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Revisiting Offline Compression: Going Beyond Factorization-based Methods
  for Transformer Language Models

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

8 February 2023
Mohammadreza Banaei
Klaudia Bałazy
Artur Kasymov
R. Lebret
Jacek Tabor
Karl Aberer
    OffRL
ArXivPDFHTML

Papers citing "Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models"

35 / 35 papers shown
Title
Language model compression with weighted low-rank factorization
Language model compression with weighted low-rank factorization
Yen-Chang Hsu
Ting Hua
Sung-En Chang
Qiang Lou
Yilin Shen
Hongxia Jin
41
102
0
30 Jun 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
175
2,428
0
15 Jun 2022
Exploring Extreme Parameter Compression for Pre-trained Language Models
Exploring Extreme Parameter Compression for Pre-trained Language Models
Yuxin Ren
Benyou Wang
Lifeng Shang
Xin Jiang
Qun Liu
38
18
0
20 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
284
3,583
0
02 May 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A
  Large-Scale Generative Language Model
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
Shaden Smith
M. Patwary
Brandon Norick
P. LeGresley
Samyam Rajbhandari
...
Mohammad Shoeybi
Yuxiong He
Michael Houston
Saurabh Tiwary
Bryan Catanzaro
MoE
139
737
0
28 Jan 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
103
1,577
0
20 Jan 2022
Scaling Language Models: Methods, Analysis & Insights from Training
  Gopher
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae
Sebastian Borgeaud
Trevor Cai
Katie Millican
Jordan Hoffmann
...
Jeff Stanway
L. Bennett
Demis Hassabis
Koray Kavukcuoglu
G. Irving
68
1,303
0
08 Dec 2021
Direction is what you need: Improving Word Embedding Compression in
  Large Language Models
Direction is what you need: Improving Word Embedding Compression in Large Language Models
Klaudia Bałazy
Mohammadreza Banaei
R. Lebret
Jacek Tabor
Karl Aberer
45
6
0
15 Jun 2021
Multi-Head Attention: Collaborate Instead of Concatenate
Multi-Head Attention: Collaborate Instead of Concatenate
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
23
110
0
29 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
507
41,106
0
28 May 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model
  Compression
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
Yihuan Mao
Yujing Wang
Chufan Wu
Chen Zhang
Yang-Feng Wang
Yaming Yang
Quanlu Zhang
Yunhai Tong
Jing Bai
39
72
0
08 Apr 2020
Scaling Laws for Neural Language Models
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
458
4,662
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
282
42,038
0
03 Dec 2019
Structured Pruning of Large Language Models
Structured Pruning of Large Language Models
Ziheng Wang
Jeremy Wohlwend
Tao Lei
38
283
0
10 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
136
7,437
0
02 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
272
6,420
0
26 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
93
588
0
25 Sep 2019
TinyBERT: Distilling BERT for Natural Language Understanding
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Chen
Linlin Li
F. Wang
Qun Liu
VLM
62
1,847
0
23 Sep 2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model
  Compression
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
39
28
0
27 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
415
24,160
0
26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
183
8,386
0
19 Jun 2019
Are Sixteen Heads Really Better than One?
Are Sixteen Heads Really Better than One?
Paul Michel
Omer Levy
Graham Neubig
MoE
80
1,051
0
25 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
76
1,120
0
23 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
998
93,936
0
11 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
658
7,080
0
20 Apr 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
484
129,831
0
12 Jun 2017
Pointer Sentinel Mixture Models
Pointer Sentinel Mixture Models
Stephen Merity
Caiming Xiong
James Bradbury
R. Socher
RALM
173
2,814
0
26 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
172
3,687
0
31 Aug 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
43
221
0
29 Jun 2016
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low
  Bitwidth Gradients
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
Shuchang Zhou
Yuxin Wu
Zekun Ni
Xinyu Zhou
He Wen
Yuheng Zou
MQ
95
2,080
0
20 Jun 2016
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
247
6,628
0
08 Jun 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
243
19,523
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
882
149,474
0
22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
90
1,168
0
18 Dec 2014
Revisiting Natural Gradient for Deep Networks
Revisiting Natural Gradient for Deep Networks
Razvan Pascanu
Yoshua Bengio
ODL
101
388
0
16 Jan 2013
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