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 32 of 46

1551. CVPR 2024Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts
1552. CVPR 2024Revisiting Adversarial Training at Scale
1553. CVPR 2024Rewrite the Stars
1554. CVPR 2024RobustSAM: Segment Anything Robustly on Degraded Images
1555. CVPR 2024Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
1556. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
1557. CVPR 2024Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
1558. CVPR 2024Sheared Backpropagation for Fine-tuning Foundation Models
1559. CVPR 2024Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
1560. CVPR 2024Specularity Factorization for Low-Light Enhancement
1561. CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
1562. CVPR 2024Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
1563. CVPR 2024TEA: Test-time Energy Adaptation
1564. CVPR 2024The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
1565. CVPR 2024Time- Memory- and Parameter-Efficient Visual Adaptation
1566. CVPR 2024Towards 3D Vision with Low-Cost Single-Photon Cameras
1567. CVPR 2024TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
1568. CVPR 2024Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
1569. CVPR 2024Uncertainty Visualization via Low-Dimensional Posterior Projections
1570. CVPR 2024Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective
1571. CVPR 2024Unified Language-driven Zero-shot Domain Adaptation
1572. CVPR 2024UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
1573. CVPR 2024Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
1574. CVPR 2024Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
1575. CVPR 2024Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
1576. CVPR 2024WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
1577. CVPR 2024ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
1578. CVPR 2024Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
1579. ICLR 2024A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
1580. ICLR 2024A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
1581. ICLR 2024Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
1582. ICLR 2024Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
1583. ICLR 2024ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
1584. ICLR 2024AlpaGasus: Training a Better Alpaca with Fewer Data
1585. ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
1586. ICLR 2024AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
1587. ICLR 2024AutoLoRa: An Automated Robust Fine-Tuning Framework
1588. ICLR 2024AutoVP: An Automated Visual Prompting Framework and Benchmark
1589. ICLR 2024BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
1590. ICLR 2024Batched Low-Rank Adaptation of Foundation Models
1591. ICLR 2024Bayesian Low-rank Adaptation for Large Language Models
1592. ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
1593. ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
1594. ICLR 2024Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
1595. ICLR 2024Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
1596. ICLR 2024CLAP: Collaborative Adaptation for Patchwork Learning
1597. ICLR 2024Class Probability Matching with Calibrated Networks for Label Shift Adaption
1598. ICLR 2024Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
1599. ICLR 2024Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
1600. ICLR 2024Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning

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.