Top 10 Self-supervised Learning Models in 2022
Just like reinforcement learning, self-supervised or unsupervised learning also witnessed various new models in 2022. Here are a few of them
Is Reinforcement Learning Still Relevant?
While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
Yann LeCun’s Version of Autonomous Machine Intelligence
Giving the ability to machines to learn, reason, and plan without being trained or rewarded for failing or succeeding at a task is the ideal future of AI
All you need to know about Graph Contrastive Learning
The Graph Contrastive Learning aims to learn the graph representation with the help of contrastive learning.
Is the future of AI supervised?
As per Gartner, supervised learning will continue to be the most popular type of machine learning in 2022.
What to expect from Meta’s ‘Inside the lab’ event?
Meta is coming up with their first conference detailing their progress of the metaverse after the major rebranding from Facebook. The virtual event ‘Inside the lab: Building for the metaverse with AI’ will be held on February 23 at 10:30 PM (IST) and have speakers across the AI board. The opening and closing notes will […]
A guide to self-supervised learning with graph data
graph structure has much additional information with them like node attributes, and label information of nodes. Using this source of information, we can have unprecedented opportunities to design advanced level self-supervised pretext tasks
A Beginner’s Guide to Self-Supervised Classification
in the self supervised learning process we are mainly focused about making the data workable to the downstream algorithms. but when using the self-supervised learning we make the data specifically for classification we can say the process is self-supervised classification.
Big Tech & Their Favourite Deep Learning Techniques
For instance, Facebook AI Research (FAIR) has been championing self-supervised learning (SSL) for quite some time.
How Good Is Self-Supervised Learning For Anomaly Detection
Anomaly detection is used to detect fraud and identify intrusions, and figure ecosystem disturbances.
Facebook Researcher’s New Algorithm Ushers New Paradigm Of Image Recognition
VICReg combines the variance term with a decorrelation mechanism based on redundancy reduction and covariance regularisation.
Sound Pitch Recognition Using SPICE
Article is about Pitch Recognition, aka Pitch Estimation.
