117 citations · 138 across the 6 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.IV2019★ 1 cited
Detecting Invasive Ductal Carcinoma with Semi-Supervised Conditional GANs
Jeremiah W. Johnson
Invasive ductal carcinoma (IDC) comprises nearly 80% of all breast cancers. The detection of IDC is a necessary preprocessing step in determining the aggressiveness of the cancer,…
cs.CV2019★ 5 cited
Structured Prediction using cGANs with Fusion Discriminator
Faisal Mahmood, Wenhao Xu, Nicholas J. Durr +2
We propose the fusion discriminator, a single unified framework for incorporating conditional information into a generative adversarial network (GAN) for a variety of distinct stru…
cs.LG2019★ 2 cited
Subspace Match Probably Does Not Accurately Assess the Similarity of Learned Representations
Jeremiah Johnson
Learning informative representations of data is one of the primary goals of deep learning, but there is still little understanding as to what representations a neural network actua…