KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation

13 September 2021

Papers citing "KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation"

7 / 7 papers shown

Title
TQCompressor: improving tensor decomposition methods in neural networks via permutations V. Abronin A. Naumov D. Mazur D. Bystrov K. Tsarova Ar. Melnikov Ivan V. Oseledets S. Dolgov R. Brasher M. Perelshtein 18 6 0 29 Jan 2024
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 17 64 0 20 Jun 2023
Parameter-efficient Model Adaptation for Vision Transformers Xuehai He Chunyuan Li Pengchuan Zhang Jianwei Yang X. Wang 20 80 0 29 Mar 2022
Kronecker Decomposition for GPT Compression Ali Edalati Marzieh S. Tahaei Ahmad Rashid V. Nia J. Clark Mehdi Rezagholizadeh 26 33 0 15 Oct 2021
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing Canwen Xu Wangchunshu Zhou Tao Ge Furu Wei Ming Zhou 210 196 0 07 Feb 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019
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