10 citations · 23 across the 7 of their papers we have counts for
4 papers · 1 filter
Combining Counterfactuals With Shapley Values To Explain Image Models
Aditya Lahiri, Kamran Alipour, Ehsan Adeli +1
With the widespread use of sophisticated machine learning models in sensitive applications, understanding their decision-making has become an essential task. Models trained on tabu…
Predicting Airbnb Rental Prices Using Multiple Feature Modalities
Aditya Ahuja, Aditya Lahiri, Aniruddha Das
Figuring out the price of a listed Airbnb rental is an important and difficult task for both the host and the customer. For the former, it can enable them to set a reasonable price…
Pitfalls of Explainable ML: An Industry Perspective
Sahil Verma, Aditya Lahiri, John P. Dickerson +1
As machine learning (ML) systems take a more prominent and central role in contributing to life-impacting decisions, ensuring their trustworthiness and accountability is of utmost…
Accurate and Intuitive Contextual Explanations using Linear Model Trees
Aditya Lahiri, Narayanan Unny Edakunni
With the ever-increasing use of complex machine learning models in critical applications within the finance domain, explaining the decisions of the model has become a necessity. Wi…