13 citations · 28 across the 5 of their papers we have counts for
5 papers
Adaptive Weight Assignment Scheme For Multi-task Learning
Aminul Huq, Mst Tasnim Pervin
Deep learning based models are used regularly in every applications nowadays. Generally we train a single model on a single task. However, we can train multiple tasks on a single m…
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems
Aminul Huq, Weiyi Zhang, Xiaolin Hu
Automatic speech recognition (ASR) systems based on deep neural networks are weak against adversarial perturbations. We propose mixPGD adversarial training method to improve the ro…
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder
Aminul Huq, Md Tanzim Reza, Shahriar Hossain +1
Class imbalance is a pervasive issue in the field of disease classification from medical images. It is necessary to balance out the class distribution while training a model for de…
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation
Mst. Tasnim Pervin, Linmi Tao, Aminul Huq +2
Segmentation is considered to be a very crucial task in medical image analysis. This task has been easier since deep learning models have taken over with its high performing behavi…
Adversarial Attacks and Defense on Texts: A Survey
Aminul Huq, Mst. Tasnim Pervin
Deep learning models have been used widely for various purposes in recent years in object recognition, self-driving cars, face recognition, speech recognition, sentiment analysis,…