2 citations · 2 across the 1 of their papers we have counts for
3 papers
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Archit Rathore, Sunipa Dev, Jeff M. Phillips +6
Word vector embeddings have been shown to contain and amplify biases in data they are extracted from. Consequently, many techniques have been proposed to identify, mitigate, and at…
Sketching Merge Trees for Scientific Data Visualization
Mingzhe Li, Sourabh Palande, Lin Yan +1
Merge trees are a type of topological descriptors that record the connectivity among the sublevel sets of scalar fields. They are among the most widely used topological tools in vi…
TopoAct: Visually Exploring the Shape of Activations in Deep Learning
Archit Rathore, Nithin Chalapathi, Sourabh Palande +1
Deep neural networks such as GoogLeNet, ResNet, and BERT have achieved impressive performance in tasks such as image and text classification. To understand how such performance is…