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

419 papers, page 4 of 9

151. CVPR 2025AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments
152. CVPR 2025Bayesian Test-Time Adaptation for Vision-Language Models
153. CVPR 2025BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
154. CVPR 2025Breaking the Low-Rank Dilemma of Linear Attention
155. CVPR 2025CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
156. CVPR 2025CoA: Towards Real Image Dehazing via Compression-and-Adaptation
157. CVPR 2025COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection
158. CVPR 2025COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation
159. CVPR 2025CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization
160. CVPR 2025DarkIR: Robust Low-Light Image Restoration
161. CVPR 2025DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
162. CVPR 2025DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
163. CVPR 2025Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
164. CVPR 2025DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
165. CVPR 2025DocVLM: Make Your VLM an Efficient Reader
166. CVPR 2025Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics
167. CVPR 2025Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration
168. CVPR 2025Dynamic Updates for Language Adaptation in Visual-Language Tracking
169. CVPR 2025Edge-SD-SR: Low Latency and Parameter Efficient On-device Super-Resolution with Stable Diffusion via Bidirectional Conditioning
170. CVPR 2025Efficient Diffusion as Low Light Enhancer
171. CVPR 2025Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention
172. CVPR 2025Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
173. CVPR 2025Efficient Personalization of Quantized Diffusion Model without Backpropagation
174. CVPR 2025Effortless Active Labeling for Long-Term Test-Time Adaptation
175. CVPR 2025ERUPT: Efficient Rendering with Unposed Patch Transformer
176. CVPR 2025EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
177. CVPR 2025Faster Parameter-Efficient Tuning with Token Redundancy Reduction
178. CVPR 2025GPAvatar: High-fidelity Head Avatars by Learning Efficient Gaussian Projections
179. CVPR 2025Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
180. CVPR 2025Hazy Low-Quality Satellite Video Restoration Via Learning Optimal Joint Degradation Patterns and Continuous-Scale Super-Resolution Reconstruction
181. CVPR 2025Hiding Images in Diffusion Models by Editing Learned Score Functions
182. CVPR 2025Hierarchical Flow Diffusion for Efficient Frame Interpolation
183. CVPR 2025HOT: Hadamard-based Optimized Training
184. CVPR 2025HVI: A New Color Space for Low-light Image Enhancement
185. CVPR 2025HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
186. CVPR 2025Image Referenced Sketch Colorization Based on Animation Creation Workflow
187. CVPR 2025Improving Personalized Search with Regularized Low-Rank Parameter Updates
188. CVPR 2025IRIS: Inverse Rendering of Indoor Scenes from Low Dynamic Range Images
189. CVPR 2025IterIS: Iterative Inference-Solving Alignment for LoRA Merging
190. CVPR 2025Keep the Balance: A Parameter-Efficient Symmetrical Framework for RGB+X Semantic Segmentation
191. CVPR 2025Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
192. CVPR 2025Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
193. CVPR 2025Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
194. CVPR 2025Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
195. CVPR 2025Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
196. CVPR 2025LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models
197. CVPR 2025LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
198. CVPR 2025LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
199. CVPR 2025LoRACLR: Contrastive Adaptation for Customization of Diffusion Models
200. CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models

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.