no code implementations • 23 Mar 2021 • Alla Abdella, Jeffrey K. Brecht, Ismail Uysal
This article describes location aware temperature profiles from six strawberry shipments across the continental United States.
no code implementations • ICLR 2018 • Ozsel Kilinc, Ismail Uysal
In this paper, we propose a novel unsupervised clustering approach exploiting the hidden information that is indirectly introduced through a pseudo classification objective.
Ranked #1 on Unsupervised Image Classification on SVHN (using extra training data)
no code implementations • 19 May 2017 • Ozsel Kilinc, Ismail Uysal
Adjacency of the examples is inferred using the predictions of a neural network model which is first initialized by a supervised pretraining.
no code implementations • 1 Apr 2017 • Ozsel Kilinc, Ismail Uysal
We introduce a novel validation framework to measure the true robustness of learning models for real-world applications by creating source-inclusive and source-exclusive partitions in a dataset via clustering.
no code implementations • 28 Feb 2017 • Ozsel Kilinc, Ismail Uysal
As the proposed output layer modification duplicates the softmax nodes at the output layer for each class, GAR allows for competitive learning between these duplicates on a traditional error-correction learning framework to ultimately enable a neural network to learn the latent annotations in this partially supervised setup.