# About event
The ML in PL Conference is an event focused on the best of Machine Learning both in academia and in business. This year, due to the spread of COVID-19 around the world, we've decided to gather remotely. We introduce to you ML in PL Virtual Event 2020 – a one-day event during which you'll be able to discuss bright ideas presented on the poster sessions, listen to the invited speakers from top research facilities, tune in for panel discussion, and find new colleagues during the online networking sessions.
More information available soon.
Learn from the top world experts
Share your knowledge
Meet ML community
Feel the unique atmosphere
# Invited speakers
Kyle Cranmer is a Professor of Physics and Data Science at New York University and Executive Director of the Moore-Sloan Data Science Environment at NYU. His background is in experimental particle physics, and he works on the ATLAS experiment at the Large Hadron Collider. Professor Cranmer obtained his Ph.D. in Physics from the University of Wisconsin-Madison in 2005 and his B.A. in Mathematics and Physics from Rice University. He was awarded the Presidential Early Career Award for Science and Engineering in 2007 and the National Science Foundation’s Career Award in 2009. Professor Cranmer developed a framework that enables collaborative statistical modeling, which was used extensively for the discovery of the Higgs boson in July, 2012. His current interests are at the intersection of physics, statistics, and machine learning.
Alexei Efros is a Professor of Computer Science at UC Berkeley since 2013. His research is in the areas of computer vision and computer graphics. In the past few years, his lab has been at the forefront of reviving self-supervised learning, releasing many influential works including pix2pix and CycleGAN. He received his BS from University of Utah in 1997, and PhD from UC Berkeley in 2003. Prior to joining Berkeley, he was a faculty at CMU for nine years and has also been affiliated with ENS/INRIA and the University of Oxford.
To be announced
The speaker hasn't been announced yet. Please, be patient.
Call for Posters open
Call for Posters closed
Call for Posters results
We are incredibly glad to invite you to our conference! The registration is now open!
By registering to the conference, you’ll get access to three talks from international experts, a panel discussion about a career path in the machine learning field, a poster session presenting various research on data science and machine learning topics (maybe even yours? Submit your poster), and numerous networking possibilities. The number of tickets is limited – from all the applications we’ll choose the best ones and qualify them for a ticket to ML in PL Virtual Event 2020.
Since the event is shorter than the regular conference and is online, this year the tickets are free for all qualified!
The registration closes on 29 November 2020.Apply now!
# Panel Discussion
Are you at the beginning of your career in Artificial Intelligence? Or maybe you're considering changing your direction?
Come to our discussion panel to listen to experts working in Machine Learning! You'll have an opportunity to hear from academia, startups, consulting, and industry research. Check the topics of the panel on the right.
We'll be open to questions from the audience.
Panelists will be announced soon.
Machine learning skills
skill sets needed in different types of careers
is it easy to switch from research to industry or vice versa?
relevance of machine learning research in the industry