2022
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Karim, Nazmul; Khalid, Umar; Esmaeili, Ashkan; Rahnavard, Nazanin CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Inproceedings In: Vision, IEEE Computer; (CVPRW'22), Pattern Recognition Workshops (Ed.): 2022. @inproceedings{nokey,
title = {CNLL: A Semi-supervised Approach For Continual Noisy Label Learning},
author = {Nazmul Karim and Umar Khalid and Ashkan Esmaeili and Nazanin Rahnavard},
editor = {IEEE Computer Vision and Pattern Recognition Workshops (CVPRW'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/08/2022_CVPRW_CNLL_A_Semi-Supervised_Approach_for_Continual_Noisy_Label_Learning_Nazmul-3.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/08/2022_CVPRW_CNLL_Nazmul_Poster-1.pdf},
year = {2022},
date = {2022-06-06},
urldate = {2022-06-06},
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Karim, Nazmul; Rizve, Mamshad Nayeem; Rahnavard, Nazanin; Mian, Ajmal; Shah, Mubarak UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Inproceedings In: on Computer Vision, IEEE Conference; (CVPR'22), Pattern Recognition (Ed.): 2022. @inproceedings{nokey,
title = {UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning},
author = {Nazmul Karim and Mamshad Nayeem Rizve and Nazanin Rahnavard and Ajmal Mian and Mubarak Shah},
editor = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_CVPR_UniCon_Nazmul-1.pdf
https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_CVPR_UniCon_Nazmul_supplimental.pdf
https://github.com/nazmul-karim170/UNICON-Noisy-Label},
year = {2022},
date = {2022-06-06},
urldate = {2022-06-06},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR'22)},
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Khalid, Umar; Esmaeili, Ashkan; Karim, Nazmul; Rahnavard, Nazanin RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Conference 2022. @conference{nokey,
title = {RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection},
author = {Umar Khalid and Ashkan Esmaeili and Nazmul Karim and Nazanin Rahnavard},
editor = {IEEE Computer Vision and Pattern Recognition Workshops (CVPRW'22)},
url = {https://lcwnlab.eecs.ucf.edu/wp-content/uploads/2022/04/2022_RODD_CVPRW_Umar.pdf},
year = {2022},
date = {2022-06-01},
urldate = {2022-06-01},
journal = {IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPR'22) },
keywords = {AI Security, Deep Learning, Deep Learning Theory},
pubstate = {published},
tppubtype = {conference}
}
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2020
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Zaeemzadeh, Alireza; Rahnavard, Nazanin; Shah, Mubarak Norm-Preservation: Why Residual Networks Can Become Extremely Deep? Journal Article In: IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2020. @article{Zaeemzadeh2018cb,
title = { Norm-Preservation: Why Residual Networks Can Become Extremely Deep?},
author = {Zaeemzadeh, Alireza and Rahnavard, Nazanin and Shah, Mubarak},
url = {http://lcwnlab.eecs.ucf.edu/wp-content/uploads/2020/07/2020_Norm_Preserving_PAMI_Alireza.pdf
https://arxiv.org/abs/1805.07477},
year = {2020},
date = {2020-05-15},
journal = {IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI)},
keywords = {Deep Learning, Deep Learning Theory, REM},
pubstate = {published},
tppubtype = {article}
}
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