Publications (8)
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja, Anirban Laha, Shachar Mirkin +3
The stream of words produced by Automatic Speech Recognition (ASR) systems is typically devoid of punctuations and formatting. Most natural language processing applications expect…
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks
Anirban Laha, Vikas Raykar
Several tasks in argumentation mining and debating, question-answering, and natural language inference involve classifying a sequence in the context of another sequence (referred a…
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…
An Autoencoder Approach to Learning Bilingual Word Representations
Sarath Chandar A P, Stanislas Lauly, Hugo Larochelle +4
Cross-language learning allows us to use training data from one language to build models for a different language. Many approaches to bilingual learning require that we have word-l…
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…
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
Sachin Mehta, Amar P. Azad, Saneem A. Chemmengath +2
The impact of soiling on solar panels is an important and well-studied problem in renewable energy sector. In this paper, we present the first convolutional neural network (CNN) ba…