Work

Hyper-Refinement for Low-Rank Adaptation

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10888301

Authors: Savas Ozkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay

Institutions: Samsung (United Kingdom), Samsung Electronics (South Korea)

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408354848

FWCI: 0.988

Cites: 14

Cited by: 1

Related to: 10