v1v2v3 (latest)

Understanding the Difficulty of Training Transformers

17 April 2020

Xiaodong Liu

ArXiv (abs)PDF HTML Github (329★)

Papers citing "Understanding the Difficulty of Training Transformers"

40 / 40 papers shown

Title
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization Zhijian Zhuo Yutao Zeng Ya Wang Sijun Zhang Jian Yang Xiaoqing Li Xun Zhou Jinwen Ma 79 0 0 06 Mar 2025
More Expressive Attention with Negative Weights Ang Lv Ruobing Xie Shuaipeng Li Jiayi Liao Xingwu Sun Zhanhui Kang Di Wang Rui Yan 89 1 0 11 Nov 2024
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis Weronika Ormaniec Felix Dangel Sidak Pal Singh 113 7 0 14 Oct 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 70 5 0 30 Jan 2024
Very Deep Transformers for Neural Machine Translation Xiaodong Liu Kevin Duh Liyuan Liu Jianfeng Gao 60 104 0 18 Aug 2020
ReZero is All You Need: Fast Convergence at Large Depth Thomas C. Bachlechner Bodhisattwa Prasad Majumder H. H. Mao G. Cottrell Julian McAuley AI4CE 83 282 0 10 Mar 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 142 996 0 12 Feb 2020
Why are Adaptive Methods Good for Attention Models? J.N. Zhang Sai Praneeth Karimireddy Andreas Veit Seungyeon Kim Sashank J. Reddi Surinder Kumar S. Sra 95 80 0 06 Dec 2019
MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning Guangxiang Zhao Xu Sun Jingjing Xu Zhiyuan Zhang Liangchen Luo LRM 48 49 0 17 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 470 20,317 0 23 Oct 2019
Transformers without Tears: Improving the Normalization of Self-Attention Toan Q. Nguyen Julian Salazar 90 231 0 14 Oct 2019
On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han ODL 289 1,907 0 08 Aug 2019
Depth Growing for Neural Machine Translation Lijun Wu Yiren Wang Yingce Xia Fei Tian Fei Gao Tao Qin Jianhuang Lai Tie-Yan Liu 55 41 0 03 Jul 2019
Stand-Alone Self-Attention in Vision Models Prajit Ramachandran Niki Parmar Ashish Vaswani Irwan Bello Anselm Levskaya Jonathon Shlens VLM SLR ViT 101 1,216 0 13 Jun 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View Yiping Lu Zhuohan Li Di He Zhiqing Sun Bin Dong Tao Qin Liwei Wang Tie-Yan Liu AI4CE 78 174 0 06 Jun 2019
Learning Deep Transformer Models for Machine Translation Qiang Wang Bei Li Tong Xiao Jingbo Zhu Changliang Li Derek F. Wong Lidia S. Chao 80 672 0 05 Jun 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling Myle Ott Sergey Edunov Alexei Baevski Angela Fan Sam Gross Nathan Ng David Grangier Michael Auli VLM FaML 114 3,156 0 01 Apr 2019
Pay Less Attention with Lightweight and Dynamic Convolutions Felix Wu Angela Fan Alexei Baevski Yann N. Dauphin Michael Auli 87 610 0 29 Jan 2019
Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang Yann N. Dauphin Tengyu Ma ODL AI4CE 94 351 0 27 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Adaptive Input Representations for Neural Language Modeling Alexei Baevski Michael Auli 106 390 0 28 Sep 2018
Music Transformer Cheng-Zhi Anna Huang Ashish Vaswani Jakob Uszkoreit Noam M. Shazeer Ian Simon Curtis Hawthorne Andrew M. Dai Matthew D. Hoffman Monica Dinculescu Douglas Eck 205 486 0 12 Sep 2018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 304 354 0 14 Jun 2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation Mengzhao Chen Orhan Firat Ankur Bapna Melvin Johnson Wolfgang Macherey ... Niki Parmar M. Schuster Zhifeng Chen Yonghui Wu Macduff Hughes AIMat 69 457 0 26 Apr 2018
Training Tips for the Transformer Model Martin Popel Ondrej Bojar 72 311 0 01 Apr 2018
How to Start Training: The Effect of Initialization and Architecture Boris Hanin David Rolnick 76 255 0 05 Mar 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 144 1,685 0 15 Feb 2018
Visualizing the Loss Landscape of Neural Nets Hao Li Zheng Xu Gavin Taylor Christoph Studer Tom Goldstein 258 1,898 0 28 Dec 2017
Mean Field Residual Networks: On the Edge of Chaos Greg Yang S. Schoenholz 71 194 0 24 Dec 2017
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice Jeffrey Pennington S. Schoenholz Surya Ganguli ODL 43 254 0 13 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 736 132,363 0 12 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
The Shattered Gradients Problem: If resnets are the answer, then what is the question? David Balduzzi Marcus Frean Lennox Leary J. P. Lewis Kurt Wan-Duo Ma Brian McWilliams ODL 73 406 0 28 Feb 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 423 10,531 0 21 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 94 612 0 19 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 338 18,651 0 06 Feb 2015
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks Andrew M. Saxe James L. McClelland Surya Ganguli ODL 183 1,852 0 20 Dec 2013