4 papers
From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming
Quan Minh Phan, Ngoc Hoang Luong
Estimating the network performance using zero-cost (ZC) metrics has proven both its efficiency and efficacy in Neural Architecture Search (NAS). However, a notable limitation of mo…
Efficient Multi-Objective Neural Architecture Search via Pareto Dominance-based Novelty Search
An Vo, Ngoc Hoang Luong
Neural Architecture Search (NAS) aims to automate the discovery of high-performing deep neural network architectures. Traditional objective-based NAS approaches typically optimize…
Efficacy of Neural Prediction-Based Zero-Shot NAS
Minh Le, Nhan Nguyen, Ngoc Hoang Luong
In prediction-based Neural Architecture Search (NAS), performance indicators derived from graph convolutional networks have shown remarkable success. These indicators, achieved by…
Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews
Quoc Thai Nguyen, Thoai Linh Nguyen, Ngoc Hoang Luong +1
Sentiment analysis is an important task in the field ofNature Language Processing (NLP), in which users' feedbackdata on a specific issue are evaluated and analyzed. Manydeep learn…