Reinforcement Learning Approach to Active Learning for Image Classification

08/12/2021
by   Thorben Werner, et al.
0

Machine Learning requires large amounts of labeled data to fit a model. Many datasets are already publicly available, nevertheless forcing application possibilities of machine learning to the domains of those public datasets. The ever-growing penetration of machine learning algorithms in new application areas requires solutions for the need for data in those new domains. This thesis works on active learning as one possible solution to reduce the amount of data that needs to be processed by hand, by processing only those datapoints that specifically benefit the training of a strong model for the task. A newly proposed framework for framing the active learning workflow as a reinforcement learning problem is adapted for image classification and a series of three experiments is conducted. Each experiment is evaluated and potential issues with the approach are outlined. Each following experiment then proposes improvements to the framework and evaluates their impact. After the last experiment, a final conclusion is drawn, unfortunately rejecting this work's hypothesis and outlining that the proposed framework at the moment is not capable of improving active learning for image classification with a trained reinforcement learning agent.

READ FULL TEXT

page 22

page 42

research
06/20/2022

Deep reinforced active learning for multi-class image classification

High accuracy medical image classification can be limited by the costs o...
research
12/09/2022

Frugal Reinforcement-based Active Learning

Most of the existing learning models, particularly deep neural networks,...
research
01/23/2021

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

Safe learning and optimization deals with learning and optimization prob...
research
10/16/2020

Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification

The image classification machine learning model was trained with the int...
research
01/11/2022

Active Reinforcement Learning – A Roadmap Towards Curious Classifier Systems for Self-Adaptation

Intelligent systems have the ability to improve their behaviour over tim...
research
03/28/2023

Automated wildlife image classification: An active learning tool for ecological applications

Wildlife camera trap images are being used extensively to investigate an...

Please sign up or login with your details

Forgot password? Click here to reset