Search Results for author:
Found 7 papers, 4 papers with code
Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems
We evaluate their performance with mixtures of natural speech versus slightly manipulated inharmonic speech, where harmonics are slightly frequency jittered.
Ranked #1 on
Adversarial Attack
on WSJ0-2mix
Exploring the high dimensional geometry of HSI features
We explore feature space geometries induced by the 3-D Fourier scattering transform and deep neural network with extended attribute profiles on four standard hyperspectral images.
Cortical Features for Defense Against Adversarial Audio Attacks
We propose using a computational model of the auditory cortex as a defense against adversarial attacks on audio.
A study of quality and diversity in K+1 GANs
We study the K+1 GAN paradigm which generalizes the canonical true/fake GAN by training a generator with a K+1-ary classifier instead of a binary discriminator.
cGANs with Multi-Hinge Loss
We propose a new algorithm to incorporate class conditional information into the critic of GANs via a multi-class generalization of the commonly used Hinge loss that is compatible with both supervised and semi-supervised settings.
Ranked #8 on
Conditional Image Generation
on CIFAR-10
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images
Recent developments in machine learning and signal processing have resulted in many new techniques that are able to effectively capture the intrinsic yet complex properties of hyperspectral imagery.
