ADGN-20: First workshop on Applied Deep Generative Networks ECAI20 Santiago de Compostela, Spain, August 29, 2020 |
Conference website | https://sites.google.com/view/adgn-20/ |
Submission link | https://easychair.org/conferences/?conf=adgn20 |
Abstract registration deadline | May 29, 2020 |
Submission deadline | May 29, 2020 |
ADGN-20 is the First workshop on Applied Deep Generative Networks.
Generative models are widely used in many subfields of AI and Machine Learning. More recently generative models using deep learning have been employed in a creative manner to generate new media (images, text and music) but they have also been applied to areas such as drug discovery and data anonymisation.
This workshop will focus on research problems related to the practical use of deep generative models in the real world.
Topics of interest include:
- Building effective deep generative models with small datasets.
- Exploring the latent space.
- Generative models for classic tabular data.
- Including human feedback to enhance performance
- New loss functions
- Deep Generative models in the health domain
- Deep Generative models in the financial domain
- Deep Generative modesl for data privacy
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
- Short papers (4-6 pages)
- Demonstration paper (4 pages)
Workshop submissions will be in the form of short papers describing recent scientific work or demonstration papers describing deep generative networks systems that have been successfully applied to a real world domain.
- May 31st - PAPER DEADLINE submission
ADGN proceedings will be published in CEUR Workshop Proceedings series.
We may create a post-workshop publication of extended versions of the workshop papers in the form of an edited book.
Organising Committee
- Cathal Gurrin - Dublin City University
- Mark Keane - University College Dublin
- Jer Hayes - Accenture Labs
- Azzurra Pini - Fjord
Venue
Worksop at ECAI20, Santiago de Compostella, Galicia, Spain.
Contact
All questions about submissions should be emailed to: jeremiah.hayes@accenture.com