DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models

30 October 2021

Papers citing "DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models"

6 / 6 papers shown

Title
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation Yixiao Li Yifan Yu Qingru Zhang Chen Liang Pengcheng He Weizhu Chen Tuo Zhao 44 69 0 20 Jun 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 21 33 0 07 Feb 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 814 0 14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 156 345 0 23 Jul 2020
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