Deep Learning using Rectified Linear Units (ReLU)

22 March 2018

Papers citing "Deep Learning using Rectified Linear Units (ReLU)"

18 / 218 papers shown

Title
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 13 13 0 05 Nov 2020
Weed Density and Distribution Estimation for Precision Agriculture using Semi-Supervised Learning Shantam Shorewala Armaan Ashfaque R. Sidharth Ujjwal Verma 16 67 0 04 Nov 2020
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort Kyung Ho Park Eunji Park H. Kim 13 13 0 01 Nov 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 21 7 0 17 Oct 2020
i6mA-CNN: a convolution based computational approach towards identification of DNA N6-methyladenine sites in rice genome Ruhul Amin C. R. Rahman Md. Sadrul Islam Toaha Swakkhar Shatabda 11 4 0 20 Jul 2020
Semantic Segmentation With Multi Scale Spatial Attention For Self Driving Cars Abhinav Sagar Rajkumar Soundrapandiyan SSeg 11 31 0 30 Jun 2020
Deep Residual Neural Networks for Image in Speech Steganography Shivam Agarwal S. Venkatraman 8 4 0 30 Mar 2020
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory Mert Albaba Y. Yildiz OffRL 6 48 0 24 Mar 2020
Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS Andrew McDole Mahmoud Abdelsalam Maanak Gupta Sudip Mittal 9 41 0 15 Feb 2020
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey F. Sultana Abu Sufian P. Dutta SSeg 24 249 0 13 Jan 2020
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization Rana Abou-Khamis Omair Shafiq Ashraf Matrawy AAML 8 40 0 30 Oct 2019
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs Liu Yang Sean Treichler Thorsten Kurth Keno Fischer D. Barajas-Solano ... Valentin Churavy A. Tartakovsky Michael Houston P. Prabhat George Karniadakis AI4CE 41 37 0 29 Oct 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 11 123 0 18 Aug 2019
Capturing Financial markets to apply Deep Reinforcement Learning Souradeep Chakraborty AIFin AI4TS 11 17 0 09 Jul 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 11 9 0 09 May 2019
Understanding Ancient Coin Images Jessica Cooper Ognjen Arandjelovic 11 12 0 07 Mar 2019
Deriving star cluster parameters with convolutional neural networks. I. Age, mass, and size J. Bialopetravivcius D. Narbutis V. Vansevivcius 11 9 0 19 Jul 2018
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data Abien Fred Agarap 20 214 0 10 Sep 2017