We continue with a micro-series, where we talk about alternative learning methods. In the first episode of this micro-series our guest is Dmitry Krotov, Researcher at MIT-IBM Watson AI Lab and IBM Research in Cambridge. Among many things, we will talk about an unusual learning rule, which has a degree of biological plausibility.
Find Dmitry on Linkedin: https://www.linkedin.com/in/krotovdmitry/
Paper: Unsupervised Learning by Competing Hidden Units
https://arxiv.org/abs/1806.10181
Paper: Local Unsupervised Learning for Image Analysis:
https://arxiv.org/abs/1908.08993
---General Info---
About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer.
About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management.
About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe.
Website of the podcast: http://machinelearningcafe.org/
Host's LinkedIn: https://www.linkedin.com/in/miklostoth/
Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/
Write an email to the host: miklos@machinelearningcafe.org
Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface.
---Copyright Info---
Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)
What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016
"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014
Conversational AI at Rasa with Vladimir Vlasov - 013
What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012
Extra: Machine Learning at John Deere with Marco Lemessi - 011
The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010
Everything is just a wicked graph with Benedek Rozemberczki - 009
Ratings and Marketing Attribution at Foursquare with Max Sklar - 008
MISH Activation Function with Diganta Misra - 007
Finding the label errors with Cleanlab with Curtis Northcutt - 006
A New Deep Learning Optimizer called Ranger with Less Wright - 005
Cutting-Edge Gradient Descent Variants with Levente Szabados - 004
Tree-based methods for procurement & are expert systems alive? with Renee Ahel - 003
Can we predict the accuracy of a Neural Network? Yes, with the WeightWatcher tool by Charles Martin, Ph.D. - 002
Progressively Growing GANs & Style GANs with Alexandr Honchar - 001
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