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 34 of 46

1651. ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
1652. ICLR 2024Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
1653. ICLR 2024Sample-Efficient Quality-Diversity by Cooperative Coevolution
1654. ICLR 2024Set Learning for Accurate and Calibrated Models
1655. ICLR 2024SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
1656. ICLR 2024SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning
1657. ICLR 2024Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
1658. ICLR 2024TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
1659. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
1660. ICLR 2024The Expressive Power of Low-Rank Adaptation
1661. ICLR 2024The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
1662. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
1663. ICLR 2024Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
1664. ICLR 2024Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
1665. ICLR 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
1666. ICLR 2024True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning
1667. ICLR 2024Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
1668. ICLR 2024UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
1669. ICLR 2024VeRA: Vector-based Random Matrix Adaptation
1670. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
1671. ICLR 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
1672. ICLR 2024YaRN: Efficient Context Window Extension of Large Language Models
1673. ICLR 2024ZeRO++: Extremely Efficient Collective Communication for Large Model Training
1674. ICML 20243D Geometric Shape Assembly via Efficient Point Cloud Matching
1675. ICML 2024A Closer Look at the Limitations of Instruction Tuning
1676. ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
1677. ICML 2024Adaptively Learning to Select-Rank in Online Platforms
1678. ICML 2024Allocation Requires Prediction Only if Inequality Is Low
1679. ICML 2024AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
1680. ICML 2024Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
1681. ICML 2024APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
1682. ICML 2024AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
1683. ICML 2024Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
1684. ICML 2024Asymmetry in Low-Rank Adapters of Foundation Models
1685. ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
1686. ICML 2024Bayesian Adaptation of Network Depth and Width for Continual Learning
1687. ICML 2024BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation
1688. ICML 2024Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks
1689. ICML 2024Category-Aware Active Domain Adaptation
1690. ICML 2024CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series
1691. ICML 2024Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
1692. ICML 2024Collage: Light-Weight Low-Precision Strategy for LLM Training
1693. ICML 2024CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
1694. ICML 2024Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
1695. ICML 2024Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
1696. ICML 2024Cross-Domain Policy Adaptation by Capturing Representation Mismatch
1697. ICML 2024Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
1698. ICML 2024Debiased Distribution Compression
1699. ICML 2024Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
1700. ICML 2024Differentiable Weightless Neural Networks

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.