4 citations · 6 across the 4 of their papers we have counts for
4 papers
An Exact Finite-dimensional Explicit Feature Map for Kernel Functions
Kamaledin Ghiasi-Shirazi, Mohammadreza Qaraei
Kernel methods in machine learning use a kernel function that takes two data points as input and returns their inner product after mapping them to a Hilbert space, implicitly and w…
Adversarial Examples for Extreme Multilabel Text Classification
Mohammadreza Qaraei, Rohit Babbar
Extreme Multilabel Text Classification (XMTC) is a text classification problem in which, (i) the output space is extremely large, (ii) each data point may have multiple positive la…
Neural Generalization of Multiple Kernel Learning
Ahmad Navid Ghanizadeh, Kamaledin Ghiasi-Shirazi, Reza Monsefi +1
Multiple Kernel Learning is a conventional way to learn the kernel function in kernel-based methods. MKL algorithms enhance the performance of kernel methods. However, these method…
Unbiased Loss Functions for Extreme Classification With Missing Labels
Erik Schultheis, Mohammadreza Qaraei, Priyanshu Gupta +1
The goal in extreme multi-label classification (XMC) is to tag an instance with a small subset of relevant labels from an extremely large set of possible labels. In addition to the…