An Adaptive and Momental Bound Method for Stochastic Learning

An Adaptive and Momental Bound Method for Stochastic Learning

27 October 2019

Xuancheng Ren

Papers citing "An Adaptive and Momental Bound Method for Stochastic Learning"

7 / 7 papers shown

Title
SING: A Plug-and-Play DNN Learning Technique Adrien Courtois Damien Scieur Jean-Michel Morel Pablo Arias Thomas Eboli 36 0 0 25 May 2023
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation Hanyuan Chen Ju He Wangmeng Xiang Zhi-Qi Cheng Wei Liu Han-Wen Liu Bin Luo Yifeng Geng Xuansong Xie ViT 24 31 0 03 Feb 2023
CV 3315 Is All You Need : Semantic Segmentation Competition Akide Liu Zihan Wang 35 4 0 25 Jun 2022
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 15 15 0 27 Oct 2021
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks S. Dubey S. H. Shabbeer Basha S. Singh B. B. Chaudhuri ODL 50 9 0 26 Sep 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 26 26 0 18 May 2021
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers Robin M. Schmidt Frank Schneider Philipp Hennig ODL 40 162 0 03 Jul 2020