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CNLL: A Semi-supervised Approach For Continual Noisy Label Learning



Nazmul Karim , Umar Khalid , Ashkan Esmaeili , Nazanin Rahnavard

* To Appear in IEEE CVPR 2022 Workshop on Continual Learning in Vision. arXiv admin note: text overlap with arXiv:2110.07735 by other authors 

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Detect-and-describe: Joint learning framework for detection and description of objects



Addel Zafar , Umar Khalid


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RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection



Umar Khalid , Ashkan Esmaeili , Nazmul Karim , Nazanin Rahnavard

* Accepted in CVPR Art of Robustness Workshop Proceedings 

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RF Signal Transformation and Classification using Deep Neural Networks



Umar Khalid , Nazmul Karim , Nazanin Rahnavard

* Accepted in SPIE conference: Big Data IV: Learning, Analytics, and Applications 

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Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning



Nazmul Karim , Umar Khalid , Nick Meeker , Sarinda Samarasinghe


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Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection



Ashkan Esmaeili , Mohsen Joneidi , Mehrdad Salimitari , Umar Khalid , Nazanin Rahnavard


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