Pruning has emerged as a powerful technique for compressing deep neural
...
Image distortion by atmospheric turbulence is a stochastic degradation, ...
Whole-body biometric recognition is an important area of research due to...
Graphs are omnipresent and GNNs are a powerful family of neural networks...
Large pre-trained transformers have been receiving explosive attention i...
Large pre-trained transformers are show-stealer in modern-day deep learn...
Large pre-trained language models (LLMs) have been shown to have signifi...
Sparse Neural Networks (SNNs) have received voluminous attention
predomi...
Despite their remarkable achievement, gigantic transformers encounter
si...
Deep neural networks (DNNs) have rapidly become a de facto choice
for me...
AI-powered Medical Imaging has recently achieved enormous attention due ...
Despite the enormous success of Graph Convolutional Networks (GCNs) in
m...
Image restoration algorithms for atmospheric turbulence are known to be ...
Incorporating fresh members in teams is considered a pathway to team
cre...
Radiology reports are unstructured and contain the imaging findings and
...
Computer-aided diagnosis plays a salient role in more accessible and acc...
Chest X-rays become one of the most common medical diagnoses due to its
...
This paper describes our system (Solomon) details and results of
partici...
This paper explores an interesting new dimension to the challenging prob...