research
∙
05/17/2023
Sharpness Shift-Aware Self-Supervised Learning
Self-supervised learning aims to extract meaningful features from unlabe...
share
research
∙
12/05/2022
Multiple Perturbation Attack: Attack Pixelwise Under Different ℓ_p-norms For Better Adversarial Performance
Adversarial machine learning has been both a major concern and a hot top...
research
∙
11/24/2022
Improving Multi-task Learning via Seeking Task-based Flat Regions
Multi-Task Learning (MTL) is a widely-used and powerful learning paradig...
research
∙
09/27/2021
ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs
The overwhelming abundance of data has created a misinformation crisis. ...
research
∙
02/24/2021
Efficient Low-Latency Dynamic Licensing for Deep Neural Network Deployment on Edge Devices
Along with the rapid development in the field of artificial intelligence...
research
∙
02/24/2021
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection
Natural language processing is a fast-growing field of artificial intell...
research
∙
02/24/2021
Interpreting the Latent Space of Generative Adversarial Networks using Supervised Learning
With great progress in the development of Generative Adversarial Network...
research
∙
02/24/2021
Efficient Palm-Line Segmentation with U-Net Context Fusion Module
Many cultures around the world believe that palm reading can be used to ...
research
∙
02/24/2021
Deep Learning Approach for Singer Voice Classification of Vietnamese Popular Music
Singer voice classification is a meaningful task in the digital era. Wit...
research
∙
02/18/2021
