Low-Rank Adaptation papers, 2023–2026

Key findings

• Low-Rank Adaptation went from 282 papers in 2023 to 841 in 2026, roughly 3.0x in three years.
• NeurIPS publishes the most Low-Rank Adaptation work: 781 papers from 2023 to 2026, 34% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 61 in 2026.
• Among the 5 topics under Optimization and Scaling, it ranks #1 by 2026 paper count; the fastest grower in the group, Scaling Laws, is up 4.1x versus 3.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Low-Rank Adaptation papers

282 papers, page 1 of 6

1. CVPR 20231% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
2. CVPR 2023A Probabilistic Framework for Lifelong Test-Time Adaptation
3. CVPR 2023A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
4. CVPR 2023Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
5. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
6. CVPR 2023Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
7. CVPR 2023C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
8. CVPR 2023Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
9. CVPR 2023Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
10. CVPR 2023COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
11. CVPR 2023DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
12. CVPR 2023Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification
13. CVPR 2023Divide and Adapt: Active Domain Adaptation via Customized Learning
14. CVPR 2023Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
15. CVPR 2023E2PN: Efficient SE(3)-Equivariant Point Network
16. CVPR 2023EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
17. CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
18. CVPR 2023Efficient Second-Order Plane Adjustment
19. CVPR 2023Explicit Visual Prompting for Low-Level Structure Segmentations
20. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
21. CVPR 2023GeoNet: Benchmarking Unsupervised Adaptation Across Geographies
22. CVPR 2023Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation
23. CVPR 2023Hierarchical Neural Memory Network for Low Latency Event Processing
24. CVPR 2023Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
25. CVPR 2023Human Pose Estimation in Extremely Low-Light Conditions
26. CVPR 2023Image Cropping With Spatial-Aware Feature and Rank Consistency
27. CVPR 2023Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
28. CVPR 2023Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances
29. CVPR 2023Leveraging Temporal Context in Low Representational Power Regimes
30. CVPR 2023Low-Light Image Enhancement via Structure Modeling and Guidance
31. CVPR 2023MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
32. CVPR 2023MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
33. CVPR 2023MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
34. CVPR 2023MOT: Masked Optimal Transport for Partial Domain Adaptation
35. CVPR 2023Parameter Efficient Local Implicit Image Function Network for Face Segmentation
36. CVPR 2023Partial Network Cloning
37. CVPR 2023PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
38. CVPR 2023PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
39. CVPR 2023Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography
40. CVPR 2023Plateau-Reduced Differentiable Path Tracing
41. CVPR 2023Policy Adaptation From Foundation Model Feedback
42. CVPR 2023Pose Synchronization Under Multiple Pair-Wise Relative Poses
43. CVPR 2023Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
44. CVPR 2023Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration
45. CVPR 2023Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
46. CVPR 2023RelightableHands: Efficient Neural Relighting of Articulated Hand Models
47. CVPR 2023Representing Volumetric Videos As Dynamic MLP Maps
48. CVPR 2023Resource-Efficient RGBD Aerial Tracking
49. CVPR 2023Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
50. CVPR 2023Robust Test-Time Adaptation in Dynamic Scenarios

FAQ

How many Low-Rank Adaptation papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

2,273 in total: 282 in 2023, 518 in 2024, 632 in 2025, 841 in 2026.

How many Low-Rank Adaptation papers are at NeurIPS 2026?

NeurIPS 2026 has 269 Low-Rank Adaptation papers, versus 241 the year before.

How many Low-Rank Adaptation papers are at ICLR 2026?

ICLR 2026 has 184 Low-Rank Adaptation papers, versus 152 the year before.

How many Low-Rank Adaptation papers are at ICML 2026?

ICML 2026 has 240 Low-Rank Adaptation papers, versus 136 the year before.

How many Low-Rank Adaptation papers are at CVPR 2026?

CVPR 2026 has 148 Low-Rank Adaptation papers, versus 103 the year before.

Which conference publishes the most Low-Rank Adaptation papers?

NeurIPS, with 781 papers from 2023 to 2026.