16 citations · 42 across the 20 of their papers we have counts for
27 papers
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard +2
Supervised deep learning methods require a large repository of annotated data; hence, label noise is inevitable. Training with such noisy data negatively impacts the generalization…
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning
Nazmul Karim, Umar Khalid, Ashkan Esmaeili +1
The task of continual learning requires careful design of algorithms that can tackle catastrophic forgetting. However, the noisy label, which is inevitable in a real-world scenario…
CoDGraD: A Code-based Distributed Gradient Descent Scheme for Decentralized Convex Optimization
Elie Atallah, Nazanin Rahnavard, Qiyu Sun
In this paper, we consider a large network containing many regions such that each region is equipped with a worker with some data processing and communication capability. For such…
RF Signal Transformation and Classification using Deep Neural Networks
Umar Khalid, Nazmul Karim, Nazanin Rahnavard
Deep neural networks (DNNs) designed for computer vision and natural language processing tasks cannot be directly applied to the radio frequency (RF) datasets. To address this chal…
Straggler-Robust Distributed Optimization in Parameter-Server Networks
Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha
Optimization in distributed networks plays a central role in almost all distributed machine learning problems. In principle, the use of distributed task allocation has reduced the…
Spectrum Shaping For Multiple Link Discovery in 6G THz Systems
Farzam Hejazi, Katarina Vuckovic, Nazanin Rahnavard
This paper presents a novel antenna configuration to measure directions of multiple signal sources at the receiver in a THz mobile network via a single channel measurement. Directi…