meta learning

Alchemy
Hands-on Alchemy: A Structured Task Distribution for Meta-Reinforcement Learning

This post is in continuation with our previous article about Alchemy, the very first benchmark…

learn2learn
Guide To learn2learn: A Library For Meta-Learning Research

learn2learn is a software library designed for meta-learning research. It was introduced by Sebastien M.…

Workshop Alert! Hands-on Meta-Learning
Workshop Alert! Hands-on Meta-Learning

The Association of Data Scientists (AdaSci), the premier global professional body of data science and…

Meta Learning via leaned loss function ML3
What Is Meta-Learning via Learned Losses (with Python Code)

Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types:  First, methods…

Torchmeta - Meta Learning Library in PyTorch
Guide to Torchmeta- A Meta-Learning library for PyTorch

Torchmeta is an open-source meta-learning library built on top of Pytorch deep learning framework. The…

How Microsoft Set A New Benchmark To Track Fake News

Researchers from Microsoft, along with a team from Arizona State University, have published a work…

Catastrophic Forgetting in ML
Addressing Catastrophic Forgetting In ML With ANML & Meta-Learning

What is the one thing neural networks have been battling with over the years? Forgetting.…

Exciting AI Researches To Look Up To In 2020

The last decade has been exciting for artificial intelligence. It has gone from esoteric to…

How To Make Meta-learning More Effective

Meta-learning was introduced to make machine learning models to learn new skills and adapt to…

Artificial  Intelligence Brings Mona Lisa To Life Using GANs  

It is believed that Leonardo Da Vinci took more than a decade to paint a…

Why You Should Try Model Agnostic Solutions When The Data Is Vague

When it comes to performing few-shot learning tasks, deep neural nets fail to live up…