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 282 篇，第 4 / 6 页

  1. ICML 2023Domain Adaptation for Time Series Under Feature and Label Shifts
  2. ICML 2023Double-Weighting for Covariate Shift Adaptation
  3. ICML 2023Efficient List-Decodable Regression using Batches
  4. ICML 2023Efficient Personalized Federated Learning via Sparse Model-Adaptation
  5. ICML 2023ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
  6. ICML 2023Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  7. ICML 2023Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
  8. ICML 2023Flash: Concept Drift Adaptation in Federated Learning
  9. ICML 2023Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
  10. ICML 2023Geometric Autoencoders - What You See is What You Decode
  11. ICML 2023Hierarchical Imitation Learning with Vector Quantized Models
  12. ICML 2023Human-Timescale Adaptation in an Open-Ended Task Space
  13. ICML 2023HyperTuning: Toward Adapting Large Language Models without Back-propagation
  14. ICML 2023Improved Algorithms for White-Box Adversarial Streams
  15. ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
  16. ICML 2023Last Switch Dependent Bandits with Monotone Payoff Functions
  17. ICML 2023Learning in POMDPs is Sample-Efficient with Hindsight Observability
  18. ICML 2023Learning-Rate-Free Learning by D-Adaptation
  19. ICML 2023LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
  20. ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
  21. ICML 2023Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
  22. ICML 2023Mechanistic Mode Connectivity
  23. ICML 2023Multi-User Reinforcement Learning with Low Rank Rewards
  24. ICML 2023Naive imputation implicitly regularizes high-dimensional linear models
  25. ICML 2023NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
  26. ICML 2023Offline Meta Reinforcement Learning with In-Distribution Online Adaptation
  27. ICML 2023On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
  28. ICML 2023On Pitfalls of Test-Time Adaptation
  29. ICML 2023On the Role of Attention in Prompt-tuning
  30. ICML 2023One-sided Matrix Completion from Two Observations Per Row
  31. ICML 2023Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
  32. ICML 2023Provable Dynamic Fusion for Low-Quality Multimodal Data
  33. ICML 2023Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
  34. ICML 2023Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
  35. ICML 2023RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
  36. ICML 2023Reinforcement Learning Can Be More Efficient with Multiple Rewards
  37. ICML 2023Reinforcement Learning in Low-rank MDPs with Density Features
  38. ICML 2023RLSbench: Domain Adaptation Under Relaxed Label Shift
  39. ICML 2023Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
  40. ICML 2023Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
  41. ICML 2023Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
  42. ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
  43. ICML 2023Structural Re-weighting Improves Graph Domain Adaptation
  44. ICML 2023SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
  45. ICML 2023Taxonomy-Structured Domain Adaptation
  46. ICML 2023The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
  47. ICML 2023The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
  48. ICML 2023Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming
  49. ICML 2023Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
  50. ICML 2023Toward Efficient Gradient-Based Value Estimation

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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