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
- 低秩适配论文从 2023 年的 282 篇增长到 2026 年的 841 篇,三年间扩大到约 3.0 倍。
- NeurIPS 是发低秩适配论文最多的会议,2023–2026 年共 781 篇,占四个会议总量的 34%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 61 篇。
- 在「优化与缩放」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的缩放定律是 4.1 倍,低秩适配是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 78 | 76 | 65 | 63 | 282 |
| 2024 | 193 | 95 | 124 | 106 | 518 |
| 2025 | 241 | 152 | 136 | 103 | 632 |
| 2026 | 269 | 184 | 240 | 148 | 841 |
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
- NeurIPS 2026$\delta$-Mem: : Efficient Online Memory For Large Language Models
- ICML 2026A3: an Analytical Low-Rank Approximation Framework for Attention
- ICLR 2026A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space
- CVPR 20262-Shots in the Dark Low-Light Denoising with Minimal Data Acquisition
- NeurIPS 2025A geometric framework for momentum-based optimizers for low-rank training
- ICML 2025Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
- ICLR 2025A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
- CVPR 2025AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation
- NeurIPS 2024Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
- ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
- ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
- CVPR 2024DePT: Decoupled Prompt Tuning
- NeurIPS 2023A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression
- ICML 2023A Three-regime Model of Network Pruning
- ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
- CVPR 20231% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
- NeurIPS 2026A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction
- ICML 2026Adaptive Utilization of Low-Rank Adaptation via Conditioned Gating
- ICLR 2026ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
- CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
全部低秩适配论文
共 632 篇,第 2 / 13 页
- CVPR 2025LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
- CVPR 2025LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
- CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
- CVPR 2025Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
- CVPR 2025Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation
- CVPR 2025Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
- CVPR 2025Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
- CVPR 2025MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
- CVPR 2025Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
- CVPR 2025MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
- CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
- CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
- CVPR 2025Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
- CVPR 2025Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
- CVPR 2025OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
- CVPR 2025Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
- CVPR 2025Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
- CVPR 2025Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
- CVPR 2025Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
- CVPR 2025PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
- CVPR 2025Pose-Guided Temporal Enhancement for Robust Low-Resolution Hand Reconstruction
- CVPR 2025Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
- CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
- CVPR 2025Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
- CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
- CVPR 2025Query Efficient Black-Box Visual Prompting with Subspace Learning
- CVPR 2025R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner
- CVPR 2025Realistic Test-Time Adaptation of Vision-Language Models
- CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
- CVPR 2025Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
- CVPR 2025Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
- CVPR 2025Sample- and Parameter-Efficient Auto-Regressive Image Models
- CVPR 2025Scale Efficient Training for Large Datasets
- CVPR 2025Sea-ing in Low-light
- CVPR 2025Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
- CVPR 2025Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
- CVPR 2025SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction
- CVPR 2025Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
- CVPR 2025SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
- CVPR 2025Split Adaptation for Pre-trained Vision Transformers
- CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
- CVPR 2025Star with Bilinear Mapping
- CVPR 2025SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation
- CVPR 2025Task Singular Vectors: Reducing Task Interference in Model Merging
- CVPR 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
- CVPR 2025TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
- CVPR 2025Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
- CVPR 2025Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
- CVPR 2025Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
- 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"}
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。