ICLR 2022 — A Selection of 10 Papers You Shouldn’t Miss
Image by Zeta Alpha.The International Conference in Learning Representations (ICLR) will be held online (for the third year in a row!) from Monday, April 25th through Friday, April 29th. It’s one of the biggest and most beloved conferences in the world of Machine Learning Research, and this year is no exception: it comes packed with more than a thousand papers on topics ranging from ML theory, Rei
Top 5 Machine learning models 2021
Photo by Pawel Czerwinski on UnsplashThis year has been full of a lot of great models. In this article, my hope is to highlight 10 of the most noteworthy models. I have been regularly reviewing papers and explaining them over this year and I think I have quite a few good mentions. Disclaimer: There might be other good models not mentioned here and I am not claiming to be the ultimate expert when i
MLOps — Ruling Fundamentals and few Practical Use Cases
Image by AuthorBefore I jump on to the Practical Use Cases of MLOps directly, let me pen down some foundations of MLOps. Why MLOps emerged? Engineers and Researchers across the globe were developing many high-level models by combining machine learning and artificial intelligence knowledge and techniques but deploying these models and attaining maximum benefit out of them at large scale were becomi
Will Transformers Replace CNNs in Computer Vision?
This article is about most probably the next generation of neural networks for all computer vision applications: The transformer architecture. You’ve certainly already heard about this architecture in the field of natural language processing, or NLP, mainly with GPT3 that made a lot of noise in 2020. Transformers can be used as a general-purpose backbone for many different applications and not onl
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MLCoPilot: Empowering Large Language Models with Human Intelligence for ML Problem Solving
BatchNorm for Transfer Learning