no code implementations • 14 Feb 2024 • Mohamed Abdelsalam, Loai Ali, Saddek Bensalem, WeiCheng He, Panagiotis Katsaros, Nikolaos Kekatos, Doron Peled, Anastasios Temperekidis, Changshun Wu
In this paper, we present a novel digital twin prototype for a learning-enabled self-driving vehicle.
no code implementations • 10 Jul 2022 • Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Janarthanan, Sarath Chandar
Following these different classes of learning algorithms, we discuss the commonly used evaluation benchmarks and metrics for lifelong learning (Chapter 6) and wrap up with a discussion of future challenges and important research directions in Chapter 7.
no code implementations • 23 Mar 2022 • Omar Alfarisi, Zeyar Aung, Qingfeng Huang, Ashraf Al-Khateeb, Hamed Alhashmi, Mohamed Abdelsalam, Salem Alzaabi, Haifa Alyazeedi, Anthony Tzes
Planetary exploration depends heavily on 3D image data to characterize the static and dynamic properties of the rock and environment.
1 code implementation • SIGDIAL (ACL) 2021 • Prasanna Parthasarathi, Mohamed Abdelsalam, Joelle Pineau, Sarath Chandar
Neural models trained for next utterance generation in dialogue task learn to mimic the n-gram sequences in the training set with training objectives like negative log-likelihood (NLL) or cross-entropy.
1 code implementation • CVPR 2021 • Mohamed Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar
We develop a standardized benchmark that enables evaluating models on the IIRC setup.