7 citations · 11 across the 4 of their papers we have counts for
5 papers
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach
Kai Zhen, Martin Radfar, Hieu Duy Nguyen +3
For on-device automatic speech recognition (ASR), quantization aware training (QAT) is ubiquitous to achieve the trade-off between model predictive performance and efficiency. Amon…
VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?
Hieu Nguyen, Long Phan, James Anibal +2
Text summarization is a challenging task within natural language processing that involves text generation from lengthy input sequences. While this task has been widely studied in E…
Optimal N-ary ECOC Matrices for Ensemble Classification
Hieu D. Nguyen, Lucas J. Lavalva, Shen-Shyang Ho +2
A new recursive construction of -ary error-correcting output code (ECOC) matrices for ensemble classification methods is presented, generalizing the classic doubling constructio…
Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds
Hieu D. Nguyen, Mohammed Sarosh Khan, Nicholas Kaegi +4
New bounds on classification error rates for the error-correcting output code (ECOC) approach in machine learning are presented. These bounds have exponential decay complexity with…
CoTexT: Multi-task Learning with Code-Text Transformer
Long Phan, Hieu Tran, Daniel Le +4
We present CoTexT, a pre-trained, transformer-based encoder-decoder model that learns the representative context between natural language (NL) and programming language (PL). Using…