Kyle Reing

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 11

Top Topics

Domain Knowledge

Latent Dirichlet Allocation

Top Venues

IEEE Trans. Inf. Theory

Publications

Kyle Reing, Greg Ver Steeg, Aram Galstyan
Influence Decompositions For Neural Network Attribution. AISTATS (2021)
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Discovering Higher-Order Interactions Through Neural Information Decomposition. Entropy 23 (1) (2021)
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
Improving generalization by controlling label-noise information in neural network weights. ICML (2020)
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights. CoRR (2020)
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Maximizing Multivariate Information With Error-Correcting Codes. IEEE Trans. Inf. Theory 66 (5) (2020)
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Maximizing Multivariate Information with Error-Correcting Codes. CoRR (2018)
Ryan J. Gallagher, Kyle Reing, David C. Kale, Greg Ver Steeg
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge. Trans. Assoc. Comput. Linguistics 5 (2017)
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
Sifting Common Information from Many Variables. IJCAI (2017)
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
Sifting Common Information from Many Variables. CoRR (2016)
Ryan J. Gallagher, Kyle Reing, David C. Kale, Greg Ver Steeg
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge. CoRR (2016)
Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan
Toward Interpretable Topic Discovery via Anchored Correlation Explanation. CoRR (2016)