4 papers
TabChange: Precise Attribute Changes in Tabular Data
Arjun Dahal, Yu Lei, Raghu N. Kacker +1
Modifying an attribute in tabular data often introduces an unnatural instance by breaking its relationships with other attributes. The modified instance must be both natural and mi…
DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging
Krishna Khadka, Yu Lei, Raghu N. Kacker +1
We introduce a gradient-free framework for identifying minimal, sufficient, and decision-preserving explanations in vision models by isolating the smallest subset of representation…
ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions
Krishna Khadka, Sunny Shree, Pujan Budhathoki +3
Machine learning models are increasingly used in critical applications but are mostly "black boxes" due to their lack of transparency. Local explanation approaches, such as LIME, a…
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities
Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei +5
We introduce ViLPAct, a novel vision-language benchmark for human activity planning. It is designed for a task where embodied AI agents can reason and forecast future actions of hu…