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Ievgen Redko
Ievgen Redko

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Published in Towards Data Science

·Pinned

Optimal transport: a hidden gem that empowers today’s machine learning

Explaining one of the most emerging methods in machine learning right now — Would you believe me if I were to say that there is a single solution to such different problems as brain decoding in neuroscience, shape reconstruction in computer graphics, color transfer in computer vision, and automatic translation in neural language processing? And if I were to add transfer learning, image…

Machine Learning

9 min read

Optimal transport: a hidden gem that empowers today’s machine learning
Optimal transport: a hidden gem that empowers today’s machine learning
Machine Learning

9 min read


Published in Towards Data Science

·Pinned

Why worldwide collaboration can be up to 5 times more efficient than selfish behavior

Using game theory to understand the price of selfishness in times of pandemic and climate change — Have you ever wondered why we need all these international organizations that try to make all 195 countries of the world work together towards a common goal? You’ve probably heard from other people (or even presidents of certain countries) that it is just a waste of time and money, right…

Covid 19

6 min read

Why worldwide collaboration can be up to  5 times more efficient than selfish behavior
Why worldwide collaboration can be up to  5 times more efficient than selfish behavior
Covid 19

6 min read


Published in Towards Data Science

·Dec 7, 2020

Reviewing for Machine Learning Conferences Explained

From reading a paper for the first time to writing its complete review in a single Medium article — Peer-reviewing is the cornerstone of modern science, and almost all major conferences in machine learning (ML), such as NeurIPS and ICML, rely on it to decide on whether submitted papers are relevant to the community and original enough to be published there. Unfortunately, with the exponentially increasing number of submitted…

Machine Learning

11 min read

Reviewing for Machine Learning Conferences Explained
Reviewing for Machine Learning Conferences Explained
Machine Learning

11 min read


Published in Towards Data Science

·Aug 26, 2020

Hands-on guide to Python Optimal Transport toolbox: Part 2

Color transfer, Image editing and Automatic translation — As a follow-up of my previous introductory article on optimal transport and a first part of this guide provided by Aurelie Boisbunon here, I will present below how you can solve different tasks with Optimal Transport (OT) in practice using the Python Optimal Transport (POT) toolbox. To start with, let…

Machine Learning

8 min read

Hands-on guide to Python Optimal Transport toolbox: Part 2
Hands-on guide to Python Optimal Transport toolbox: Part 2
Machine Learning

8 min read


Published in ILLUMINATION

·Jun 15, 2020

What I learned from hitchhiking

30,000kms on the thumb around the globe in 1000 words — In the last 8 years of my life, I hitchhiked in almost 30 different countries with a total of around 30,000kms traveled. …

Travel

5 min read

What I learned from hitchhiking
What I learned from hitchhiking
Travel

5 min read


Published in Towards Data Science

·May 13, 2020

Why transfer learning works or fails?

An (almost) math-free guide to understanding the theory behind transfer learning and domain adaptation. — During the NIPS tutorial talk given in 2016, Andrew Ng said that transfer learning — a subarea of machine learning where the model is learned and then deployed in related, yet different, areas — will be the next driver of machine learning commercial success in the years to come. …

Machine Learning

10 min read

Why transfer learning works or fails?
Why transfer learning works or fails?
Machine Learning

10 min read

Ievgen Redko

Ievgen Redko

91 Followers

Associate professor in CS/ML, ievred.github.io/, twitter.com/IevgenRedko

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