84 citations · 100 across the 9 of their papers we have counts for
6 papers · 1 filter
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
Minghao Shao, Abdul Basit, Ramesh Karri +1
Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. Thes…
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL) underscores the critical need for a paradigm shift…
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
Neha A S, Vivek Chaturvedi, Muhammad Shafique
Vision Transformer (ViT) is becoming widely popular in automating accurate disease diagnosis in medical imaging owing to its robust self-attention mechanism. However, ViTs remain v…
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling
Alireza Senobari, Jafar Vafaei, Omid Akbari +2
Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by the structure and function of the human brain, designed to process and learn from larg…
A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems
Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique
Reliability management is one of the primary concerns in manycore systems design. Different aging mechanisms such as Negative-Bias Temperature Instability (NBTI), Electromigration…
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object…