MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Agiza, Ahmed, Neseem, Marina, Reda, Sherief |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions
by: Shaffee, Tasneem, et al.
Published: (2026)
by: Shaffee, Tasneem, et al.
Published: (2026)
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
by: Agiza, Ahmed, et al.
Published: (2024)
by: Agiza, Ahmed, et al.
Published: (2024)
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024)
by: Liang, Yan-Shuo, et al.
Published: (2024)
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Chang, Huandong, et al.
Published: (2025)
by: Chang, Huandong, et al.
Published: (2025)
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
by: Yang, Haodong, et al.
Published: (2025)
by: Yang, Haodong, et al.
Published: (2025)
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2024)
by: Liang, Yao, et al.
Published: (2024)
FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
by: Yu, Xiaobing, et al.
Published: (2025)
by: Yu, Xiaobing, et al.
Published: (2025)
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules
by: Chen, Xiangyu, et al.
Published: (2024)
by: Chen, Xiangyu, et al.
Published: (2024)
A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition
by: Zhao, Xinkui, et al.
Published: (2025)
by: Zhao, Xinkui, et al.
Published: (2025)
CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation
by: Muralidhara, Shishir, et al.
Published: (2025)
by: Muralidhara, Shishir, et al.
Published: (2025)
Adaptive Shared Experts with LoRA-Based Mixture of Experts for Multi-Task Learning
by: Yang, Minghao, et al.
Published: (2025)
by: Yang, Minghao, et al.
Published: (2025)
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
by: Neseem, Marina, et al.
Published: (2024)
by: Neseem, Marina, et al.
Published: (2024)
DAC-LoRA: Dynamic Adversarial Curriculum for Efficient and Robust Few-Shot Adaptation
by: Umrajkar, Ved
Published: (2025)
by: Umrajkar, Ved
Published: (2025)
Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation
by: Wei, Xiwen, et al.
Published: (2024)
by: Wei, Xiwen, et al.
Published: (2024)
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)
MSLoRA: Multi-Scale Low-Rank Adaptation via Attention Reweighting
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
DyME: Dynamic Multi-Concept Erasure in Diffusion Models with Bi-Level Orthogonal LoRA Adaptation
by: Liu, Jiaqi, et al.
Published: (2025)
by: Liu, Jiaqi, et al.
Published: (2025)
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
by: Benaglia, Riccardo, et al.
Published: (2024)
by: Benaglia, Riccardo, et al.
Published: (2024)
Stylized Text-to-Motion Generation via Hypernetwork-Driven Low-Rank Adaptation
by: Jeon, Junhyuk, et al.
Published: (2026)
by: Jeon, Junhyuk, et al.
Published: (2026)
Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
by: Shenaj, Donald, et al.
Published: (2026)
by: Shenaj, Donald, et al.
Published: (2026)
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
by: Çelebi, Yusuf, et al.
Published: (2026)
by: Çelebi, Yusuf, et al.
Published: (2026)
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
by: Chen, Lan, et al.
Published: (2024)
by: Chen, Lan, et al.
Published: (2024)
TopoLoRA-SAM: Topology-Aware Parameter-Efficient Adaptation of Foundation Segmenters for Thin-Structure and Cross-Domain Binary Semantic Segmentation
by: Khazem, Salim
Published: (2026)
by: Khazem, Salim
Published: (2026)
Label-Free Cross-Task LoRA Merging with Null-Space Compression
by: Lee, Wonyoung, et al.
Published: (2026)
by: Lee, Wonyoung, et al.
Published: (2026)
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks
by: Doan, Bao Gia, et al.
Published: (2024)
by: Doan, Bao Gia, et al.
Published: (2024)
Joint-Task Regularization for Partially Labeled Multi-Task Learning
by: Nishi, Kento, et al.
Published: (2024)
by: Nishi, Kento, et al.
Published: (2024)
DiffLoRA: Generating Personalized Low-Rank Adaptation Weights with Diffusion
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
FoRA: Low-Rank Adaptation Model beyond Multimodal Siamese Network
by: Xie, Weiying, et al.
Published: (2024)
by: Xie, Weiying, et al.
Published: (2024)
Examining Common Paradigms in Multi-Task Learning
by: Elich, Cathrin, et al.
Published: (2023)
by: Elich, Cathrin, et al.
Published: (2023)
HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model
by: Xi, Yuanhao, et al.
Published: (2025)
by: Xi, Yuanhao, et al.
Published: (2025)
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
by: Ming, Yifei, et al.
Published: (2024)
by: Ming, Yifei, et al.
Published: (2024)
A Large-scale Medical Visual Task Adaptation Benchmark
by: Mo, Shentong, et al.
Published: (2024)
by: Mo, Shentong, et al.
Published: (2024)
PC-LoRA: Low-Rank Adaptation for Progressive Model Compression with Knowledge Distillation
by: Hwang, Injoon, et al.
Published: (2024)
by: Hwang, Injoon, et al.
Published: (2024)
On-Demand Multi-Task Sparsity for Efficient Large-Model Deployment on Edge Devices
by: Huang, Lianming, et al.
Published: (2025)
by: Huang, Lianming, et al.
Published: (2025)
Shared LoRA Subspaces for almost Strict Continual Learning
by: Kaushik, Prakhar, et al.
Published: (2026)
by: Kaushik, Prakhar, et al.
Published: (2026)
Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection
by: Zhou, Meilun, et al.
Published: (2025)
by: Zhou, Meilun, et al.
Published: (2025)
Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data
by: Oh, Youngmin, et al.
Published: (2026)
by: Oh, Youngmin, et al.
Published: (2026)
Analytical Uncertainty-Based Loss Weighting in Multi-Task Learning
by: Kirchdorfer, Lukas, et al.
Published: (2024)
by: Kirchdorfer, Lukas, et al.
Published: (2024)
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
by: Xie, Jingjing, et al.
Published: (2024)
by: Xie, Jingjing, et al.
Published: (2024)
Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence
by: Yang, Yibo, et al.
Published: (2025)
by: Yang, Yibo, et al.
Published: (2025)
Similar Items
-
RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions
by: Shaffee, Tasneem, et al.
Published: (2026) -
PoliTune: Analyzing the Impact of Data Selection and Fine-Tuning on Economic and Political Biases in Large Language Models
by: Agiza, Ahmed, et al.
Published: (2024) -
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
by: Liang, Yan-Shuo, et al.
Published: (2024) -
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
by: Chang, Huandong, et al.
Published: (2025) -
SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
by: Yang, Haodong, et al.
Published: (2025)