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GACT: Activation Compressed Training for Generic Network Architectures

GACT: Activation Compressed Training for Generic Network Architectures

22 June 2022
Xiaoxuan Liu
Lianmin Zheng
Dequan Wang
Yukuo Cen
Weize Chen
Xu Han
Jianfei Chen
Zhiyuan Liu
Jie Tang
Joey Gonzalez
Michael W. Mahoney
Alvin Cheung
    VLM
    GNN
    MQ
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Papers citing "GACT: Activation Compressed Training for Generic Network Architectures"

12 / 12 papers shown
Title
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
39
0
0
28 Feb 2025
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Jared Fernandez
Luca Wehrstedt
Leonid Shamis
Mostafa Elhoushi
Kalyan Saladi
Yonatan Bisk
Emma Strubell
Jacob Kahn
212
3
0
20 Nov 2024
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
Haocheng Xi
Han Cai
Ligeng Zhu
Yunfan LU
Kurt Keutzer
Jianfei Chen
Song Han
MQ
75
9
0
25 Oct 2024
CompAct: Compressed Activations for Memory-Efficient LLM Training
CompAct: Compressed Activations for Memory-Efficient LLM Training
Yara Shamshoum
Nitzan Hodos
Yuval Sieradzki
Assaf Schuster
MQ
VLM
52
0
0
20 Oct 2024
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing
  Backpropagation
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation
Yuchen Yang
Yingdong Shi
Cheems Wang
Xiantong Zhen
Yuxuan Shi
Jun Xu
40
1
0
24 Jun 2024
Face processing emerges from object-trained convolutional neural networks
Face processing emerges from object-trained convolutional neural networks
Zhenhua Zhao
Ji Chen
Zhicheng Lin
Haojiang Ying
OOD
CVBM
67
0
0
29 May 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
Sunghyeon Woo
Baeseong Park
Byeongwook Kim
Minjung Jo
S. Kwon
Dongsuk Jeon
Dongsoo Lee
65
2
0
27 Feb 2024
An Evaluation of Memory Optimization Methods for Training Neural
  Networks
An Evaluation of Memory Optimization Methods for Training Neural Networks
Xiaoxuan Liu
Siddharth Jha
Alvin Cheung
29
0
0
26 Mar 2023
A Survey on Efficient Training of Transformers
A Survey on Efficient Training of Transformers
Bohan Zhuang
Jing Liu
Zizheng Pan
Haoyu He
Yuetian Weng
Chunhua Shen
31
47
0
02 Feb 2023
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training
Joya Chen
Kai Xu
Yuhui Wang
Yifei Cheng
Angela Yao
19
7
0
28 Feb 2022
ZeRO-Offload: Democratizing Billion-Scale Model Training
ZeRO-Offload: Democratizing Billion-Scale Model Training
Jie Ren
Samyam Rajbhandari
Reza Yazdani Aminabadi
Olatunji Ruwase
Shuangyang Yang
Minjia Zhang
Dong Li
Yuxiong He
MoE
177
416
0
18 Jan 2021
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
297
6,959
0
20 Apr 2018
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