We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over
videos from limited user interactions. The user only provides a handful of positive and …

Machine learning tasks over image databases often generate masks that annotate image
content (eg, saliency maps, segmentation maps, depth maps) and enable a variety of …

The process of training deep learning models produces a huge amount of meta-data,
including but not limited to losses, hidden feature embeddings, and gradients. Model …

Benchmarks for large multimodal language models (MLMs) now serve to simultaneously
assess the general capabilities of models instead of evaluating for a specific capability. As a …

We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over
videos from limited user interactions. The user only provides a handful of positive and …

Analysts and scientists are interested in automatically analyzing the semantic contents of
unstructured, non-tabular data (videos, images, text, and audio). These analysts have turned …

Analysts and scientists are increasingly interested in automatically analyzing the semantic
contents of unstructured, non-tabular data. In order to extract semantic information, analysts …

A successful machine learning application requires powerful machine learning models and
high-quality training data. In recent years, the machine learning community has proposed …