Search Results for author: Irfan Ahmad

Found 6 papers, 1 papers with code

Dotless Representation of Arabic Text: Analysis and Modeling

no code implementations26 Dec 2023 Maged S. Al-shaibani, Irfan Ahmad

To delve deeper into the implications of the dotless representation, statistical and neural language models are constructed using the various text corpora and tokenization techniques.

FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation

no code implementations22 Mar 2022 Ahmad Shawahna, Sadiq M. Sait, Aiman El-Maleh, Irfan Ahmad

Deep neural networks (DNNs) have demonstrated their effectiveness in a wide range of computer vision tasks, with the state-of-the-art results obtained through complex and deep structures that require intensive computation and memory.


Evaluating Various Tokenizers for Arabic Text Classification

1 code implementation14 Jun 2021 Zaid Alyafeai, Maged S. Al-shaibani, Mustafa Ghaleb, Irfan Ahmad

However, given a large text corpus, representing all the words is not efficient in terms of vocabulary size.

News Classification Sentiment Analysis +2

Knowledge Distillation in Deep Learning and its Applications

no code implementations17 Jul 2020 Abdolmaged Alkhulaifi, Fahad Alsahli, Irfan Ahmad

In this paper, we present a survey of knowledge distillation techniques applied to deep learning models.

Knowledge Distillation

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