Carlos Hurtado — accepted AI-conference papers

2024

Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression

Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega

EMNLP 2024finding

As language models become more general purpose, increased attention needs to be paid to detecting out-of-distribution (OOD) instances, i.e., those not belonging to any of the distributions seen during training. Existing methods for detecting OOD data are computationally complex and storage-intensive…

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2023

Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs

Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega

ICASSP 2023accepted

Modern machine learning systems are increasingly trained on large amounts of data embedded in high-dimensional spaces. Often this is done without analyzing the structure of the dataset. In this work, we propose a framework to study the geometric structure of the data. We make use of our recently int…

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