Chetan Arora

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions

2022 · arXiv (Cornell University)

Modern deep neural network models are known to erroneously classify out-of-distribution (OOD) test data into one of the in-distribution (ID) training classes with high confidence. This can have disastrous consequences for safety-critical applications. A popular …

Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study

2023 · arXiv (Cornell University)

Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges in requirements engineering (RE) when building AI software systems. RE for AI practices have not been studied much and have …

Stop Words for Processing Software Engineering Documents: Do they Matter?

2023 · arXiv (Cornell University)

Stop words, which are considered non-predictive, are often eliminated in natural language processing tasks. However, the definition of uninformative vocabulary is vague, so most algorithms use general knowledge-based stop lists to remove stop words. There …