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 7 of 9

301. CVPR 2024LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
302. CVPR 2024Low-Latency Neural Stereo Streaming
303. CVPR 2024Low-power Continuous Remote Behavioral Localization with Event Cameras
304. CVPR 2024Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
305. CVPR 2024Low-Rank Knowledge Decomposition for Medical Foundation Models
306. CVPR 2024Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
307. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
308. CVPR 2024LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction
309. CVPR 2024MedBN: Robust Test-Time Adaptation against Malicious Test Samples
310. CVPR 2024MoML: Online Meta Adaptation for 3D Human Motion Prediction
311. CVPR 2024MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
312. CVPR 2024Multi-Task Dense Prediction via Mixture of Low-Rank Experts
313. CVPR 2024Multimodal Representation Learning by Alternating Unimodal Adaptation
314. CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking
315. CVPR 2024Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
316. CVPR 2024One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
317. CVPR 2024OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
318. CVPR 2024Orthogonal Adaptation for Modular Customization of Diffusion Models
319. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
320. CVPR 2024Parameter Efficient Self-Supervised Geospatial Domain Adaptation
321. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
322. CVPR 2024PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
323. CVPR 2024PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
324. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
325. CVPR 2024PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
326. CVPR 2024Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
327. CVPR 2024Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
328. CVPR 2024Rapid Motor Adaptation for Robotic Manipulator Arms
329. CVPR 2024Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
330. CVPR 2024Revisiting Adversarial Training at Scale
331. CVPR 2024Rewrite the Stars
332. CVPR 2024RobustSAM: Segment Anything Robustly on Degraded Images
333. CVPR 2024Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
334. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
335. CVPR 2024Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
336. CVPR 2024Sheared Backpropagation for Fine-tuning Foundation Models
337. CVPR 2024Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
338. CVPR 2024Specularity Factorization for Low-Light Enhancement
339. CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
340. CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
341. CVPR 2024TEA: Test-time Energy Adaptation
342. CVPR 2024The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
343. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
344. CVPR 2024Towards 3D Vision with Low-Cost Single-Photon Cameras
345. CVPR 2024TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
346. CVPR 2024Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
347. CVPR 2024Uncertainty Visualization via Low-Dimensional Posterior Projections
348. CVPR 2024Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective
349. CVPR 2024Unified Language-driven Zero-shot Domain Adaptation
350. CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory

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.