13 citations · 29 across the 11 of their papers we have counts for
7 papers · 1 filter
XEns-CKD: An Explainable Ensemble-Based Approach for Chronic Kidney Disease Stage Detection
Rehan Ahmad, Gousia Habib, Muhammad Shaban +1
Chronic kidney disease (CKD) is a silent disease. Its progression may not significantly hamper a person's daily routine. Human kidney function can be classified as normal or as one…
Optimizing Vision Transformers with Data-Free Knowledge Transfer
Gousia Habib, Damandeep Singh, Ishfaq Ahmad Malik +1
The groundbreaking performance of transformers in Natural Language Processing (NLP) tasks has led to their replacement of traditional Convolutional Neural Networks (CNNs), owing to…
Harnessing The Power of Attention For Patch-Based Biomedical Image Classification
Gousia Habib, Shaima Qureshi, Malik ishfaq
Biomedical image analysis is of paramount importance for the advancement of healthcare and medical research. Although conventional convolutional neural networks (CNNs) are frequent…
Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
Gousia Habib, Ishfaq Ahmed Malik, Jameel Ahmad +2
Batch Normalization is an important approach to advancing deep learning since it allows multiple networks to train simultaneously. A problem arises when normalizing along the batch…
A Comprehensive Review of Knowledge Distillation in Computer Vision
Gousia Habib, Tausifa jan Saleem, Sheikh Musa Kaleem +2
Deep learning techniques have been demonstrated to surpass preceding cutting-edge machine learning techniques in recent years, with computer vision being one of the most prominent…
LIB-KD: Teaching Inductive Bias for Efficient Vision Transformer Distillation and Compression
Gousia Habib, Tausifa Jan Saleem, Ishfaq Ahmad Malik +1
With the rapid development of computer vision, Vision Transformers (ViTs) offer the tantalising prospect of unified information processing across visual and textual domains due to…
Knowledge Distillation in Vision Transformers: A Critical Review
Gousia Habib, Tausifa Jan Saleem, Brejesh Lall
In Natural Language Processing (NLP), Transformers have already revolutionized the field by utilizing an attention-based encoder-decoder model. Recently, some pioneering works have…