Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognitionby…
Enabling Efficient On-Device Fine-Tuning of LLMs Using Only Inference Enginesby Lei Gao, Amir Ziashahabi, Yue…
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigmby Jaehan Kim, Minkyoo Song, Seung Ho…
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Modelsby Divij Gupta, Anubhav Bhatti,…
LPT++: Efficient Training on Mixture of Long-tailed Expertsby Bowen Dong, Pan Zhou, Wangmeng ZuoFirst submitted…
COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcareby Chia-Hao Li, Niraj…
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?by Kerem Cekmeceli, Meva Himmetoglu,…
Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Regionby Muhammad…
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Valuesby Chengwei Sun, Jiwei Wei, Yujia…
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRAby Shuangyi Chen, Yue Ju,…