6 citations · 17 across the 10 of their papers we have counts for
3 papers · 1 filter
Learning with partially separable data
Aida Khozaei, Hadi Moradi, Reshad Hosseini
There are partially separable data types that make classification tasks very hard. In other words, only parts of the data are informative meaning that looking at the rest of the da…
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani, Reshad Hosseini, Seyed Pooya Shariatpanahi +1
In large-scale problems, standard reinforcement learning algorithms suffer from slow learning speed. In this paper, we follow the framework of using subspaces to tackle this proble…
Deep-RBF Networks Revisited: Robust Classification with Rejection
Pourya Habib Zadeh, Reshad Hosseini, Suvrit Sra
One of the main drawbacks of deep neural networks, like many other classifiers, is their vulnerability to adversarial attacks. An important reason for their vulnerability is assign…