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AMLD 2019 : Applied Machine Learning Days


When Jan 26, 2019 - Jan 29, 2019
Where EPFL, Lausanne, Switzerland
Submission Deadline Dec 14, 2018
Notification Due Dec 23, 2018
Final Version Due Jan 28, 2019
Categories    machine learning   artificial intelligence

Call For Papers


Applied Machine Learning Days 2019
January 26-29, 2019
EPFL, Lausanne, Switzerland


The Applied Machine Learning Days will take place from January 26th to 29th, 2019, at the Swiss Tech Convention Center on EPFL campus. It is one of the largest machine learning & AI events in Europe, focused specifically on the applications of machine learning and AI, making it particularly interesting to industry, academia and public goods organizations.

The first two days are focused on providing hands-on experience, with workshops, training sessions, coding classes and tutorials. The following two days of conference feature top-level speakers, poster sessions and exhibits. For the first time, AMLD2019 will have 16 different tracks (smaller parallel sessions) on specific AI & ML domains.

Call for Posters

Display and present your poster during the Applied Machine Learning Days.

We invite contributions of posters related to machine learning and applications, including scientific, industrial or interdisciplinary projects by both students and professionals of all backgrounds. Demos and showcases are highly welcome.

We plan to select a broad set of interesting applications which benefit discussion and interaction. Posters will be clustered by themes matching the domain-specific tracks. If your poster doesn’t fit in any of these domains, select "Applied Machine Learning - General".

We will select the best posters for a short 2 min spotlight plenary presentation.

Please spread this info among your interested colleagues!

Format: Poster size should be standard A0 (841×1189 mm) in portrait or landscape orientation.

SUBMISSION DEADLINE: Friday October 19, 2018 23:59 UTC
NOTIFICATION: October 26, 2019



- Garry Kasparov (Chess Grandmaster)
- Zeynep Tufekci (The New York Times)
- Jeff Dean (Google)
- Katja Hofmann (Microsoft Research)
- Antoine Bordes (Facebook AI Research)
- Alex "Sandy" Pentland (MIT Media Lab)
- Yuan (Alan) Qi (Ant Financial)
- Yuanchun Shi (Tsinghua University)
- Li Pu (Segway Robotics)
- Christopher Bishop (Microsoft Research)
- Evgeniy Gabrilovich (Google)


• AI & Environment
• AI & Trust
• AI & Language
• AI & Media
• AI & Learning Analytics
• AI & Industry
• AI & Intellectual Property
• AI & the Molecular World
• AI & Health
• AI & Finance
• AI & Transportation
• AI & Networks
• AI & Nutrition
• AI & Cities
• AI & Society
• AI & Computer Systems

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