Image de couverture de livre

Improving LoRA with Variational Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cong, Bai, Daheim, Nico, Shen, Yuesong, Yokota, Rio, Khan, Mohammad Emtiyaz, Möllenhoff, Thomas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Variational Low-Rank Adaptation Using IVON
par: Cong, Bai, et autres
Publié: (2024)

Variational Learning is Effective for Large Deep Networks
par: Shen, Yuesong, et autres
Publié: (2024)

Model Merging by Uncertainty-Based Gradient Matching
par: Daheim, Nico, et autres
Publié: (2023)

SVRG and Beyond via Posterior Correction
par: Daheim, Nico, et autres
Publié: (2025)

Uncertainty-Aware Decoding with Minimum Bayes Risk
par: Daheim, Nico, et autres
Publié: (2025)

How to Weight Multitask Finetuning? Fast Previews via Bayesian Model-Merging
par: Maldonado, Hugo Monzón, et autres
Publié: (2024)

LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging
par: Lee, Seungeon, et autres
Publié: (2025)

LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
par: Yen, Jui-Nan, et autres
Publié: (2024)

Optimization Guarantees for Square-Root Natural-Gradient Variational Inference
par: Kumar, Navish, et autres
Publié: (2025)

A Note on LoRA
par: Fomenko, Vlad, et autres
Publié: (2024)

LoRA Learns Less and Forgets Less
par: Biderman, Dan, et autres
Publié: (2024)

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
par: Azimi, Rambod, et autres
Publié: (2024)

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
par: Yang, Yaming, et autres
Publié: (2024)

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
par: Bossy, Thierry, et autres
Publié: (2025)

The Impact of Initialization on LoRA Finetuning Dynamics
par: Hayou, Soufiane, et autres
Publié: (2024)

LoRA Is Slower Than You Think
par: Ko, Seokmin
Publié: (2025)

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
par: Zhao, Ziyu, et autres
Publié: (2024)

DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models
par: Zhang, Yuxuan, et autres
Publié: (2024)

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning
par: Kim, Myoungjun, et autres
Publié: (2026)

A Survey on LoRA of Large Language Models
par: Mao, Yuren, et autres
Publié: (2024)

Tina: Tiny Reasoning Models via LoRA
par: Wang, Shangshang, et autres
Publié: (2025)

Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
par: Chen, Nan, et autres
Publié: (2026)

LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
par: Wang, Zhengbo, et autres
Publié: (2024)

SEQR: Secure and Efficient QR-based LoRA Routing
par: Fleshman, William, et autres
Publié: (2025)

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
par: Li, Jiaang, et autres
Publié: (2024)

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training
par: Singh, Ayush, et autres
Publié: (2024)

LoRA+: Efficient Low Rank Adaptation of Large Models
par: Hayou, Soufiane, et autres
Publié: (2024)

Information Geometry of Variational Bayes
par: Khan, Mohammad Emtiyaz
Publié: (2025)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades
par: Li, Yanan, et autres
Publié: (2025)

Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning
par: Lee, Yu-Ang, et autres
Publié: (2026)

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning
par: Rüdiger, Sten, et autres
Publié: (2026)

LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
par: Fleshman, William, et autres
Publié: (2025)

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
par: Balabanov, Oleksandr, et autres
Publié: (2024)

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
par: Zhang, Haobo, et autres
Publié: (2025)

Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
par: Renduchintala, Adithya, et autres
Publié: (2023)

LoRA Provides Differential Privacy by Design via Random Sketching
par: Malekmohammadi, Saber, et autres
Publié: (2024)

Budgeted LoRA: Distillation as Structured Compute Allocation for Efficient Inference
par: Sabry, Mohammed, et autres
Publié: (2026)

Multi-LoRA Composition for Image Generation
par: Zhong, Ming, et autres
Publié: (2024)

LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
par: Bałazy, Klaudia, et autres
Publié: (2024)

Weight space Detection of Backdoors in LoRA Adapters
par: Merenciano, David Puertolas, et autres
Publié: (2026)