Active Learning Using Uncertainty Information

02/27/2017
by   Yazhou Yang, et al.
0

Many active learning methods belong to the retraining-based approaches, which select one unlabeled instance, add it to the training set with its possible labels, retrain the classification model, and evaluate the criteria that we base our selection on. However, since the true label of the selected instance is unknown, these methods resort to calculating the average-case or worse-case performance with respect to the unknown label. In this paper, we propose a different method to solve this problem. In particular, our method aims to make use of the uncertainty information to enhance the performance of retraining-based models. We apply our method to two state-of-the-art algorithms and carry out extensive experiments on a wide variety of real-world datasets. The results clearly demonstrate the effectiveness of the proposed method and indicate it can reduce human labeling efforts in many real-life applications.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/14/2019

Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion

Multi-label learning draws great interests in many real world applicatio...
research
05/17/2018

Single Shot Active Learning using Pseudo Annotators

Standard myopic active learning assumes that human annotations are alway...
research
01/27/2023

ActiveLab: Active Learning with Re-Labeling by Multiple Annotators

In real-world data labeling applications, annotators often provide imper...
research
07/25/2023

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations

Supervised classification algorithms are used to solve a growing number ...
research
12/09/2022

Frugal Reinforcement-based Active Learning

Most of the existing learning models, particularly deep neural networks,...
research
07/31/2022

Deep Active Learning with Budget Annotation

Digital data collected over the decades and data currently being produce...
research
11/20/2019

Active Learning for Deep Detection Neural Networks

The cost of drawing object bounding boxes (i.e. labeling) for millions o...

Please sign up or login with your details

Forgot password? Click here to reset