Quantum-PEFT: Ultra parameter-efficient fine-tuning

7 March 2025

Papers citing "Quantum-PEFT: Ultra parameter-efficient fine-tuning"

7 / 7 papers shown

Title
Quantum Implicit Neural Compression T. Fujihashi T. Koike-Akino 39 0 0 31 Dec 2024
LoTR: Low Tensor Rank Weight Adaptation Daniel Bershatsky Daria Cherniuk Talgat Daulbaev A. Mikhalev Ivan Oseledets 69 16 0 02 Feb 2024
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation Tianxiang Hao Hui Chen Yuchen Guo Guiguang Ding 49 16 0 30 Apr 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 58 19 0 22 Jan 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 152 641 0 26 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,996 0 20 Apr 2018