activity
20192024
most citedAutomated Machine Learning: State-of-The-Art and Open Challenges

152 citations · 155 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024

Simply Trainable Nearest Neighbour Machine Translation with GPU Inference

Hossam Amer, Abdelrahman Abouelenin, Mohamed Maher +3

Nearest neighbor machine translation is a successful approach for fast domain adaption, which interpolates the pre-trained transformers with domain-specific token-level k-nearest-n…

cs.CL2022

Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation

Muhammad ElNokrashy, Amr Hendy, Mohamed Maher +2

This paper proposes a simple yet effective method to improve direct (X-to-Y) translation for both cases: zero-shot and when direct data is available. We modify the input tokens at…

cs.LG2022★ 1 cited

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

Hassan Eldeeb, Mohamed Maher, Radwa Elshawi +1

With the booming demand for machine learning applications, it has been recognized that the number of knowledgeable data scientists can not scale with the growing data volumes and a…

cs.LG2021

Instance-based Label Smoothing For Better Calibrated Classification Networks

Mohamed Maher, Meelis Kull

Label smoothing is widely used in deep neural networks for multi-class classification. While it enhances model generalization and reduces overconfidence by aiming to lower the prob…

cs.IR2020★ 2 cited

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce

Mohamed Maher, Perseverance Munga Ngoy, Aleksandrs Rebriks +4

Boosting sales of e-commerce services is guaranteed once users find more matching items to their interests in a short time. Consequently, recommendation systems have become a cruci…

cs.LG2019★ 152 cited

Automated Machine Learning: State-of-The-Art and Open Challenges

Radwa Elshawi, Mohamed Maher, Sherif Sakr

With the continuous and vast increase in the amount of data in our digital world, it has been acknowledged that the number of knowledgeable data scientists can not scale to address…