Alexander Cao

Open-Set Recognition with Gaussian Mixture Variational Autoencoders

2020 · arXiv (Cornell University)

In inference, open-set classification is to either classify a sample into a known class from training or reject it as an unknown class. Existing deep open-set classifiers train explicit closed-set classifiers, in some cases disjointly …

Early Classifying Multimodal Sequences

2023 · arXiv (Cornell University)

Often pieces of information are received sequentially over time. When did one collect enough such pieces to classify? Trading wait time for decision certainty leads to early classification problems that have recently gained attention as …