10 citations · 15 across the 5 of their papers we have counts for
5 papers
Signed Input Regularization
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
Over-parameterized deep models usually over-fit to a given training distribution, which makes them sensitive to small changes and out-of-distribution samples at inference time, lea…
Introduction to Concentration Inequalities
Kumar Abhishek, Sneha Maheshwari, Sujit Gujar
In this report, we aim to exemplify concentration inequalities and provide easy to understand proofs for it. Our focus is on the inequalities which are helpful in the design and an…
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi +1
The linear and non-flexible nature of deep convolutional models makes them vulnerable to carefully crafted adversarial perturbations. To tackle this problem, we propose a non-linea…
Summarization and Visualization of Large Volumes of Broadcast Video Data
Kumar Abhishek, Ashok Yogi
Over the past few years, there has been an astounding growth in the number of news channels as well as the amount of broadcast news video data. As a result, it is imperative that a…
Improved Neural Text Attribute Transfer with Non-parallel Data
Igor Melnyk, Cicero Nogueira dos Santos, Kahini Wadhawan +2
Text attribute transfer using non-parallel data requires methods that can perform disentanglement of content and linguistic attributes. In this work, we propose multiple improvemen…