Mohammad H. Rohban
Orcid: 0000-0001-6589-850X
According to our database1,
Mohammad H. Rohban
authored at least 54 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Correction to: Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures.
Earth Sci. Informatics, April, 2024
Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures.
Earth Sci. Informatics, April, 2024
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP.
CoRR, 2024
2023
ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training.
Intell. Syst. Appl., September, 2023
Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging.
Algorithms, February, 2023
Mach. Learn., 2023
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection.
CoRR, 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods.
CoRR, 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework.
CoRR, 2023
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers.
CoRR, 2023
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images.
CoRR, 2023
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection.
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023
2022
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.
Trans. Mach. Learn. Res., 2022
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.
CoRR, 2022
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations.
CoRR, 2022
CoRR, 2022
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Neural Networks, 2021
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification.
CoRR, 2021
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training.
CoRR, 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training.
CoRR, 2021
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI.
CoRR, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
2016
IEEE Trans. Signal Process., 2016
2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.
CoRR, 2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Incorporating Betweenness Centrality in Compressive Sensing for congestion detection.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 51st Annual Allerton Conference on Communication, 2013
2012
Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels.
IEEE Signal Process. Lett., 2012
Graph based semi-supervised human pose estimation: When the output space comes to help.
Pattern Recognit. Lett., 2012
Pattern Recognit., 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Face virtual pose generation using aligned locally linear regression for face recognition.
Proceedings of the International Conference on Image Processing, 2009