no code implementations • 19 Jul 2022 • Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani Ioannou, Graham W. Taylor
Estimating the Generalization Error (GE) of Deep Neural Networks (DNNs) is an important task that often relies on availability of held-out data.
no code implementations • 19 Nov 2022 • Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel Oliveira
This commonly encountered operational context calls for principled techniques for training ML models with the option to abstain from predicting when uncertain.
no code implementations • 30 Aug 2023 • Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin Elsayed, Mohamed Elhoseiny
We introduce Affective Visual Dialog, an emotion explanation and reasoning task as a testbed for research on understanding the formation of emotions in visually grounded conversations.
no code implementations • 1 Mar 2024 • Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie
Large language models (LLMs) are typically trained on general source data for various domains, but a recent surge in domain-specific LLMs has shown their potential to outperform general-purpose models in domain-specific tasks (e. g., biomedicine).
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