Grigoris

Grigoris

Blog posts

2023

Navigating the ChatGPT Era: A Guide for MSc Students and Researchers in ML Paper Writing

1 minute read

Published:

In the landscape of modern Machine Learning, Large Language Models (LLMs) have risen to prominence, capturing the attention of both the public and researchers alike. These versatile tools, like ChatGPT, hold great promise for enhancing your paper-writing journey. However, a word of caution: always ensure compliance with conference guidelines regarding their use. Below, we unveil the art of leveraging LLMs for research while maintaining a professional and impactful approach:

2021

2019

Large scale video database for human faces

less than 1 minute read

Published:

As part of our latest research work, we have collected and processed one large database, coined 2MF^2. Our dataset includes over 19 million frames of human faces (over 11 thousand videos in total).

2017

Review on online VAE tutorials

4 minute read

Published:

Instead of creating another tutorial about Variational Autoencoders (VAE), I will share my experience on the parts that introduced me to the topic.

2016

Simple classifier is-face or not

1 minute read

Published:

This post is devoted to constructing a simple binary classifier from scratch. A classifier is a tool that enables the algorithm to categorise different objects in their respective ‘class’. A binary classifier is a classifier with two categories, e.g. is this animal cat or dog?

Links for the history of Machine Learning

2 minute read

Published:

While preparing for a seminar of the EESTech Challenge (official site, EESTEC news), it required a while to find some reliable sources for the history of Machine Learning. Even though Machine Learning has become a buzzword recently, there are surprisingly scarce material on its history, so I will share these references here accompanied with few comments.