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