1 code implementation • NeurIPS 2019 • Tharun Medini, Qixuan Huang, Yiqiu Wang, Vijai Mohan, Anshumali Shrivastava
Our largest model has 6. 4 billion parameters and trains in less than 35 hours on a single p3. 16x machine.
1 code implementation • 7 Oct 2019 • Gaurav Gupta, Benjamin Coleman, Tharun Medini, Vijai Mohan, Anshumali Shrivastava
A simple array of Bloom Filters can achieve that.
no code implementations • 9 Sep 2019 • Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
In this paper, we study RF techniques based on both long-term and short-term context dependencies in multi-page product search.
no code implementations • 4 Sep 2019 • Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft
However, customers with little or no purchase history do not benefit from personalized product search.
1 code implementation • 1 Jul 2019 • Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian, Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
To address these issues, we train a deep learning model for semantic matching using customer behavior data.
1 code implementation • 1 Feb 2019 • Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava
The problem is becoming more severe as deep learning models continue to grow larger in order to learn from complex, large-scale datasets.
no code implementations • 2 Oct 2018 • Choon Hui Teo, Houssam Nassif, Daniel Hill, Sriram Srinavasan, Mitchell Goodman, Vijai Mohan, SVN Vishwanathan
Search queries are appropriate when users have explicit intent, but they perform poorly when the intent is difficult to express or if the user is simply looking to be inspired.
no code implementations • ICLR 2018 • Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric Nalisnick, Leo Dirac, Runfei Luo
We present a personalized recommender system using neural network for recommending products, such as eBooks, audio-books, Mobile Apps, Video and Music.
no code implementations • ICLR 2018 • Po-Wei Wang, J. Zico Kolter, Vijai Mohan, Inderjit S. Dhillon
Search engine users nowadays heavily depend on query completion and correction to shape their queries.