15 citations · 19 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 4 cited
Semi-Supervised Learning with the Deep Rendering Mixture Model
Tan Nguyen, Wanjia Liu, Ethan Perez +2
Semi-supervised learning algorithms reduce the high cost of acquiring labeled training data by using both labeled and unlabeled data during learning. Deep Convolutional Networks (D…
stat.ML2016★ 15 cited
A Probabilistic Framework for Deep Learning
Ankit B. Patel, Tan Nguyen, Richard G. Baraniuk
We develop a probabilistic framework for deep learning based on the Deep Rendering Mixture Model (DRMM), a new generative probabilistic model that explicitly capture variations in…