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 840 篇，第 1 / 17 页

1. CVPR 20262-Shots in the Dark Low-Light Denoising with Minimal Data Acquisition
2. CVPR 2026AdaBet Gradient-free Layer Selection for Efficient Training of Deep Neural
3. CVPR 2026Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning
4. CVPR 2026All Vehicles Can Lie Efficient Adversarial Defense in Fully Untrusted-Vehicle
5. CVPR 2026Anatomical Domain Shifts Test-time Heterogeneous Adaptation for 3D Human Pose
6. CVPR 2026Attribution-Guided Model Rectification of Unreliable Neural Network Behaviors
7. CVPR 2026Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
8. CVPR 2026BiProLoRA Bilevel Prompt LoRA for Real Scene Recovery
9. CVPR 2026CASPA Graph-Structured Concept Anchors for Modality-Agnostic Adaptation in Vision-Language Models
10. CVPR 2026CaT-GS Efficient 3DGS Rendering for Large-Scale Scenes with Inter-frame Caching
11. CVPR 2026CD-Buffer Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather
12. CVPR 2026CHIPS Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
13. CVPR 2026CoLC Communication-Efficient Collaborative Perception with LiDAR Completion
14. CVPR 2026Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict
15. CVPR 2026CRAFT-LoRA Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion
16. CVPR 2026CREward A Type-Specific Creativity Reward Model
17. CVPR 2026Cross-Architecture Adaptation Cloud-Edge Continual Test-Time Adaptation with Dynamic Sampling and
18. CVPR 2026CrossEarth-Gate Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain
19. CVPR 2026Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation
20. CVPR 2026DAGE Dual-Stream Architecture for Efficient and Fine-Grained Geometry Estimation
21. CVPR 2026DarkAct A RGB-Thermal Dataset and Fusion Framework for Multimodal Low-Light
22. CVPR 2026DarkShake-DVS Event-based Human Action Recognition under Low-light and Shaking Camera
23. CVPR 2026DeAR Fine-Grained VLM Adaptation by Decomposing Attention Head Roles
24. CVPR 2026Decompose Mix Adapt A Unified Framework for Parameter-Efficient Neural Network
25. CVPR 2026Decoupled and Reusable Adaptation for Efficient Cross-Modal Transfer
26. CVPR 2026Decoupled Residual Denoising Diffusion Models for Unified and Data Efficient
27. CVPR 2026Decoupling Stability and Plasticity for Multi-Modal Test-Time Adaptation
28. CVPR 2026Decoupling Vision and Language Codebook Anchored Visual Adaptation
29. CVPR 2026Degradation-Consistent Test-Time Adaptation for All-in-One Image Restoration
30. CVPR 2026DENALI A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs
31. CVPR 2026DGS Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class
32. CVPR 2026Diffusion Sampling Path Tells More An Efficient Plug-and-Play Strategy for
33. CVPR 2026Distilling Quasi-Conformal Mapping A Generalizable and Efficient Solution for Wide-Angle
34. CVPR 2026Dual-branch Distilled Transformer for Efficient Asymmetric UAV Tracking
35. CVPR 2026Dual-Estimator Decoupling Global and Local Semantic Shift for Drift Compensation
36. CVPR 2026Dual-level Adapter Boosting Prompt-free Curvilinear Structure Segmentation
37. CVPR 2026DUET-VLM Dual stage Unified Efficient Token reduction for VLM Training
38. CVPR 2026Dynamic Logits Adjustment and Exploration for Test-Time Adaptation in Vision
39. CVPR 2026EcoAlign An Economically Rational Framework for Efficient LVLM Alignment
40. CVPR 2026Efficient Real-Time Raw-to-Raw Denoising for Extreme Low-Light Ultra HD Video
41. CVPR 2026EfficientVPR Toward Efficient Visual Place Recognition via Scene-Aware Prompt Tuning
42. CVPR 2026ELiC Efficient LiDAR Geometry Compression via Cross-Bit-depth Feature Propagation and
43. CVPR 2026ELVIS Enhance Low-Light for Video Instance Segmentation in the Dark
44. CVPR 2026Energy Waveify and Redistribution for Test-Time Adaptation A Control System
45. CVPR 2026eRetinexGS Retinex Modeling for Low-Light Scene Enhancement via Event Streams
46. CVPR 2026EW-DETR Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer
47. CVPR 2026Exemplar-Free Class Incremental Learning via Preserving Class-Discriminative Structure
48. CVPR 2026FAAR Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection
49. CVPR 2026FairLLaVA Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
50. CVPR 2026Fed-ADE Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift

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。