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Multi-task learning in Machine Learning

Towards Data Science

In most machine learning contexts, we are concerned with solving a single task at a time. Regardless of what that task is, the problem is typically framed as using data to solve a single task or…

Optimizing Multi-task Learning Models in Practice

Towards Data Science

Why Multi-task learning Multi-task learning Multi-task learning (MTL) [1] is a field in machine learning in which we utilize a single model to learn multiple tasks simultaneously. Multi-task learning ...

A Primer on Multi-task Learning — Part 3

Analytics Vidhya

Towards building a “Generalist” model. “A Primer on Multi-task Learning — Part 3” is published by Neeraj Varshney in Analytics Vidhya.

A Primer on Multi-task Learning — Part 2

Analytics Vidhya

Towards building a “Generalist” model. “A Primer on Multi-task Learning — Part 2” is published by Neeraj Varshney in Analytics Vidhya.

Multitask Classification

Codecademy

In Sklearn, multitask classification is a machine learning technique where a single model is trained to predict multiple related outputs (tasks) for each input data point. Instead of building separate...

A Primer on Multi-task Learning — Part 1

Analytics Vidhya

Multi-task Learning (MTL) is a collection of techniques intended to learn multiple tasks simultaneously instead of learning them separately. The motivation behind MTL is to create a “Generalist”…

Multi-task Learning: All You Need to Know(Part-1)

Python in Plain English

Figure: Framework of Multi-task learning Multi-task learning is becoming incredibly popular. This article provides an overview of the current state of multi-task learning. It discusses the extensive m...

Multitask learning: teach your AI more to make it better

Towards Data Science

Hi everyone! Today I want to tell you about the topic in machine learning that is, on one hand, very research oriented and supposed to bring machine learning algorithms to more human-like reasoning…

Multi-task learning in Computer Vision: Image classification

Analytics Vidhya

Ever faced an issue where you had to create a lot of deep learning models because of the requirements you have, worry no more as multi-task learning is here. Multi-task learning can be of great help…

Multi-Task Machine Learning: Solving Multiple Problems Simultaneously

Towards Data Science

Some supervised, some unsupervised, some self-supervised, in NLP and computer vision Continue reading on Towards Data Science

Norms, Penalties, and Multitask learning

Towards Data Science

A regularizer is commonly used in machine learning to constrain a model’s capacity to cerain bounds either based on a statistical norm or on prior hypotheses. This adds preference for one solution…

Multi-Task Learning for Classification with Keras

Towards Data Science

Learn how to build a model capable of performing multiple image classifications concurrently with Multiple-Task Learning Photo by Markus Winkler on Unsplash Multi-task learning (MLT) is a subfield of...