2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Integrated Weak Learning
Peter Hayes, Mingtian Zhang, Raza Habib +3
We introduce Integrated Weak Learning, a principled framework that integrates weak supervision into the training process of machine learning models. Our approach jointly trains the…
cs.LG2021★ 1 cited
Sample Efficient Model Evaluation
Emine Yilmaz, Peter Hayes, Raza Habib +2
Labelling data is a major practical bottleneck in training and testing classifiers. Given a collection of unlabelled data points, we address how to select which subset to label to…
stat.ML2017★ 2 cited
One-Shot Learning in Discriminative Neural Networks
Jordan Burgess, James Robert Lloyd, Zoubin Ghahramani
We consider the task of one-shot learning of visual categories. In this paper we explore a Bayesian procedure for updating a pretrained convnet to classify a novel image category f…