4 papers
WriterForcing: Generating more interesting story endings
Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani +1
We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence…
Low-rank geometric mean metric learning
Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai +1
We propose a low-rank approach to learning a Mahalanobis metric from data. Inspired by the recent geometric mean metric learning (GMML) algorithm, we propose a low-rank variant of…
A two-dimensional decomposition approach for matrix completion through gossip
Mukul Bhutani, Bamdev Mishra
Factoring a matrix into two low rank matrices is at the heart of many problems. The problem of matrix completion especially uses it to decompose a sparse matrix into two non sparse…
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
E-commerce websites such as Amazon, Alibaba, Flipkart, and Walmart sell billions of products. Machine learning (ML) algorithms involving products are often used to improve the cust…