Improving Generalization by Controlling Label-Noise Information in Neural Network Weights

1 code implementation • ICML 2020 • Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan

In the presence of noisy or incorrect labels, neural networks have the undesirable tendency to memorize information about the noise.

Data Augmentation Generalization Bounds +2

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

1 code implementation • TACL 2017 • Ryan J. Gallagher, Kyle Reing, David Kale, Greg Ver Steeg

While generative models such as Latent Dirichlet Allocation (LDA) have proven fruitful in topic modeling, they often require detailed assumptions and careful specification of hyperparameters.

Toward Interpretable Topic Discovery via Anchored Correlation Explanation

no code implementations • 22 Jun 2016 • Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan

Many predictive tasks, such as diagnosing a patient based on their medical chart, are ultimately defined by the decisions of human experts.

Sifting Common Information from Many Variables

1 code implementation • 7 Jun 2016 • Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan

Measuring the relationship between any pair of variables is a rich and active area of research that is central to scientific practice.

blind source separation Dimensionality Reduction