Cover Image

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Yize, Gao, Ke, Li, Ling, Wu, Yanjun
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

LoRA+: Efficient Low Rank Adaptation of Large Models
by: Hayou, Soufiane, et al.
Published: (2024)

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
by: Zhang, Qingyue, et al.
Published: (2025)

R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
by: Bałazy, Klaudia, et al.
Published: (2024)

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training
by: Zhang, Chengqian, et al.
Published: (2026)

Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation
by: Alisetti, Sai Vamsi
Published: (2026)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
by: Xu, Ziqing, et al.
Published: (2025)

ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
by: Ruan, Weilin, et al.
Published: (2024)

Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)

FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024)

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
by: Wang, Zhuxuanzi, et al.
Published: (2025)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
by: Wang, Zhengbo, et al.
Published: (2024)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)

Rethinking the Rank Threshold for LoRA Fine-Tuning
by: Park, Juneyoung
Published: (2026)

FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
by: Chung, Hyunsuk, et al.
Published: (2026)

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2024)

TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
by: Mu, Lin, et al.
Published: (2026)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
by: Zhao, Ziyu, et al.
Published: (2024)

Recover-LoRA: Data-Free Accuracy Recovery of Degraded Language Models via Low-Rank Adaptation
by: Das, Devleena, et al.
Published: (2025)

LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing
by: Li, Wenbing, et al.
Published: (2025)

Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA
by: Chen, Jinqian, et al.
Published: (2026)

Subliminal Learning is a LoRA Artifact
by: Nief, Todd, et al.
Published: (2026)

Kron-LoRA: Hybrid Kronecker-LoRA Adapters for Scalable, Sustainable Fine-tuning
by: Shen, Yixin
Published: (2025)

BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models
by: Coscia, Dario, et al.
Published: (2026)

Localized LoRA: A Structured Low-Rank Approximation for Efficient Fine-Tuning
by: Barazandeh, Babak, et al.
Published: (2025)

Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning
by: Zhao, Ziyu, et al.
Published: (2024)

SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)

S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)

SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
by: Zhou, Shuaipeng, et al.
Published: (2026)

ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
by: Lee, Seungeon, et al.
Published: (2025)

Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)

Improving LoRA with Variational Learning
by: Cong, Bai, et al.
Published: (2025)

GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning
by: Yang, Zhe-Rui, et al.
Published: (2024)

GeoRA: Geometry-Aware Low-Rank Adaptation for RLVR
by: Zhang, Jiaying, et al.
Published: (2026)

Conditional LoRA Parameter Generation
by: Jin, Xiaolong, et al.
Published: (2024)

GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Jung, Yeonjoon, et al.
Published: (2025)

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
by: Singh, Ayush, et al.
Published: (2024)