4 citations · 6 across the 3 of their papers we have counts for
5 papers
Keratoconus Classifier for Smartphone-based Corneal Topographer
Siddhartha Gairola, Pallavi Joshi, Anand Balasubramaniam +3
Keratoconus is a severe eye disease that leads to deformation of the cornea. It impacts people aged 10-25 years and is the leading cause of blindness in that demography. Corneal to…
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads
Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha +23
Lowering costs by driving high utilization across deep learning workloads is a crucial lever for cloud providers. We present Singularity, Microsoft's globally distributed schedulin…
LRTuner: A Learning Rate Tuner for Deep Neural Networks
Nikhil Iyer, V Thejas, Nipun Kwatra +2
One very important hyperparameter for training deep neural networks is the learning rate schedule of the optimizer. The choice of learning rate schedule determines the computationa…
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Siddhartha Gairola, Francis Tom, Nipun Kwatra +1
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases. Automated analysis, coupled with digital stethoscopes, can play a crucial role in…
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
Arunava Chakraborty, Rahul Ragesh, Mahir Shah +1
Generative adversarial networks (GANs) have been remarkably successful in learning complex high dimensional real word distributions and generating realistic samples. However, they…