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

共 507 篇,第 5 / 11 页

  1. ICLR 2025CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
  2. ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
  3. ICLR 2025Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
  4. ICLR 2025COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
  5. ICLR 2025ComLoRA: A Competitive Learning Approach for Enhancing LoRA
  6. ICLR 2025Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
  7. ICLR 2025Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt
  8. ICLR 2025Continuous Exposure Learning for Low-light Image Enhancement using Neural ODEs
  9. ICLR 2025CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation
  10. ICLR 2025DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
  11. ICLR 2025DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
  12. ICLR 2025dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
  13. ICLR 2025Decoupling Angles and Strength in Low-rank Adaptation
  14. ICLR 2025DELIFT: Data Efficient Language model Instruction Fine-Tuning
  15. ICLR 2025Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
  16. ICLR 2025Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
  17. ICLR 2025Does SGD really happen in tiny subspaces?
  18. ICLR 2025Dynamic Low-Rank Sparse Adaptation for Large Language Models
  19. ICLR 2025Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  20. ICLR 2025DynaPrompt: Dynamic Test-Time Prompt Tuning
  21. ICLR 2025Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
  22. ICLR 2025Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model
  23. ICLR 2025Efficient Learning with Sine-Activated Low-Rank Matrices
  24. ICLR 2025Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
  25. ICLR 2025Efficient Model Editing with Task-Localized Sparse Fine-tuning
  26. ICLR 2025Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data
  27. ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
  28. ICLR 2025Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
  29. ICLR 2025Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
  30. ICLR 2025Ensembles of Low-Rank Expert Adapters
  31. ICLR 2025Estimating the Probabilities of Rare Outputs in Language Models
  32. ICLR 2025Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
  33. ICLR 2025Federated Residual Low-Rank Adaptation of Large Language Models
  34. ICLR 2025Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
  35. ICLR 2025Find A Winning Sign: Sign Is All We Need to Win the Lottery
  36. ICLR 2025Fine-tuning with Reserved Majority for Noise Reduction
  37. ICLR 2025Fitting Networks with a Cancellation Trick
  38. ICLR 2025Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
  39. ICLR 2025GeoLoRA: Geometric integration for parameter efficient fine-tuning
  40. ICLR 2025GraphBridge: Towards Arbitrary Transfer Learning in GNNs
  41. ICLR 2025HeadMap: Locating and Enhancing Knowledge Circuits in LLMs
  42. ICLR 2025HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
  43. ICLR 2025HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
  44. ICLR 2025How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
  45. ICLR 2025How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
  46. ICLR 2025KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
  47. ICLR 2025Lambda-Skip Connections: the architectural component that prevents Rank Collapse
  48. ICLR 2025Large Convolutional Model Tuning via Filter Subspace
  49. ICLR 2025LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics
  50. ICLR 2025Learning-Augmented Frequent Directions

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"}

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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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