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

2,272 papers, page 31 of 46

1501. CVPR 2024Efficient Scene Recovery Using Luminous Flux Prior
1502. CVPR 2024Efficient Solution of Point-Line Absolute Pose
1503. CVPR 2024Efficient Stitchable Task Adaptation
1504. CVPR 2024Efficient Test-Time Adaptation of Vision-Language Models
1505. CVPR 2024Fast Adaptation for Human Pose Estimation via Meta-Optimization
1506. CVPR 2024Federated Online Adaptation for Deep Stereo
1507. CVPR 2024FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions
1508. CVPR 2024Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
1509. CVPR 2024Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
1510. CVPR 2024Generalized Event Cameras
1511. CVPR 2024GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
1512. CVPR 2024Gradient-based Parameter Selection for Efficient Fine-Tuning
1513. CVPR 2024HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models
1514. CVPR 2024Improved Self-Training for Test-Time Adaptation
1515. CVPR 2024Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
1516. CVPR 2024InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
1517. CVPR 2024LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
1518. CVPR 2024Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
1519. CVPR 2024Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
1520. CVPR 2024Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
1521. CVPR 2024Learning to Rank Patches for Unbiased Image Redundancy Reduction
1522. CVPR 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
1523. CVPR 2024LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
1524. CVPR 2024Low-Latency Neural Stereo Streaming
1525. CVPR 2024Low-power Continuous Remote Behavioral Localization with Event Cameras
1526. CVPR 2024Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
1527. CVPR 2024Low-Rank Knowledge Decomposition for Medical Foundation Models
1528. CVPR 2024Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
1529. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
1530. CVPR 2024LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction
1531. CVPR 2024MedBN: Robust Test-Time Adaptation against Malicious Test Samples
1532. CVPR 2024MoML: Online Meta Adaptation for 3D Human Motion Prediction
1533. CVPR 2024MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning
1534. CVPR 2024Multi-Task Dense Prediction via Mixture of Low-Rank Experts
1535. CVPR 2024Multimodal Representation Learning by Alternating Unimodal Adaptation
1536. CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking
1537. CVPR 2024Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
1538. CVPR 2024One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls
1539. CVPR 2024OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
1540. CVPR 2024Orthogonal Adaptation for Modular Customization of Diffusion Models
1541. CVPR 2024Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
1542. CVPR 2024Parameter Efficient Self-Supervised Geospatial Domain Adaptation
1543. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
1544. CVPR 2024PELA: Learning Parameter-Efficient Models with Low-Rank Approximation
1545. CVPR 2024PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
1546. CVPR 2024PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
1547. CVPR 2024PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
1548. CVPR 2024Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
1549. CVPR 2024Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
1550. CVPR 2024Rapid Motor Adaptation for Robotic Manipulator Arms

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.