29 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.LG2014★ 29 cited
Score Function Features for Discriminative Learning: Matrix and Tensor Framework
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we cons…
cs.LG2014
Score Function Features for Discriminative Learning
Majid Janzamin, Hanie Sedghi, Anima Anandkumar
Feature learning forms the cornerstone for tackling challenging learning problems in domains such as speech, computer vision and natural language processing. In this paper, we cons…
cs.LG2014★ 11 cited
Provable Methods for Training Neural Networks with Sparse Connectivity
Hanie Sedghi, Anima Anandkumar
We provide novel guaranteed approaches for training feedforward neural networks with sparse connectivity. We leverage on the techniques developed previously for learning linear net…