326 citations · 354 across the 10 of their papers we have counts for
11 papers
Graph-Based Algorithms for Diverse Similarity Search
Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy +4
Nearest neighbor search is a fundamental data structure problem with many applications in machine learning, computer vision, recommendation systems and other fields. Although the m…
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
Vikas C. Raykar, Arindam Jati, Sumanta Mukherjee +4
A trustworthy machine learning model should be accurate as well as explainable. Understanding why a model makes a certain decision defines the notion of explainability. While vario…
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee +3
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, deve…
Hyper-local sustainable assortment planning
Nupur Aggarwal, Abhishek Bansal, Kushagra Manglik +2
Assortment planning, an important seasonal activity for any retailer, involves choosing the right subset of products to stock in each store.While existing approaches only maximize…
Multi-modal dialog for browsing large visual catalogs using exploration-exploitation paradigm in a joint embedding space
Indrani Bhattacharya, Arkabandhu Chowdhury, Vikas Raykar
We present a multi-modal dialog system to assist online shoppers in visually browsing through large catalogs. Visual browsing is different from visual search in that it allows the…
Styling with Attention to Details
Ayushi Dalmia, Sachindra Joshi, Raghavendra Singh +1
Fashion as characterized by its nature, is driven by style. In this paper, we propose a method that takes into account the style information to complete a given set of selected fas…