Steven Gutstein

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 4

Top Topics

Unsupervised Classification

Transfer Learning

Counter Propagation

Top Venues

Publications

Steven Gutstein, Brent Lance, Sanjay Shakkottai
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? CoRR (2021)
Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai
Pareto Optimal Streaming Unsupervised Classification. ICML (2019)
Steven Gutstein, Ethan Stump
The effects of output codes on transfer learning in a deep convolutional neural net. IJCNN (2017)
Maggie B. Wigness, Steven Gutstein
On the Impacts of Noise from Group-Based Label Collection for Visual Classification. ICMLA (2017)
Steven Gutstein, Ethan Stump
Reduction of catastrophic forgetting with transfer learning and ternary output codes. IJCNN (2015)
Steven Gutstein, Eric Freudenthal, Ali Jamal-Kamali, Vladik Kreinovich, David Morgenthaler
Work in progress - The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation. FIE (2011)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
Latent learning - What your net also learned. IJCNN (2011)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
Latent learning in deep neural nets. IJCNN (2010)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
Training to a Neural Net's Inherent Bias. FLAIRS Conference (2009)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
Knowledge Transfer in Deep convolutional Neural Nets. Int. J. Artif. Intell. Tools 17 (3) (2008)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
The Utility of Knowledge Transfer for Noisy Data. FLAIRS Conference (2008)
Steven Gutstein, Olac Fuentes, Eric Freudenthal
Knowledge Transfer in Deep Convolutional Neural Nets. FLAIRS Conference (2007)