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 103 篇，第 2 / 3 页

  1. CVPR 2025LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
  2. CVPR 2025LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
  3. CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
  4. CVPR 2025Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
  5. CVPR 2025Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation
  6. CVPR 2025Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
  7. CVPR 2025Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
  8. CVPR 2025MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
  9. CVPR 2025Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
  10. CVPR 2025MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
  11. CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
  12. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
  13. CVPR 2025Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
  14. CVPR 2025Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
  15. CVPR 2025OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
  16. CVPR 2025Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
  17. CVPR 2025Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
  18. CVPR 2025Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
  19. CVPR 2025Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
  20. CVPR 2025PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
  21. CVPR 2025Pose-Guided Temporal Enhancement for Robust Low-Resolution Hand Reconstruction
  22. CVPR 2025Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
  23. CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
  24. CVPR 2025Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
  25. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
  26. CVPR 2025Query Efficient Black-Box Visual Prompting with Subspace Learning
  27. CVPR 2025R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner
  28. CVPR 2025Realistic Test-Time Adaptation of Vision-Language Models
  29. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
  30. CVPR 2025Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
  31. CVPR 2025Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
  32. CVPR 2025Sample- and Parameter-Efficient Auto-Regressive Image Models
  33. CVPR 2025Scale Efficient Training for Large Datasets
  34. CVPR 2025Sea-ing in Low-light
  35. CVPR 2025Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
  36. CVPR 2025Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
  37. CVPR 2025SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction
  38. CVPR 2025Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
  39. CVPR 2025SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
  40. CVPR 2025Split Adaptation for Pre-trained Vision Transformers
  41. CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
  42. CVPR 2025Star with Bilinear Mapping
  43. CVPR 2025SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation
  44. CVPR 2025Task Singular Vectors: Reducing Task Interference in Model Merging
  45. CVPR 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
  46. CVPR 2025TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
  47. CVPR 2025Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
  48. CVPR 2025Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
  49. CVPR 2025Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
  50. CVPR 2025UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

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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