Imagen de Portada

BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Coscia, Dario, Löwe, Sindy, Welling, Max
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BARNN: A Bayesian Autoregressive and Recurrent Neural Network
por: Coscia, Dario, et al.
Publicado: (2025)

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

Artificial Kuramoto Oscillatory Neurons
por: Miyato, Takeru, et al.
Publicado: (2024)

Binding Dynamics in Rotating Features
por: Löwe, Sindy, et al.
Publicado: (2024)

Flowing with Confidence
por: de Kruiff, Friso, et al.
Publicado: (2026)

iLoRA: Bayesian Low-Rank Adaptation with Latent Interaction Graphs for Microbiome Diagnosis
por: Song, Yang, et al.
Publicado: (2026)

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

Stable-LoRA: Stabilizing Feature Learning of Low-Rank Adaptation
por: Wu, Yize, et al.
Publicado: (2026)

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

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

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
por: Liu, Ziyun, et al.
Publicado: (2026)

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

TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
por: Islam, Tanvir
Publicado: (2025)

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

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

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

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

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

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

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

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
por: Zhang, Ruiyi, et al.
Publicado: (2024)

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

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

BLIPs: Bayesian Learned Interatomic Potentials
por: Coscia, Dario, et al.
Publicado: (2025)

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

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

CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
por: Xiao, Xiaojun, et al.
Publicado: (2024)

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

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

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
por: Wang, Maolin, et al.
Publicado: (2025)

Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
por: Lin, Moule, et al.
Publicado: (2026)

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

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
por: Li, Yanan, et al.
Publicado: (2025)

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models
por: Wei, Jia, et al.
Publicado: (2026)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
por: Liang, Jian, et al.
Publicado: (2025)

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

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
por: Liu, Zeyu, et al.
Publicado: (2024)

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
por: Wang, Yibin, et al.
Publicado: (2024)

ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
por: Chang, Huandong, et al.
Publicado: (2025)

GoRA: Gradient-driven Adaptive Low Rank Adaptation
por: He, Haonan, et al.
Publicado: (2025)