Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion

3 October 2023

Papers citing "Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion"

5 / 5 papers shown

Title
Understanding and Minimising Outlier Features in Neural Network Training Bobby He Lorenzo Noci Daniele Paliotta Imanol Schlag Thomas Hofmann 39 3 0 29 May 2024
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping James Martens Andy Ballard Guillaume Desjardins G. Swirszcz Valentin Dalibard Jascha Narain Sohl-Dickstein S. Schoenholz 88 43 0 05 Oct 2021
Larger-Scale Transformers for Multilingual Masked Language Modeling Naman Goyal Jingfei Du Myle Ott Giridhar Anantharaman Alexis Conneau 90 98 0 02 May 2021
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 227 348 0 14 Jun 2018
Global optimality conditions for deep neural networks Chulhee Yun S. Sra Ali Jadbabaie 128 117 0 08 Jul 2017