Stable and low-precision training for large-scale vision-language models

Stable and low-precision training for large-scale vision-language models

25 April 2023

Mitchell Wortsman

Tim Dettmers

Luke Zettlemoyer

Papers citing "Stable and low-precision training for large-scale vision-language models"

19 / 19 papers shown

Title
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam Tianjin Huang Haotian Hu Zhenyu (Allen) Zhang Gaojie Jin X. Li ... Tianlong Chen Lu Liu Qingsong Wen Zhangyang Wang Shiwei Liu MQ 35 0 0 24 Feb 2025
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters Sebastian Salwig Till Kahlke F. Hirschberger D. Forster Jorg Lucke VLM 82 0 0 21 Jan 2025
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training Haocheng Xi Han Cai Ligeng Zhu Y. Lu Kurt Keutzer Jianfei Chen Song Han MQ 60 9 0 25 Oct 2024
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words Kento Nozawa Takashi Masuko Toru Taniguchi 43 1 0 15 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology Eric Zimmermann Eugene Vorontsov Julian Viret Adam Casson Michal Zelechowski ... Razik Yousfi Thomas J. Fuchs Nicolò Fusi Siqi Liu Kristen Severson MedIm 29 27 0 01 Aug 2024
$u-$\mu$P: The Unit-Scaled Maximal Update Parametrization$ u- $\mu$ P: The Unit-Scaled Maximal Update Parametrization Charlie Blake C. Eichenberg Josef Dean Lukas Balles Luke Y. Prince Bjorn Deiseroth Andres Felipe Cruz Salinas Carlo Luschi Samuel Weinbach Douglas Orr 51 9 0 24 Jul 2024
Understanding and Minimising Outlier Features in Neural Network Training Bobby He Lorenzo Noci Daniele Paliotta Imanol Schlag Thomas Hofmann 34 3 0 29 May 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 59 7 0 23 May 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Jiawei Zhao Zhenyu (Allen) Zhang Beidi Chen Zhangyang Wang A. Anandkumar Yuandong Tian 41 173 0 06 Mar 2024
Small-scale proxies for large-scale Transformer training instabilities Mitchell Wortsman Peter J. Liu Lechao Xiao Katie Everett A. Alemi ... Jascha Narain Sohl-Dickstein Kelvin Xu Jaehoon Lee Justin Gilmer Simon Kornblith 35 80 0 25 Sep 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse Shuangfei Zhai Tatiana Likhomanenko Etai Littwin Dan Busbridge Jason Ramapuram Yizhe Zhang Jiatao Gu J. Susskind AAML 38 64 0 11 Mar 2023
GLM-130B: An Open Bilingual Pre-trained Model Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai ... Jidong Zhai Wenguang Chen Peng-Zhen Zhang Yuxiao Dong Jie Tang BDL LRM 245 1,071 0 05 Oct 2022
FP8 Formats for Deep Learning Paulius Micikevicius Dusan Stosic N. Burgess Marius Cornea Pradeep Dubey ... Naveen Mellempudi S. Oberman M. Shoeybi Michael Siu Hao Wu BDL VLM MQ 67 121 0 12 Sep 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,764 0 24 Feb 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 220 510 0 11 Feb 2021
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference D. Khudia Jianyu Huang Protonu Basu Summer Deng Haixin Liu Jongsoo Park M. Smelyanskiy FedML MQ 32 44 0 13 Jan 2021
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 86 336 0 05 Jan 2021
BinaryBERT: Pushing the Limit of BERT Quantization Haoli Bai Wei Zhang Lu Hou Lifeng Shang Jing Jin Xin Jiang Qun Liu Michael Lyu Irwin King MQ 138 221 0 31 Dec 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 225 574 0 12 Sep 2019