低秩适配论文趋势 2023–2026

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。

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 106 篇，第 1 / 3 页

1. CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
2. CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
3. CVPR 2024A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
4. CVPR 2024Active Domain Adaptation with False Negative Prediction for Object Detection
5. CVPR 2024Adapters Strike Back
6. CVPR 2024Adaptive Softassign via Hadamard-Equipped Sinkhorn
7. CVPR 2024ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
8. CVPR 2024Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
9. CVPR 2024Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
10. CVPR 2024Binarized Low-light Raw Video Enhancement
11. CVPR 2024Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
12. CVPR 2024Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
13. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
14. CVPR 2024Data-Free Quantization via Pseudo-label Filtering
15. CVPR 2024DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
16. CVPR 2024DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
17. CVPR 2024Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
18. CVPR 2024DePT: Decoupled Prompt Tuning
19. CVPR 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
20. CVPR 2024Differentiable Micro-Mesh Construction
21. CVPR 2024Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
22. CVPR 2024Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
23. CVPR 2024Driving Everywhere with Large Language Model Policy Adaptation
24. CVPR 2024Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
25. CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
26. CVPR 2024EasyDrag: Efficient Point-based Manipulation on Diffusion Models
27. CVPR 2024Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
28. CVPR 2024Efficient Model Stealing Defense with Noise Transition Matrix
29. CVPR 2024Efficient Scene Recovery Using Luminous Flux Prior
30. CVPR 2024Efficient Solution of Point-Line Absolute Pose
31. CVPR 2024Efficient Stitchable Task Adaptation
32. CVPR 2024Efficient Test-Time Adaptation of Vision-Language Models
33. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
34. CVPR 2024Federated Online Adaptation for Deep Stereo
35. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
36. CVPR 2024Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
37. CVPR 2024Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
38. CVPR 2024Generalized Event Cameras
39. CVPR 2024GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
40. CVPR 2024Gradient-based Parameter Selection for Efficient Fine-Tuning
41. CVPR 2024HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
42. CVPR 2024Improved Self-Training for Test-Time Adaptation
43. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
44. CVPR 2024InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
45. CVPR 2024LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
46. CVPR 2024Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
47. CVPR 2024Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
48. CVPR 2024Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
49. CVPR 2024Learning to Rank Patches for Unbiased Image Redundancy Reduction
50. CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

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。