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Found 6 papers, 1 papers with code
Arabic Compact Language Modelling for Resource Limited Devices
Natural language modelling has gained a lot of interest recently.
Dotless Representation of Arabic Text: Analysis and Modeling
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
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
However, given a large text corpus, representing all the words is not efficient in terms of vocabulary size.
Knowledge Distillation in Deep Learning and its Applications
In this paper, we present a survey of knowledge distillation techniques applied to deep learning models.
A Survey on Transfer Learning in Natural Language Processing
The demand for transfer learning is increasing as many large models are emerging.
