63 days 09:47:58

Virtual-only, 5-7 November 2021

# 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.

Learn from the top world experts

Share your knowledge

Meet the ML community

Feel the unique atmosphere

# Registration

Early Bird

Submissions close: 10 October 2021

 

  • Student: 20 PLN
  • Regular: 40 PLN
Regular

Registration starts: 14 October 2021

  •  
  • Student: 30 PLN
  • Regular: 60 PLN

# Conference Timeline

Students' Day - submissions open
9 June 2021

Call for Contributions
- submissions open
27 July 2021

Early Bird registration opens
1 September 2021

Call for Contribution
- submissions close
3 October 2021

Call for Contributions
- announcement of the results
8 October 2021

Early Bird registration closes
10 October 2021

Students' Day - submissions close
10 October 2021

Early Birds
- announcement of the results
12 October 2021

Students' Day
- announcement of the results
13 October 2021

Regular Registration starts
14 October 2021

ML in PL Conference 2021
5-7 November 2021

# Invited Speakers

  • Marta Garnelo

    Marta Garnelo

    Marta is a senior research scientist at DeepMind where she has primarily worked on deep generative models and meta learning. As part of this research she has been involved in developing Generative Query Networks and led the work on Neural Processes. In addition to generative models her recent interests have expanded to multi-agent systems and game theory. Prior to DeepMind Marta obtained her PhD from Imperial College London, where she also worked on symbolic reinforcement learning.

  • Lukasz Kaiser

    Lukasz Kaiser

    Lukasz is a deep learning researcher who works on fundamental aspects of deep learning and natural language processing. He has co-invented Transformers and other neural sequence models and co-authored the TensorFlow system and the Tensor2Tensor and Trax libraries. Before working on machine learning, Lukasz was a tenured researcher at University Paris Diderot and worked on logic and automata theory. He received his PhD from RWTH Aachen University in 2008 and his MSc from the University of Wroclaw, Poland.

  • Marta Kwiatkowska

    Marta Kwiatkowska

    Marta Kwiatkowska is a Professor of Computing Systems and Fellow of Trinity College, University of Oxford. She is known for fundamental contributions to the theory and practice of model checking for probabilistic systems, focusing on automated techniques for verification and synthesis from quantitative specifications. She led the development of the PRISM model checker, the leading software tool in the area and winner of the HVC Award 2016. Probabilistic model checking has been adopted in diverse fields, including distributed computing, wireless networks, security, robotics, healthcare, systems biology, DNA computing, and nanotechnology, with genuine flaws found and corrected in real-world protocols. Kwiatkowska is the first female winner of the Royal Society Milner Award, winner of the BCS Lovelace Medal, and was awarded an honorary doctorate from KTH Royal Institute of Technology in Stockholm. She won two ERC Advanced Grants, VERIWARE and FUN2MODEL, and is a co-investigator of the EPSRC Programme Grant on Mobile Autonomy. Kwiatkowska is a Fellow of the Royal Society, a Fellow of ACM, EATCS, BCS and PTNO, and a Member of Academia Europea.

  • Rich Caruana

    Rich Caruana

    Rich Caruana is a Senior Principal Researcher at Microsoft. His research focus is on intelligible/transparent modeling and machine learning for medical decision-making. Before joining Microsoft, Rich was on the faculty at Cornell, at UCLA's Medical School, and at CMU's Center for Learning and Discovery. Rich's Ph.D. is from CMU, and his thesis on Multitask Learning helped create interest in the new subfield of Transfer Learning. Rich received an NSF CAREER Award in 2004 for Meta Clustering.

  • Daphne Koller

    Daphne Koller

    Daphne Koller is CEO and Founder of insitro, a machine-learning enabled drug discovery company. Daphne is also co-founder of Engageli, was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, the co-CEO and President of Coursera, and the Chief Computing Officer of Calico, an Alphabet company in the healthcare space. She is the author of over 200 refereed publications appearing in venues such as Science, Cell, and Nature Genetics. Daphne was recognized as one of TIME Magazine’s 100 most influential people in 2012. She received the MacArthur Foundation Fellowship in 2004 and the ACM Prize in Computing in 2008. She was inducted into the National Academy of Engineering in 2011 and elected a fellow of the American Association for Artificial Intelligence in 2004, the American Academy of Arts and Sciences in 2014, and the International Society of Computational Biology in 2017.

  • Yoshua Bengio

    Yoshua Bengio

    Yoshua Bengio is a Full Professor in the Department of Computer Science and Operations Research at Université de Montreal, as well as the Founder and Scientific Director of Mila and the Scientific Director of IVADO. Considered one of the world’s leaders in artificial intelligence and deep learning, he is the recipient of the 2018 A.M. Turing Award with Geoff Hinton and Yann LeCun, known as the Nobel prize of computing. He is a Fellow of both the Royal Society of London and Canada, an Officer of the Order of Canada, and a Canada CIFAR AI Chair.

# Call for Contributors

We are very excited to invite you to submit your proposals for contributed talks and posters for ML in PL ‘21 Conference!

All accepted talks and posters will be presented during the Main Conference and their authors will receive a free ticket.

Please check deadline and all details on the dedicated Call for Contributors subpage.

# Panel Discussion

Prospects for ML in Poland: education and work

Wondering what working in the Machine Learning sector looks like in Poland? Or maybe you are entering the ML world and want to know where to start?
 
If the answer to any of these questions is yes then we have something for you! Join the panel discussion "Prospects for ML in Poland: education and work"
 
This is a unique opportunity to learn more about the Polish ML scene from our experienced speakers!
Important info: this is the only event during the entire conference that will be held entirely in Polish.

# Women in ML in PL

At #MLinPL, we understand the importance of supporting historically underrepresented groups. That's why we are glad to present our new initiative: Women in ML in PL.

During Saturday and Sunday we will hold two events dedicated to empowering women in Machine Learning research:
Workshop “Cracking the coding interview”
A panel of female researchers working in natural language processing, bioinformatics and at the intersection of applied physics and machine learning.

More on each soon!

# Students' Day

Registration for Students’ Day for #MLinPL Conference 2021 is now open! We are very excited to invite you to submit your talk's proposals. Your talks should be about 20 minutes long.

Participation in Students' Day is free of charge. Moreover, all accepted speakers will receive tickets for the whole ML in PL Conference 2021!

Check out detailed information here.
Don't hesitate: the deadline for submissions passes 10 October 2021

# Strategic Sponsor

# Platinum Sponsors

# Gold Sponsors

# Silver Sponsor

# Partners

# Scientific Board

Ewa Szczurek

University of Warsaw

Ewa Szczurek is an assistant professor at the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw. She holds two Master degrees, one from the Uppsala University, Sweden and one from the University of Warsaw, Poland. She finished PhD studies at the Max Planck Institute for Molecular Genetics in Berlin, Germany and conducted postdoctoral research at ETH Zurich, Switzerland. She now leads a research group focusing on machine learning and molecular biology, with most applications in computational oncology.

Henryk Michalewski

Google Brain

Henryk Michalewski obtained his Ph.D. in Mathematics and Habilitation in Computer Science from the University of Warsaw. Henryk spent a semester in the Fields Institute, was a postdoc at the Ben Gurion University in Beer-Sheva and a visiting professor in the École normale supérieure de Lyon. He was working on topology, determinacy of games, logic and automata. Then he turned his interests to more practical games and wrote two papers on Morpion Solitaire. Presenting these papers at the IJCAI conference in 2015 he met researchers from DeepMind and discovered the budding field of deep reinforcement learning. This resulted in a series of papers including Learning from memory of Atari 2600, Hierarchical Reinforcement Learning with Parameters, Distributed Deep Reinforcement Learning: Learn how to play Atari games in 21 minutes and Reinforcement Learning of Theorem Proving.

Jacek Tabor

Jagiellonian University (GMUM)

Jacek Tabor in his scientific work deals with broadly understood machine learning, in particular with deep generative models. He is also a member of the GMUM group (gmum.net) aimed at popularization and development of machine learning methods in Cracow.

Jan Chorowski

University of Wrocław

Jan Chorowski is an Associate Professor at Faculty of Mathematics and Computer Science at University of Wrocław. He received his M.Sc. degree in electrical engineering from Wrocław University of Technology and Ph.D. from University of Louisville. He has visited several research teams, including Google Brain, Microsoft Research and Yoshua Bengio’s lab. His research interests are applications of neural networks to problems which are intuitive and easy for humans and difficult for machines, such as speech and natural language processing.

Krzysztof Dembczyński

Yahoo! Research

Prior to joining Yahoo! Research Krzysztof Dembczyński was an Assistant Professor at Poznan University of Technology (PUT), Poland. He has received his PhD degree in 2009 and Habilitation degree in 2018, both from PUT. During his PhD studies he was mainly working on preference learning and boosting-based decision rule algorithms. During his postdoc at Marburg University, Germany, he has started working on multi-target prediction problems with the main focus on multi-label classification. Currently, his main scientific activity concerns extreme classification, i.e., classification problems with an extremely large number of labels. His articles has been published at the premier conferences (ICML, NeurIPS, ECML) and in the leading journals (JMLR, MLJ, DAMI) in the field of machine learning. As a co-author he won the best paper award at ECAI 2012 and at ACML 2015. He serves as an Area Chair for ICML, NeurIPS, and ICLR, and as an Action Editor for MLJ.

Krzysztof Geras

New York University

Krzysztof Geras is an assistant professor at NYU School of Medicine and an affiliated faculty at NYU Center for Data Science. His main interests are in unsupervised learning with neural networks, model compression, transfer learning, evaluation of machine learning models and applications of these techniques to medical imaging. He previously completed a postdoc at NYU with Kyunghyun Cho, a PhD at the University of Edinburgh with Charles Sutton and an MSc as a visiting student at the University of Edinburgh with Amos Storkey. His BSc is from the University of Warsaw. He also completed industrial internships in Microsoft Research (Redmond and Bellevue), Amazon (Berlin) and J.P. Morgan (London).

Marek Cygan

University of Warsaw, Nomagic

Marek Cygan is currently an associate professor at the University of Warsaw, leading a newly created Robot learning group, focused on robotic manipulation and computer vision. Additionally, CTO and co-founder of Nomagic, a startup delivering smart pick-and-place robots for intralogistics applications. Earlier doing research in various branches of algorithms, having an ERC Starting grant on the subject.

Piotr Miłoś

University of Warsaw

Piotr Miłoś is an Associate Professor at the Faculty of Mathematics, Mechanics and Computer Science of the University of Warsaw. He received his Ph.D. in probability theory. From 2016 he has developed interest in machine learning. Since then he collaborated with deepsense.ai on various research projects. His focus in on problems in reinforcement learning.

Przemysław Biecek

Warsaw University of Technology, University of Warsaw

Przemysław Biecek obtained his Ph.D. in Mathematical Statistics and MSc in Software Engineering at Wroclaw University of Science and Technology. He is currently working as an Associate Professor at the Faculty of Mathematics and Information Science, Warsaw University of Technology, and an Assistant Professor at the Faculty of Mathematics, Informatics and Mechanics, University of Warsaw.

Razvan Pascanu

Deep Mind

Razvan Pascanu is a Research Scientist at Google DeepMind, London. He obtained a Ph.D. from the University of Montreal under the supervision of Yoshua Bengio. While in Montreal he was a core developer of Theano. Razvan is also one of the organizers of the Eastern European Summer School. He has a wide range of interests around deep learning including optimization, RNNs, meta-learning and graph neural networks.

Tomasz Trzciński

Warsaw University of Technology, Tooploox, Jagiellonian University

Tomasz Trzciński is an Associate Professor at Warsaw University of Technology since 2015, where he leads a Computer Vision Lab. He was a Visiting Scholar at Stanford University in 2017 and at Nanyang Technological University in 2019. Previously, he worked at Google in 2013, Qualcomm in 2012 and Telefónica in 2010. He is an Associate Editor of IEEE Access and MDPI Electronics and frequently serves as a reviewer in major computer science conferences (CVPR, ICCV, ECCV, NeurIPS, ICML) and journals (TPAMI, IJCV, CVIU). He is a Senior Member of IEEE and an expert of National Science Centre and Foundation for Polish Science. He is a Chief Scientist at Tooploox and a co-founder of Comixify, a technology startup focused on using machine learning algorithms for video editing.

Viorica Patraucean

Deep Mind

Viorica Patraucean is a research scientist in DeepMind. She obtained her PhD from University of Toulouse on probabilistic models for low-level image processing. She then carried out postdoctoral work at Ecole Polytechnique Paris and University of Cambridge, on processing of images, videos, and point-clouds. Her main research interests revolve around efficient vision systems, with a focus on deep video models. She is one of the main organisers of EEML summer school and has served as program committee member for top Computer Vision and Machine Learning conferences.

# ML in PL Association

We are a group of young people who are determined to bring the best of Machine Learning to Central and Eastern Europe by creating a high-quality event for every ML enthusiast. Although we come from many different academic backgrounds, we are united by the common goal of spreading the knowledge about the discipline.

Learn more about ML in PL Association
Maja Jabłońska

Project Leader

Michał Tyrolski
Vice Project Leader
Karolina Cwojdzińska
Finance Coordinator & Premeetings Coordinator
Anna Balcerak
Graphics Coordinator
Weronika Obcowska

Marketing Coordinator

Julia Bazińska

Panel Discussion Coordinator

Martyna Kumaszka

Premeetings Coordinator & Call for Contributions Team

Jakub Łaguna

Registration Coordinator

Stanisław Jastrzębski

Scientific Program Coordinator

Aleksandra Nowak

Special Ops Coordinator

Michał Filipiuk
Sponsorship Coordinator
Wiktor Daniec
Students' Day Team Coordinator
Agnieszka Słowik

Women in ML in PL Coordinator & Scientific Program Team

Kamil Kojs
Call for Contributions Team
Marek Wydmuch
Call for Contributions Team
Małgorzata Bocian
Graphics Team
Patrycja Zalewska
Legal Team
Jakub Boryk
Marketing Officer
Alexander Golys

Marketing Officer

Dima Zhylko
Marketing Officer
Joanna Chlebus
Marketing Officer
Karolina Bolesta
Marketing Officer
Antoni Kowalczuk
Panel Discussion Officer
Jolanta Mozyrska
Panel Discussion Officer
Piotr Nawrot
Panel Discussion Team
Maciej Chrabąszcz
Panel Discussion Team
Franek Budrowski
Scientific Program Officer
Adam Goliński
Scientific Program Team
Maciej Kaczkowski
Special Ops Team
Daniel Klepacki
Special Ops Team
Rafał Rysiejko
Sponsorship Officer
Łukasz Zalewski
Sponsorship Officer
Alicja Grochocka
Sponsorship Team
Łukasz Pszenny
Sponsorship Team
Emilia Wiśnios
Students' Day Officer
Patryk Bundyra
Students' Day Officer
Aleksander Buła
Project Mentor
Kamil Bladoszewski

Project Mentor

Michał Królikowski
Project Mentor
Michał Zmysłowski
Project Mentor