Steven Gutstein

12 papers A* 1B 4C 2Misc 3Journal 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?
CoRR
Steven Gutstein, Brent Lance, Sanjay Shakkottai
2019 A* conf
Pareto Optimal Streaming Unsupervised Classification.
ICML
Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai
2017 C conf
On the Impacts of Noise from Group-Based Label Collection for Visual Classification.
ICMLA
Maggie B. Wigness, Steven Gutstein
2017 B conf
The effects of output codes on transfer learning in a deep convolutional neural net.
IJCNN
Steven Gutstein, Ethan Stump
2015 B conf
Reduction of catastrophic forgetting with transfer learning and ternary output codes.
IJCNN
Steven Gutstein, Ethan Stump
2011 B conf
Latent learning - What your net also learned.
IJCNN
Steven Gutstein, Olac Fuentes, Eric Freudenthal
2011 C conf
Work in progress - The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation.
FIE
Steven Gutstein, Eric Freudenthal, Ali Jamal-Kamali, Vladik Kreinovich, David Morgenthaler
2010 B conf
Latent learning in deep neural nets.
IJCNN
Steven Gutstein, Olac Fuentes, Eric Freudenthal
2009 Misc conf
Training to a Neural Net's Inherent Bias.
FLAIRS
Steven Gutstein, Olac Fuentes, Eric Freudenthal
2008 J jnl
Knowledge Transfer in Deep convolutional Neural Nets.
Int. J. Artif. Intell. Tools
Steven Gutstein, Olac Fuentes, Eric Freudenthal
2008 Misc conf
The Utility of Knowledge Transfer for Noisy Data.
FLAIRS
Steven Gutstein, Olac Fuentes, Eric Freudenthal
2007 Misc conf
Knowledge Transfer in Deep Convolutional Neural Nets.
FLAIRS
Steven Gutstein, Olac Fuentes, Eric Freudenthal