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2109.06243
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KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation
13 September 2021
Marzieh S. Tahaei
Ella Charlaix
V. Nia
A. Ghodsi
Mehdi Rezagholizadeh
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Papers citing
"KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation"
10 / 10 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
28
6
0
29 Jan 2024
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo
P. Greengard
Eric P. Xing
Yoon Kim
MQ
36
43
0
20 Nov 2023
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
66
0
20 Jun 2023
CAMeMBERT: Cascading Assistant-Mediated Multilingual BERT
Dan DeGenaro
Jugal Kalita
27
0
0
22 Dec 2022
Parameter-efficient Model Adaptation for Vision Transformers
Xuehai He
Chunyuan Li
Pengchuan Zhang
Jianwei Yang
Qing Guo
30
84
0
29 Mar 2022
Kronecker Decomposition for GPT Compression
Ali Edalati
Marzieh S. Tahaei
Ahmad Rashid
V. Nia
J. Clark
Mehdi Rezagholizadeh
36
33
0
15 Oct 2021
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation
Md. Akmal Haidar
Nithin Anchuri
Mehdi Rezagholizadeh
Abbas Ghaddar
Philippe Langlais
Pascal Poupart
31
22
0
21 Sep 2021
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
221
197
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
245
1,821
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
297
6,959
0
20 Apr 2018
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