no code implementations • 18 Dec 2023 • Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan
Unfair predictions of machine learning (ML) models impede their broad acceptance in real-world settings.
no code implementations • 26 Sep 2023 • Kemal Oksuz, Selim Kuzucu, Tom Joy, Puneet K. Dokania
Combining the strengths of many existing predictors to obtain a Mixture of Experts which is superior to its individual components is an effective way to improve the performance without having to develop new architectures or train a model from scratch.
Ranked #1 on Oriented Object Detection on DOTA 1.0
1 code implementation • 19 Nov 2022 • Siyang Song, Yuxin Song, Cheng Luo, Zhiyuan Song, Selim Kuzucu, Xi Jia, Zhijiang Guo, Weicheng Xie, Linlin Shen, Hatice Gunes
Our framework is effective, robust and flexible, and is a plug-and-play module that can be combined with different backbones and Graph Neural Networks (GNNs) to generate a task-specific graph representation from various graph and non-graph data.