Cover Image

Low-Rank Adaptation Redux for Large Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Bingcong, Zhang, Yilang, Giannakis, Georgios B.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
by: Zhang, Yilang, et al.
Published: (2025)

Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent
by: Zhang, Yilang, et al.
Published: (2023)

Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
by: Zhang, Yilang, et al.
Published: (2025)

VASSO: Variance Suppression for Sharpness-Aware Minimization
by: Li, Bingcong, et al.
Published: (2025)

Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
by: Zhang, Yilang, et al.
Published: (2025)

Conformalized Gaussian processes for online uncertainty quantification over graphs
by: Xu, Jinwen, et al.
Published: (2025)

PoLAR: Polar-Decomposed Low-Rank Adapter Representation
by: Lion, Kai, et al.
Published: (2025)

ScaLoRA: Optimally Scaled Low-Rank Adaptation for Efficient High-Rank Fine-Tuning
by: Zhang, Yilang, et al.
Published: (2025)

ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling
by: Zhang, Yilang, et al.
Published: (2026)

Binomial Gradient-Based Meta-Learning for Enhanced Meta-Gradient Estimation
by: Zhang, Yilang, et al.
Published: (2026)

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models
by: Balzano, Laura, et al.
Published: (2025)

Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks
by: Kang, Tianqu, et al.
Published: (2024)

Topology Identification and Inference over Graphs
by: Mateos, Gonzalo, et al.
Published: (2025)

Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
by: Haupt, Jarvis, et al.
Published: (2025)

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
by: Orfanidis, Georgios I.
Published: (2026)

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
by: Wei, Yudong, et al.
Published: (2025)

On the Crucial Role of Initialization for Matrix Factorization
by: Li, Bingcong, et al.
Published: (2024)

EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
by: Lotey, Taveena, et al.
Published: (2024)

Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
by: Yaras, Can, et al.
Published: (2024)

Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
by: Gupta, Divij, et al.
Published: (2024)

A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
by: Liang, Xiao, et al.
Published: (2026)

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
by: Ibrahim, Shahana, et al.
Published: (2024)

Noisy Low Rank Column-wise Sensing
by: Singh, Ankit Pratap, et al.
Published: (2024)

Efficient Federated Low Rank Matrix Completion
by: Abbasi, Ahmed Ali, et al.
Published: (2024)

Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
by: Chege, Joseph K., et al.
Published: (2024)

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
by: Gao, Yihang, et al.
Published: (2025)

Low Rank Tensor Completion via Adaptive ADMM
by: Führling, Niclas, et al.
Published: (2026)

Low-Rank Matrix Factorizations with Volume-based Constraints and Regularizations
by: Thanh, Olivier Vu
Published: (2024)

SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction
by: Shahriar, K. A.
Published: (2026)

Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
by: Rangamani, Akshay
Published: (2025)

LOREN: Low Rank-Based Code-Rate Adaptation in Neural Receivers
by: Van Bolderik, Bram, et al.
Published: (2026)

Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep Unrolling
by: Schynol, Lukas, et al.
Published: (2024)

ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
by: Gao, Yihang, et al.
Published: (2026)

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
by: Liang, Zequan, et al.
Published: (2025)

The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
by: Xu, Xingyu, et al.
Published: (2023)

Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks
by: Zhang, Kai, et al.
Published: (2025)

Multi-Platform Methane Plume Detection via Model and Domain Adaptation
by: Mancoridis, Vassiliki, et al.
Published: (2025)

Spatial Adaptation Layer: Interpretable Domain Adaptation For Biosignal Sensor Array Applications
by: Pereira, Joao, et al.
Published: (2024)

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization
by: Guo, Mingzhao, et al.
Published: (2024)

Distributed Learning of Quantum State Tomography Robust to Readout Errors
by: Taherpour, Amirhossein, et al.
Published: (2026)