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 30 of 46

1451. NeurIPS 2025Test-Time Adaptation by Causal Trimming
1452. NeurIPS 2025The Best Instruction-Tuning Data are Those That Fit
1453. NeurIPS 2025The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
1454. NeurIPS 2025The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks
1455. NeurIPS 2025The Persistence of Neural Collapse Despite Low-Rank Bias
1456. NeurIPS 2025The Primacy of Magnitude in Low-Rank Adaptation
1457. NeurIPS 2025Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding
1458. NeurIPS 2025Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning
1459. NeurIPS 2025Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
1460. NeurIPS 2025Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
1461. NeurIPS 2025TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup
1462. NeurIPS 2025TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
1463. NeurIPS 2025Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
1464. NeurIPS 2025UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
1465. NeurIPS 2025Understanding Prompt Tuning and In-Context Learning via Meta-Learning
1466. NeurIPS 2025Uni-LoRA: One Vector is All You Need
1467. NeurIPS 2025VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
1468. NeurIPS 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
1469. NeurIPS 2025VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
1470. NeurIPS 2025World Models as Reference Trajectories for Rapid Motor Adaptation
1471. NeurIPS 2025You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM
1472. NeurIPS 2025Zebra-Llama: Towards Extremely Efficient Hybrid Models
1473. CVPR 2024A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
1474. CVPR 2024A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
1475. CVPR 2024A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
1476. CVPR 2024Active Domain Adaptation with False Negative Prediction for Object Detection
1477. CVPR 2024Adapters Strike Back
1478. CVPR 2024Adaptive Softassign via Hadamard-Equipped Sinkhorn
1479. CVPR 2024ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
1480. CVPR 2024Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
1481. CVPR 2024Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
1482. CVPR 2024Binarized Low-light Raw Video Enhancement
1483. CVPR 2024Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement
1484. CVPR 2024Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
1485. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
1486. CVPR 2024Data-Free Quantization via Pseudo-label Filtering
1487. CVPR 2024DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
1488. CVPR 2024DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
1489. CVPR 2024Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack
1490. CVPR 2024DePT: Decoupled Prompt Tuning
1491. CVPR 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks
1492. CVPR 2024Differentiable Micro-Mesh Construction
1493. CVPR 2024Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
1494. CVPR 2024Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
1495. CVPR 2024Driving Everywhere with Large Language Model Policy Adaptation
1496. CVPR 2024Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
1497. CVPR 2024Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
1498. CVPR 2024EasyDrag: Efficient Point-based Manipulation on Diffusion Models
1499. CVPR 2024Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes
1500. CVPR 2024Efficient Model Stealing Defense with Noise Transition Matrix

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.