6 papers
Scaling ML Products At Startups: A Practitioner's Guide
Atul Dhingra, Gaurav Sood
How do you scale a machine learning product at a startup? In particular, how do you serve a greater volume, velocity, and variety of queries cost-effectively? We break down costs i…
Instate: Predicting the State of Residence From Last Name
Atul Dhingra, Gaurav Sood
India has twenty-two official languages. Serving such a diverse language base is a challenge for survey statisticians, call center operators, software developers, and other such se…
Learning Large Scale Sparse Models
Atul Dhingra, Jie Shen, Nicholas Kleene
In this work, we consider learning sparse models in large scale settings, where the number of samples and the feature dimension can grow as large as millions or billions. Two immed…
Neurorehab: An Interface for Rehabilitation
Atul Dhingra, Adeboye A. Adejare, Adam Fendler +1
About 15% of the world population is affected by a disability in some form, amongst whom only 31% perform the recommended exercises without intervention. We are working on developi…
Model Complexity-Accuracy Trade-off for a Convolutional Neural Network
Atul Dhingra
Convolutional Neural Networks(CNN) has had a great success in the recent past, because of the advent of faster GPUs and memory access. CNNs are really powerful as they learn the fe…
Face Identification and Clustering
Atul Dhingra
In this thesis, we study two problems based on clustering algorithms. In the first problem, we study the role of visual attributes using an agglomerative clustering algorithm to wh…