Search Results for author: Orhan Ocal

Found 3 papers, 0 papers with code

Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion

no code implementations9 May 2019 Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran

Due to the use of a single encoder, our method can generalize to converting the voice of out-of-training speakers to speakers in the training dataset.

Voice Conversion

Cross-Entropy Loss Leads To Poor Margins

no code implementations ICLR 2019 Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran

In this work, we study the binary classification of linearly separable datasets and show that linear classifiers could also have decision boundaries that lie close to their training dataset if cross-entropy loss is used for training.

Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples

no code implementations24 Jan 2019 Kamil Nar, Orhan Ocal, S. Shankar Sastry, Kannan Ramchandran

We show that differential training can ensure a large margin between the decision boundary of the neural network and the points in the training dataset.

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