Analysis and Optimization of Convolutional Neural Network Architectures

31 July 2017

Papers citing "Analysis and Optimization of Convolutional Neural Network Architectures"

9 / 9 papers shown

Title
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification Felipe Moreno-Vera E. Medina Jorge Poco 19 2 0 29 Aug 2023
Faster Neural Network Training with Approximate Tensor Operations Menachem Adelman Kfir Y. Levy Ido Hakimi M. Silberstein 23 26 0 21 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 18 205 0 26 Apr 2018
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 35 78 0 05 Dec 2017
The HASYv2 dataset Martin Thoma VLM 24 36 0 29 Jan 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012