21 citations · 41 across the 16 of their papers we have counts for
4 papers · 1 filter
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task
Swaroop Mishra, Anjana Arunkumar, Chris Bryan +1
Evaluation of models on benchmarks is unreliable without knowing the degree of sample hardness; this subsequently overestimates the capability of AI systems and limits their adopti…
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
Swaroop Mishra, Anjana Arunkumar, Chris Bryan +1
Several benchmarks have been built with heavy investment in resources to track our progress in NLP. Thousands of papers published in response to those benchmarks have competed to t…
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid
Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar +1
The electrical power grid is a critical infrastructure, with disruptions in transmission having severe repercussions on daily activities, across multiple sectors. To identify, prev…
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective
Jinbin Huang, Aditi Mishra, Bum Chul Kwon +1
Traditional deep learning interpretability methods which are suitable for model users cannot explain network behaviors at the global level and are inflexible at providing fine-grai…