Cornelia Caragea

A look at how BT-RvNN improves memory use and performance in neural networks.

MarginMatch improves model training with high-quality pseudo-labels.

MarginMatch enhances learning from limited labeled data using model performance tracking.

This study examines adding recurrence to Transformers for improved performance in machine learning tasks.

FlowLearn enhances flowchart comprehension for advanced models with scientific and simulated diagrams.

This article discusses the connection between RvNNs and Transformers through CRvNN and NDR.