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

507 papers, page 10 of 11

451. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
452. ICLR 2023DynaMS: Dyanmic Margin Selection for Efficient Deep Learning
453. ICLR 2023Effective Self-supervised Pre-training on Low-compute Networks without Distillation
454. ICLR 2023Efficient Conditionally Invariant Representation Learning
455. ICLR 2023Efficient Deep Reinforcement Learning Requires Regulating Overfitting
456. ICLR 2023Efficient Edge Inference by Selective Query
457. ICLR 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
458. ICLR 2023Energy-Based Test Sample Adaptation for Domain Generalization
459. ICLR 2023ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
460. ICLR 2023Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification
461. ICLR 2023Feature selection and low test error in shallow low-rotation ReLU networks
462. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
463. ICLR 2023FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
464. ICLR 2023HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
465. ICLR 2023Hyper-Decision Transformer for Efficient Online Policy Adaptation
466. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
467. ICLR 2023Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
468. ICLR 2023Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
469. ICLR 2023Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
470. ICLR 2023In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations
471. ICLR 2023Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
472. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
473. ICLR 2023Latent State Marginalization as a Low-cost Approach for Improving Exploration
474. ICLR 2023Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
475. ICLR 2023Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization
476. ICLR 2023Learning the Positions in CountSketch
477. ICLR 2023Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation
478. ICLR 2023M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
479. ICLR 2023MECTA: Memory-Economic Continual Test-Time Model Adaptation
480. ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
481. ICLR 2023Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
482. ICLR 2023Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
483. ICLR 2023Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
484. ICLR 2023Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
485. ICLR 2023Online Low Rank Matrix Completion
486. ICLR 2023Parameter-Efficient Fine-Tuning Design Spaces
487. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
488. ICLR 2023Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
489. ICLR 2023Provably Auditing Ordinary Least Squares in Low Dimensions
490. ICLR 2023Quantifying Memorization Across Neural Language Models
491. ICLR 2023Representation Learning for Low-rank General-sum Markov Games
492. ICLR 2023Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
493. ICLR 2023Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier
494. ICLR 2023Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
495. ICLR 2023SCoMoE: Efficient Mixtures of Experts with Structured Communication
496. ICLR 2023Self-Distillation for Further Pre-training of Transformers
497. ICLR 2023Sparse Random Networks for Communication-Efficient Federated Learning
498. ICLR 2023Spatio-temporal point processes with deep non-stationary kernels
499. ICLR 2023Spikformer: When Spiking Neural Network Meets Transformer
500. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

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.