Mohammadreza Mohammadnia Qaraei

T313 Dept. Computer Science
Full researcher profile


[email protected]


  • Professorship Babbar Rohit, Visitor (Doctoral Researcher)


Neural Generalization of Multiple Kernel Learning

Ahmad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei 2024 Neural Processing Letters

Meta-classifier free negative sampling for extreme multilabel classification

Mohammadreza Mohammadnia Qaraei, Rohit Babbar 2024 Machine Learning

Adversarial examples for extreme multilabel text classification

Mohammadreza Mohammadnia Qaraei, Rohit Babbar 2022 Machine Learning

Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model

Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Mohammadnia Qaraei, Liina Repo, Rohit Babbar, Eetu Mäkelä, Mikko Tolonen, Filip Ginter 2022 Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels

Mohammadreza Mohammadnia Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar 2021 The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021

Randomized non-linear PCA networks

Mohammadreza Mohammadnia Qaraei, Saeid Abbaasi, Kamaledin Ghiasi-Shirazi 2021 Information Sciences (Elsevier)

Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification

Mohammadreza Mohammadnia Qaraei, Sujay Khandagale, Rohit Babbar 2020 ESANN 2020 - Proceedings, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Unbiased Loss Functions for Extreme Classification With Missing Labels

Erik Schultheis, Mohammadreza Mohammadnia Qaraei, Priyanshu Gupta, Rohit Babbar 2020