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 6 of 9

251. CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
252. CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
253. CVPR 2024A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
254. CVPR 2024Active Domain Adaptation with False Negative Prediction for Object Detection
255. CVPR 2024Adapters Strike Back
256. CVPR 2024Adaptive Softassign via Hadamard-Equipped Sinkhorn
257. CVPR 2024ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
258. CVPR 2024Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
259. CVPR 2024Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
260. CVPR 2024Binarized Low-light Raw Video Enhancement
261. CVPR 2024Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
262. CVPR 2024Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
263. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
264. CVPR 2024Data-Free Quantization via Pseudo-label Filtering
265. CVPR 2024DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
266. CVPR 2024DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
267. CVPR 2024Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
268. CVPR 2024DePT: Decoupled Prompt Tuning
269. CVPR 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
270. CVPR 2024Differentiable Micro-Mesh Construction
271. CVPR 2024Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
272. CVPR 2024Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
273. CVPR 2024Driving Everywhere with Large Language Model Policy Adaptation
274. CVPR 2024Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
275. CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
276. CVPR 2024EasyDrag: Efficient Point-based Manipulation on Diffusion Models
277. CVPR 2024Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
278. CVPR 2024Efficient Model Stealing Defense with Noise Transition Matrix
279. CVPR 2024Efficient Scene Recovery Using Luminous Flux Prior
280. CVPR 2024Efficient Solution of Point-Line Absolute Pose
281. CVPR 2024Efficient Stitchable Task Adaptation
282. CVPR 2024Efficient Test-Time Adaptation of Vision-Language Models
283. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
284. CVPR 2024Federated Online Adaptation for Deep Stereo
285. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
286. CVPR 2024Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
287. CVPR 2024Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
288. CVPR 2024Generalized Event Cameras
289. CVPR 2024GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
290. CVPR 2024Gradient-based Parameter Selection for Efficient Fine-Tuning
291. CVPR 2024HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
292. CVPR 2024Improved Self-Training for Test-Time Adaptation
293. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
294. CVPR 2024InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
295. CVPR 2024LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
296. CVPR 2024Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
297. CVPR 2024Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
298. CVPR 2024Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
299. CVPR 2024Learning to Rank Patches for Unbiased Image Redundancy Reduction
300. CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels

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.