 篇。
ICLR 2026 有多少篇低秩适配论文？
ICLR 2026 有 184 篇低秩适配论文，上一届是 152 篇。
ICML 2026 有多少篇低秩适配论文？
ICML 2026 有 240 篇低秩适配论文，上一届是 136 篇。
CVPR 2026 有多少篇低秩适配论文？
CVPR 2026 有 148 篇低秩适配论文，上一届是 103 篇。
哪个会议的低秩适配论文最多？
NeurIPS，2023–2026 年共 781 篇。

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