Summary of Surgical-dino: Adapter Learning Of Foundation Models For Depth Estimation in Endoscopic Surgery, by Beilei Cui et al.
Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgeryby Beilei Cui, Mobarakol…
Summary of Dota: Weight-decomposed Tensor Adaptation For Large Language Models, by Xiaolin Hu et al.
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Modelsby Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei…
Summary of Optimizing Large Language Models with An Enhanced Lora Fine-tuning Algorithm For Efficiency and Robustness in Nlp Tasks, by Jiacheng Hu et al.
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in…
Summary of Autorank: Mcda Based Rank Personalization For Lora-enabled Distributed Learning, by Shuaijun Chen et al.
AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learningby Shuaijun Chen, Omid Tavallaie, Niousha Nazemi,…
Summary of Finlora: Finetuning Quantized Financial Large Language Models Using Low-rank Adaptation, by Dannong Wang et al.
FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptationby Dannong Wang, Daniel Kim, Bo…
Summary of Gelora: Geometric Adaptive Ranks For Efficient Lora Fine-tuning, by Abdessalam Ed-dib et al.
GeLoRA: Geometric Adaptive Ranks For Efficient LoRA Fine-tuningby Abdessalam Ed-dib, Zhanibek Datbayev, Amine Mohamed AboussalahFirst…
Summary of Lora.rar: Learning to Merge Loras Via Hypernetworks For Subject-style Conditioned Image Generation, by Donald Shenaj et al.
LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generationby Donald Shenaj, Ondrej…
Summary of Lora Diffusion: Zero-shot Lora Synthesis For Diffusion Model Personalization, by Ethan Smith et al.
LoRA Diffusion: Zero-Shot LoRA Synthesis for Diffusion Model Personalizationby Ethan Smith, Rami Seid, Alberto Hojel,…
Summary of Unlocking Tuning-free Few-shot Adaptability in Visual Foundation Models by Recycling Pre-tuned Loras, By Zixuan Hu and Yongxian Wei and Li Shen and Chun Yuan and Dacheng Tao
Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsby Zixuan Hu, Yongxian…
Summary of Challenges in Adapting Multilingual Llms to Low-resource Languages Using Lora Peft Tuning, by Omkar Khade et al.
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuningby Omkar Khade, Shruti…