Convolutional kernel networks based on a convex combination of cosine kernels. - Mohammad Reza Mohammadnia-Qaraei; Reza Monsefi; Kamaledin Ghiasi-Shirazi (Pattern Recognit. Lett., 2018)

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 (ESANN, 2020)

Unbiased Loss Functions for Extreme Classification With Missing Labels. - Erik Schultheis; Mohammadreza Qaraei; Priyanshu Gupta; Rohit Babbar (CoRR, 2020)

Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels. - Mohammadreza Qaraei; Erik Schultheis; Priyanshu Gupta; Rohit Babbar (WWW, 2021)

Randomized non-linear PCA networks. - Mohammad Reza Mohammadnia-Qaraei; Saeid Abbaasi; Kamaledin Ghiasi-Shirazi (Inf. Sci., 2021)

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 (LChange@ACL, 2022)

Adversarial examples for extreme multilabel text classification. - Mohammadreza Qaraei; Rohit Babbar (Mach. Learn., 2022)

An Exact Finite-dimensional Explicit Feature Map for Kernel Functions. - Kamaledin Ghiasi-Shirazi; Mohammadreza Qaraei (CoRR, 2024)

Efficient and Robust Algorithms for Extreme Multilabel Classification. - Mohammadreza Qaraei (2024)

Meta-classifier free negative sampling for extreme multilabel classification. - Mohammadreza Qaraei; Rohit Babbar (Mach. Learn., 2024)

Neural Generalization of Multiple Kernel Learning. - Ahamad Navid Ghanizadeh; Kamaledin Ghiasi-Shirazi; Reza Monsefi; Mohammadreza Qaraei (Neural Process. Lett., 2024)