20 citations · 21 across the 2 of their papers we have counts for
5 papers
Fine-Grained Zero-Shot Learning with DNA as Side Information
Sarkhan Badirli, Zeynep Akata, George Mohler +2
Fine-grained zero-shot learning task requires some form of side-information to transfer discriminative information from seen to unseen classes. As manually annotated visual attribu…
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli, Xuanqing Liu, Zhengming Xing +3
A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework…
Open Set Authorship Attribution toward Demystifying Victorian Periodicals
Sarkhan Badirli, Mary Borgo Ton, Abdulmecit Gungor +1
Existing research in computational authorship attribution (AA) has primarily focused on attribution tasks with a limited number of authors in a closed-set configuration. This restr…
Bayesian Zero-Shot Learning
Sarkhan Badirli, Zeynep Akata, Murat Dundar
Object classes that surround us have a natural tendency to emerge at varying levels of abstraction. We propose a Bayesian approach to zero-shot learning (ZSL) that introduces the n…
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data
Kathryn Gray, Daniel Smolyak, Sarkhan Badirli +1
Detecting anomalous activity in human mobility data has a number of applications including road hazard sensing, telematic based insurance, and fraud detection in taxi services and…