Self-Supervised Learning Vs Semi-Supervised Learning: How They Differ

Self-Supervised Learning Vs Semi-Supervised Learning: How They Differ

The two most popular hybrid machine learning techniques are--self-supervised learning and semi-supervised learning.

When you think of machine learning models, two techniques come to mind immediately — supervised learning and unsupervised learning. The main difference between the two approaches is the labelled data– supervised learning has it, and the other don’t.

Both approaches have their shortcomings. Over time, scientists have introduced several techniques that offer the best of both. The two most popular ones are–self-supervised learning and semi-supervised learning. 

Both techniques adopt a hybrid approach. That said, both are distinct.

Self-supervised learning

In the case of supervised learning, the AI systems are fed with labelled data. But as we work with bigger models, it becomes difficult to label all the data. Additionally, there is just not enough labelled data for a few tasks, such as training translation systems for low-resource languages. 

In a 2020 AAAI conference, Facebook’s chief AI scientist Yann LeCun introduced self-supervised learning to overcome these challenges. This technique obtains a supervisory signal from the data by leveraging the underlying structure. The general method for self-supervised learning is to predict unobserved or hidden part of the input. For example, in NLP, the words of a line are predicted using the remaining words in the sentence. Since self-supervised learning uses the data structure to learn, it can use various supervisory signals across large datasets without relying on labels.

A self-supervised learning system aims at creating a data-efficient artificial intelligent system. It is generally referred to as extension or even improvement over unsupervised learning methods. However, as opposed to unsupervised learning, self-supervised learning does not focus on clustering and grouping.

developers corner labelled data machine learning models

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Hire Machine Learning Developers in India

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

Hire Machine Learning Engineer | Offshore Machine Learning Experts

We are a Machine Learning Services provider offering custom AI solutions, Machine Learning as a service & deep learning solutions. Hire Machine Learning experts & build AI Chatbots, Neural networks, etc. 16+ yrs & 2500+ clients.

Hire Machine Learning Developer | Hire ML Experts in India

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

Applications of machine learning in different industry domains

We supply you with world class machine learning experts / ML Developers with years of domain experience who can add more value to your business.

Step-by-Step Building Block For Machine Learning Models

Step-by-Step Building Block For Machine Learning Models. Step-by-Step Building Block For Machine Learning Models How to develope a machine model, what are the steps in developing.