3 papers
cs.IR2025
Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data
Lalitesh Morishetti, Abhay Kumar, Jonathan Scott +6
In this paper, we present a novel model architecture for optimizing personalized product search ranking using a multi-task learning (MTL) framework. Our approach uniquely integrate…
stat.ML2018
Unsupervised Dimension Selection using a Blue Noise Spectrum
Jayaraman J. Thiagarajan, Rushil Anirudh, Rahul Sridhar +1
Unsupervised dimension selection is an important problem that seeks to reduce dimensionality of data, while preserving the most useful characteristics. While dimensionality reducti…
stat.ML2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar +1
Interpretability has emerged as a crucial aspect of building trust in machine learning systems, aimed at providing insights into the working of complex neural networks that are oth…