Mohammad Reza Mohammadnia-Qaraei

According to our database, Mohammad Reza Mohammadnia-Qaraei authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural Generalization of Multiple Kernel Learning.

Ahamad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi, Mohammadreza Qaraei

Neural Process. Lett., February, 2024

Meta-classifier free negative sampling for extreme multilabel classification.

Mohammadreza Qaraei, Rohit Babbar

Mach. Learn., February, 2024

2022

Adversarial examples for extreme multilabel text classification.

Mohammadreza Qaraei, Rohit Babbar

Mach. Learn., 2022

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

Iiro Rastas, Yann Ciarán Ryan, Iiro Tiihonen, Mohammadreza Qaraei, Liina Repo, Rohit Babbar, Eetu Mäkelä, Mikko Tolonen, Filip Ginter

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022

2021

Randomized non-linear PCA networks.

Mohammad Reza Mohammadnia-Qaraei, Saeid Abbaasi, Kamaledin Ghiasi-Shirazi

Inf. Sci., 2021

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

Mohammadreza Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Unbiased Loss Functions for Extreme Classification With Missing Labels.

Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta, Rohit Babbar

CoRR, 2020

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

Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2018

Convolutional kernel networks based on a convex combination of cosine kernels.

Mohammad Reza Mohammadnia-Qaraei, Reza Monsefi, Kamaledin Ghiasi-Shirazi

Pattern Recognit. Lett., 2018