AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning

14 March 2024

Papers citing "AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning"

7 / 7 papers shown

Title
RandLoRA: Full-rank parameter-efficient fine-tuning of large models Paul Albert Frederic Z. Zhang Hemanth Saratchandran Cristian Rodriguez-Opazo Anton van den Hengel Ehsan Abbasnejad 94 0 0 03 Feb 2025
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail R. Alkhouri Rongrong Wang 29 0 0 06 May 2024
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 83 323 0 20 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters Aston Zhang Yi Tay Shuai Zhang Alvin Chan A. Luu S. Hui Jie Fu MQ 166 83 0 17 Feb 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 294 6,927 0 20 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017