Gradient Amplification: An efficient way to train deep neural networks

Gradient Amplification: An efficient way to train deep neural networks

16 June 2020

Papers citing "Gradient Amplification: An efficient way to train deep neural networks"

9 / 9 papers shown

Title
Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data Filip Stefaniuk Robert Ślepaczuk AIFin 48 0 0 23 Mar 2025
Predicting the Emergence of Solar Active Regions Using Machine Learning Spiridon Kasapis I. Kitiashvili Alexander Kosovichev J. Stefan Bhairavi Apte 10 0 0 14 Feb 2024
Intelligent gradient amplification for deep neural networks S. Basodi K. Pusuluri Xueli Xiao Yi Pan ODL 21 1 0 29 May 2023
SING: A Plug-and-Play DNN Learning Technique Adrien Courtois Damien Scieur Jean-Michel Morel Pablo Arias Thomas Eboli 43 0 0 25 May 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 58 14 0 10 Jan 2023
AI enhanced finite element multiscale modelling and structural uncertainty analysis of a functionally graded porous beam Da Chen Nima C. Emami Shahed Rezaei P. Rosendahl Bai-Xiang Xu J. Schneider K. Gao Jie Yang AI4CE 18 0 0 02 Nov 2022
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification Liangrui Pan Lian-min Wang Mingting Liu Zhujun Xu Liwen Xu Shaoliang Peng 29 2 0 20 Oct 2022
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 45 0 0 28 Jul 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 379 10,658 0 19 Feb 2017