4 citations · 4 across the 3 of their papers we have counts for
5 papers
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings
Maulik Parmar, Apurva Narayan
Hypernymy plays a fundamental role in many AI tasks like taxonomy learning, ontology learning, etc. This has motivated the development of many automatic identification methods for…
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar +1
In this paper, we address a crucial problem in fashion e-commerce (with respect to customer experience, as well as revenue): color variants identification, i.e., identifying fashio…
Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning
Ujjal Kr Dutta, Sandeep Repakula, Maulik Parmar +1
In this paper, we utilize deep visual Representation Learning to address an important problem in fashion e-commerce: color variants identification, i.e., identifying fashion produc…
Buy Me That Look: An Approach for Recommending Similar Fashion Products
Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta +1
Have you ever looked at an Instagram model, or a model in a fashion e-commerce web-page, and thought \textit{"Wish I could get a list of fashion items similar to the ones worn by t…
Neural Machine Translation with Recurrent Highway Networks
Maulik Parmar, V. Susheela Devi
Recurrent Neural Networks have lately gained a lot of popularity in language modelling tasks, especially in neural machine translation(NMT). Very recent NMT models are based on Enc…