152 citations · 659 across the 17 of their papers we have counts for
4 papers · 1 filter
DermGAN: Synthetic Generation of Clinical Skin Images with Pathology
Amirata Ghorbani, Vivek Natarajan, David Coz +1
Despite the recent success in applying supervised deep learning to medical imaging tasks, the problem of obtaining large and diverse expert-annotated datasets required for the deve…
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data
Gal Yona, Amirata Ghorbani, James Zou
A learning algorithm trained on a dataset is revealed to have poor performance on some subpopulation at test time. Where should the responsibility for this lay? It can be a…
Data Shapley: Equitable Valuation of Data for Machine Learning
Amirata Ghorbani, James Zou
As data becomes the fuel driving technological and economic growth, a fundamental challenge is how to quantify the value of data in algorithmic predictions and decisions. For examp…
Towards Automatic Concept-based Explanations
Amirata Ghorbani, James Wexler, James Zou +1
Interpretability has become an important topic of research as more machine learning (ML) models are deployed and widely used to make important decisions. Most of the current explan…