Cameron R. Wolfe
Undergraduate Student
Cameron Wolfe is an Undergraduate Computer Science student at the University of Texas and researcher in the Neural Networks Research Group. His research interests include evolutionary optimization for 3D-printing, embedding learning with deep neural networks, and joint deep learning with vision and text. His recent research involves improving the creation of embedding representations for both image and text data with the use of transfer learning and finding ways to improve generalization performance of deep learning models with limited training data. Recently, Cameron completed his undergraduate honors thesis, which explored new forms of data augmentation that are applicable to embedding inputs to neural networks, supervised by Dr. Cem Tutum and Dr. Risto Miikkulainen.
Data Augmentation for Deep Transfer Learning Cameron R. Wolfe and Keld T. Lundgaard , December 2019. 2019

Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019),... 2019