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

103 papers, page 2 of 3

51. CVPR 2025LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
52. CVPR 2025LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
53. CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
54. CVPR 2025Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
55. CVPR 2025Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation
56. CVPR 2025Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
57. CVPR 2025Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
58. CVPR 2025MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
59. CVPR 2025Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
60. CVPR 2025MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning
61. CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
62. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
63. CVPR 2025Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
64. CVPR 2025Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing
65. CVPR 2025OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
66. CVPR 2025Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
67. CVPR 2025Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
68. CVPR 2025Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model
69. CVPR 2025Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
70. CVPR 2025PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
71. CVPR 2025Pose-Guided Temporal Enhancement for Robust Low-Resolution Hand Reconstruction
72. CVPR 2025Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
73. CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
74. CVPR 2025Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
75. CVPR 2025ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
76. CVPR 2025Query Efficient Black-Box Visual Prompting with Subspace Learning
77. CVPR 2025R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner
78. CVPR 2025Realistic Test-Time Adaptation of Vision-Language Models
79. CVPR 2025Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages
80. CVPR 2025Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks
81. CVPR 2025Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
82. CVPR 2025Sample- and Parameter-Efficient Auto-Regressive Image Models
83. CVPR 2025Scale Efficient Training for Large Datasets
84. CVPR 2025Sea-ing in Low-light
85. CVPR 2025Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
86. CVPR 2025Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation
87. CVPR 2025SGCR: Spherical Gaussians for Efficient 3D Curve Reconstruction
88. CVPR 2025Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
89. CVPR 2025SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning
90. CVPR 2025Split Adaptation for Pre-trained Vision Transformers
91. CVPR 2025SPMTrack: Spatio-Temporal Parameter-Efficient Fine-Tuning with Mixture of Experts for Scalable Visual Tracking
92. CVPR 2025Star with Bilinear Mapping
93. CVPR 2025SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation
94. CVPR 2025Task Singular Vectors: Reducing Task Interference in Model Merging
95. CVPR 2025Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
96. CVPR 2025TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
97. CVPR 2025Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
98. CVPR 2025Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
99. CVPR 2025Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks
100. CVPR 2025UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

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.