57 citations · 125 across the 18 of their papers we have counts for
5 papers · 1 filter
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks
Jamal Toutouh, Erik Hemberg, Una-May O'Reilly
Generative adversary networks (GANs) suffer from training pathologies such as instability and mode collapse, which mainly arise from a lack of diversity in their adversarial intera…
Data Dieting in GAN Training
Jamal Toutouh, Una-May O'Reilly, Erik Hemberg
We investigate training Generative Adversarial Networks, GANs, with less data. Subsets of the training dataset can express empirical sample diversity while reducing training resour…
Transfer Learning using Representation Learning in Massive Open Online Courses
Mucong Ding, Yanbang Wang, Erik Hemberg +1
In a Massive Open Online Course (MOOC), predictive models of student behavior can support multiple aspects of learning, including instructor feedback and timely intervention. Ongoi…
On Visual Hallmarks of Robustness to Adversarial Malware
Alex Huang, Abdullah Al-Dujaili, Erik Hemberg +1
A central challenge of adversarial learning is to interpret the resulting hardened model. In this contribution, we ask how robust generalization can be visually discerned and wheth…
Distributed Stratified Locality Sensitive Hashing for Critical Event Prediction in the Cloud
Alessandro De Palma, Erik Hemberg, Una-May O'Reilly
The availability of massive healthcare data repositories calls for efficient tools for data-driven medicine. We introduce a distributed system for Stratified Locality Sensitive Has…