"low-rank adaptation" Papers
86 papers found • Page 1 of 2
Conference
Accurate and Efficient Low-Rank Model Merging in Core Space
Aniello Panariello, Daniel Marczak, Simone Magistri et al.
AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping
Haonan Dong, Wenhao Zhu, Guojie Song et al.
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
Zirun Guo, Xize Cheng, Yangyang Wu et al.
Cached Multi-Lora Composition for Multi-Concept Image Generation
Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis et al.
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He, Zhihao Duan, Fengqing Zhu
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
Byung Hyun Lee, Wongi Jeong, Woojae Han et al.
Continuous Subspace Optimization for Continual Learning
Quan Cheng, Yuanyu Wan, Lingyu Wu et al.
Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
Tuna Meral, Enis Simsar, Federico Tombari et al.
Correlated Low-Rank Adaptation for ConvNets
Wu Ran, Weijia Zhang, ShuYang Pang et al.
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini, Leander Girrbach, Zeynep Akata
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan et al.
Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation
Jiaqi Huang, Zunnan Xu, Ting Liu et al.
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Zhiyuan Liang, Dongwen Tang, Yuhao Zhou et al.
Ensembles of Low-Rank Expert Adapters
Yinghao Li, Vianne Gao, Chao Zhang et al.
Evidential Knowledge Distillation
Liangyu Xiang, Junyu Gao, Changsheng Xu
Federated Residual Low-Rank Adaption of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Yeonjoon Jung, Daehyun Ahn, Hyungjun Kim et al.
HMVLM:Human Motion-Vision-Language Model via MoE LoRA
Lei Hu, Yongjing Ye, Shihong Xia
Image Referenced Sketch Colorization Based on Animation Creation Workflow
Dingkun Yan, Xinrui Wang, Zhuoru Li et al.
Latent Space Factorization in LoRA
Shashi Kumar, Yacouba Kaloga, John Mitros et al.
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
Ziqi Lu, Heng Yang, Danfei Xu et al.
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen, Si Si, Zhao Meng et al.
LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting
Yi Xiao, Hang Fan, Kun Chen et al.
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement
Jieming Bian, Lei Wang, Letian Zhang et al.
LoRA Learns Less and Forgets Less
Jonathan Frankle, Jose Javier Gonzalez Ortiz, Cody Blakeney et al.
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang, Jian Liang, Ran He et al.
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu, Xiaobin Chang
LoRA vs Full Fine-tuning: An Illusion of Equivalence
Reece Shuttleworth, Jacob Andreas, Antonio Torralba et al.
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.
LuxDiT: Lighting Estimation with Video Diffusion Transformer
Ruofan Liang, Kai He, Zan Gojcic et al.
Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
Weibin Liao, Tianlong Wang, Yinghao Zhu et al.
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, tao shen, Didi Zhu et al.
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
Jingwei Xu, Junyu Lai, Yunpeng Huang
MokA: Multimodal Low-Rank Adaptation for MLLMs
Yake Wei, Yu Miao, Dongzhan Zhou et al.
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
Shen Yuan, Yin Zheng, Taifeng Wang et al.
Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
Yuxin Pan, Zhiguang Cao, Chengyang GU et al.
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding et al.
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo, Sol Namkung, SunWoo Lee et al.
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied et al.
PLAN: Proactive Low-Rank Allocation for Continual Learning
XIEQUN WANG, Zhan Zhuang, Yu Zhang
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
Song Wang, Xiaolu Liu, Lingdong Kong et al.
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
Kai Lion, Liang Zhang, Bingcong Li et al.
Provable Meta-Learning with Low-Rank Adaptations
Jacob Block, Sundararajan Srinivasan, Liam Collins et al.
RAD: Region-Aware Diffusion Models for Image Inpainting
Sora Kim, Sungho Suh, Minsik Lee
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He, Zhaopeng Tu, Xing Wang et al.
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
Arian Raje, Baris Askin, Divyansh Jhunjhunwala et al.
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
Geonho Lee, Janghwan Lee, Sukjin Hong et al.
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen, Yuanxin Guo, Yue Ju et al.
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
Yichen Wu, Hongming Piao, Long-Kai Huang et al.