5 citations · 6 across the 3 of their papers we have counts for
4 papers
Deep Active Learning Using Barlow Twins
Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada
The generalisation performance of a convolutional neural networks (CNN) is majorly predisposed by the quantity, quality, and diversity of the training images. All the training data…
Continual Learning with Deep Artificial Neurons
Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada
Neurons in real brains are enormously complex computational units. Among other things, they're responsible for transforming inbound electro-chemical vectors into outbound action po…
Deep Active Learning via Open Set Recognition
Jaya Krishna Mandivarapu, Blake Camp, Rolando Estrada
In many applications, data is easy to acquire but expensive and time-consuming to label prominent examples include medical imaging and NLP. This disparity has only grown in recent…
Self-Net: Lifelong Learning via Continual Self-Modeling
Blake Camp, Jaya Krishna Mandivarapu, Rolando Estrada
Learning a set of tasks over time, also known as continual learning (CL), is one of the most challenging problems in artificial intelligence. While recent approaches achieve some d…