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 41 of 46

2001. CVPR 2023DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
2002. CVPR 2023Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification
2003. CVPR 2023Divide and Adapt: Active Domain Adaptation via Customized Learning
2004. CVPR 2023Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
2005. CVPR 2023E2PN: Efficient SE(3)-Equivariant Point Network
2006. CVPR 2023EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
2007. CVPR 2023Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
2008. CVPR 2023Efficient Second-Order Plane Adjustment
2009. CVPR 2023Explicit Visual Prompting for Low-Level Structure Segmentations
2010. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
2011. CVPR 2023GeoNet: Benchmarking Unsupervised Adaptation Across Geographies
2012. CVPR 2023Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation
2013. CVPR 2023Hierarchical Neural Memory Network for Low Latency Event Processing
2014. CVPR 2023Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
2015. CVPR 2023Human Pose Estimation in Extremely Low-Light Conditions
2016. CVPR 2023Image Cropping With Spatial-Aware Feature and Rank Consistency
2017. CVPR 2023Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
2018. CVPR 2023Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances
2019. CVPR 2023Leveraging Temporal Context in Low Representational Power Regimes
2020. CVPR 2023Low-Light Image Enhancement via Structure Modeling and Guidance
2021. CVPR 2023MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
2022. CVPR 2023MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
2023. CVPR 2023MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
2024. CVPR 2023MOT: Masked Optimal Transport for Partial Domain Adaptation
2025. CVPR 2023Parameter Efficient Local Implicit Image Function Network for Face Segmentation
2026. CVPR 2023Partial Network Cloning
2027. CVPR 2023PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
2028. CVPR 2023PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
2029. CVPR 2023Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography
2030. CVPR 2023Plateau-Reduced Differentiable Path Tracing
2031. CVPR 2023Policy Adaptation From Foundation Model Feedback
2032. CVPR 2023Pose Synchronization Under Multiple Pair-Wise Relative Poses
2033. CVPR 2023Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
2034. CVPR 2023Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration
2035. CVPR 2023Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
2036. CVPR 2023RelightableHands: Efficient Neural Relighting of Articulated Hand Models
2037. CVPR 2023Representing Volumetric Videos As Dynamic MLP Maps
2038. CVPR 2023Resource-Efficient RGBD Aerial Tracking
2039. CVPR 2023Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
2040. CVPR 2023Robust Test-Time Adaptation in Dynamic Scenarios
2041. CVPR 2023Samples With Low Loss Curvature Improve Data Efficiency
2042. CVPR 2023Semi-Supervised Domain Adaptation With Source Label Adaptation
2043. CVPR 2023Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
2044. CVPR 2023Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
2045. CVPR 2023TensoIR: Tensorial Inverse Rendering
2046. CVPR 2023ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
2047. CVPR 2023Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
2048. CVPR 2023Train/Test-Time Adaptation With Retrieval
2049. CVPR 2023Trainable Projected Gradient Method for Robust Fine-Tuning
2050. CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow

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.