Search Results for author: Anthony Ndirango

Found 4 papers, 0 papers with code

Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks

no code implementations26 Aug 2021 Landan Seguin, Anthony Ndirango, Neeli Mishra, SueYeon Chung, Tyler Lee

Motivated by a recent study on learning robustness without input perturbations by distilling an AT model, we explore what is learned during adversarial training by analyzing the distribution of logits in AT models.

Adversarial Robustness

Illuminating Dark Knowledge via Random Matrix Ensembles

no code implementations1 Jan 2021 Anthony Ndirango

It is all but certain that machine learning models based on deep neural networks will soon feature ubiquitously in a wide variety of critical products and services that people rely on.

Learning Theory

Generalization in multitask deep neural classifiers: a statistical physics approach

no code implementations NeurIPS 2019 Tyler Lee, Anthony Ndirango

There has also been a recent interest in extending these analyses to understanding how multitask learning can further improve the generalization capacity of deep neural nets.

Label-efficient audio classification through multitask learning and self-supervision

no code implementations ICLR Workshop LLD 2019 Tyler Lee, Ting Gong, Suchismita Padhy, Andrew Rouditchenko, Anthony Ndirango

We demonstrate that, in scenarios with limited labeled training data, one can significantly improve the performance of three different supervised classification tasks individually by up to 6% through simultaneous training with these additional self-supervised tasks.

Audio Classification Classification +3

Cannot find the paper you are looking for? You can Submit a new open access paper.