Vol-2692
urn:nbn:de:0074-2692-5

Copyright © JJJJ for the individual papers by the papers' authors. Copyright © JJJJ for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

ADGN 2020
Applied Deep Generative Networks

Proceedings of the Workshop on Applied Deep Generative Networks
co-located with 24th European Conference on Artificial Intelligence (ECAI 2020)

Santiago de Compostela, Spain, August 29th, 2020.

Edited by

Jer Hayes (1)
Cathal Gurrin (2)
Azzurra Pini (3)
Mark Keane (4)

(1) Accenture.
(2) Dublin City University, School of Computing.
(3) Fjord.
(4) University College Dublin, School of Computer Science.

Table of Contents

Preface

Accepted papers

Limitations and Applicability of GANs in Banking Domain
Anubha Pandey, Deepak Bhatt, Tanmoy Bhowmik
Latent Weights Generating for Few Shot Learning Using Information Theory
Yiwei Zhang, Zongyang Li
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation information
Gusztáv Gaál, Balázs Maga, András Lukács
TravelGANs. A Design Approach to Style Transfer
Azzurra Pini
Generative Design for Social Manufacturing
Carlos González-Val, Santiago Muiños-Landin
ChemoVerse: Manifold Traversal of Latent Spaces for Novel Molecule Discovery
Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain, Jer Hayes
Towards Latent Space Exploration for Classifier Improvement
Paulo Fernandes, João Correia, Penousal Machado

2020-09-11: submitted by Jer Hayes, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-30: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|