NOLA: Compressing LoRA using Linear Combination of Random Basis

NOLA: Compressing LoRA using Linear Combination of Random Basis

4 October 2023

Soroush Abbasi Koohpayegani

Parsa Nooralinejad

Hamed Pirsiavash

Papers citing "NOLA: Compressing LoRA using Linear Combination of Random Basis"

10 / 10 papers shown

Title
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace Jia-Chen Zhang Yu-Jie Xiong Chun-Ming Xia Dong-Hai Zhu Xi-He Qiu 61 1 0 03 Mar 2025
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
$$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning$ $\textit{Trans-LoRA}$ : towards data-free Transferable Parameter Efficient Finetuning Runqian Wang Soumya Ghosh David D. Cox Diego Antognini Aude Oliva Rogerio Feris Leonid Karlinsky 30 1 0 27 May 2024
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 141 631 0 26 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 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
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 81 35 0 16 Feb 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 248 340 0 01 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 223 4,424 0 23 Jan 2020