Papers by Fred Hohman
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings (2023.acl-demo)
Copied to clipboard
| Challenge: | Modern machine learning models learn latent embedding representations that capture the domain semantics of training data. |
| Approach: | They propose an interactive visualization tool to help users explore large embeddings by using a multi-resolution summarization method and a familiar map-like interface. |
| Outcome: | The proposed visualization tool scales to millions of embedding points directly in users’ web browsers and computational notebooks without the need for dedicated backend servers. |