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

282 papers, page 3 of 6

101. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
102. ICLR 2023In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
103. ICLR 2023Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
104. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
105. ICLR 2023Latent State Marginalization as a Low-cost Approach for Improving Exploration
106. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
107. ICLR 2023Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
108. ICLR 2023Learning the Positions in CountSketch
109. ICLR 2023Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
110. ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
111. ICLR 2023MECTA: Memory-Economic Continual Test-Time Model Adaptation
112. ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
113. ICLR 2023Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
114. ICLR 2023Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
115. ICLR 2023Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
116. ICLR 2023Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
117. ICLR 2023Online Low Rank Matrix Completion
118. ICLR 2023Parameter-Efficient Fine-Tuning Design Spaces
119. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
120. ICLR 2023Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
121. ICLR 2023Provably Auditing Ordinary Least Squares in Low Dimensions
122. ICLR 2023Quantifying Memorization Across Neural Language Models
123. ICLR 2023Representation Learning for Low-rank General-sum Markov Games
124. ICLR 2023Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
125. ICLR 2023Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
126. ICLR 2023Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
127. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
128. ICLR 2023Self-Distillation for Further Pre-training of Transformers
129. ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
130. ICLR 2023Spatio-temporal point processes with deep non-stationary kernels
131. ICLR 2023Spikformer: When Spiking Neural Network Meets Transformer
132. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
133. ICLR 2023Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
134. ICLR 2023Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
135. ICLR 2023Towards Stable Test-time Adaptation in Dynamic Wild World
136. ICLR 2023Treeformer: Dense Gradient Trees for Efficient Attention Computation
137. ICLR 2023Tuning Frequency Bias in Neural Network Training with Nonuniform Data
138. ICLR 2023UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
139. ICLR 2023When Source-Free Domain Adaptation Meets Learning with Noisy Labels
140. ICML 2023A Three-regime Model of Network Pruning
141. ICML 2023Adversarial Parameter Attack on Deep Neural Networks
142. ICML 2023Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise
143. ICML 2023Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions
144. ICML 2023Bootstrap in High Dimension with Low Computation
145. ICML 2023Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models
146. ICML 2023Curious Replay for Model-based Adaptation
147. ICML 2023Data Efficient Neural Scaling Law via Model Reusing
148. ICML 2023Diffusion Models are Minimax Optimal Distribution Estimators
149. ICML 2023Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
150. ICML 2023DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

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.