1 citations · 1 across the 4 of their papers we have counts for
4 papers
Boosting Open Set Recognition Performance through Modulated Representation Learning
Amit Kumar Kundu, Vaishnavi S Patil, Joseph Jaja
The open set recognition (OSR) problem aims to identify test samples from novel semantic classes that are not part of the training classes, a task that is crucial in many practical…
Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI
Amit Kumar Kundu, Florence X. Doo, Vaishnavi Patil +2
Automated mammography screening plays an important role in early breast cancer detection. However, current machine learning models, developed on some training datasets, may exhibit…
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement
Vaishnavi Patil, Matthew Evanusa, Joseph JaJa
Generative modeling and self-supervised learning have in recent years made great strides towards learning from data in a completely unsupervised way. There is still however an open…
DOT-VAE: Disentangling One Factor at a Time
Vaishnavi Patil, Matthew Evanusa, Joseph JaJa
As we enter the era of machine learning characterized by an overabundance of data, discovery, organization, and interpretation of the data in an unsupervised manner becomes a criti…