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08/31/2023
SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Large Language Model (LLM) inference consists of two distinct phases - p...
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04/23/2023
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
The use of observed wearable sensor data (e.g., photoplethysmograms [PPG...
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08/10/2022
Towards Automating Retinoscopy for Refractive Error Diagnosis
Refractive error is the most common eye disorder and is the key cause be...
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07/14/2022
Distance Learner: Incorporating Manifold Prior to Model Training
The manifold hypothesis (real world data concentrates near low-dimension...
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05/07/2022
Keratoconus Classifier for Smartphone-based Corneal Topographer
Keratoconus is a severe eye disease that leads to deformation of the cor...
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11/07/2021
Varuna: Scalable, Low-cost Training of Massive Deep Learning Models
Systems for training massive deep learning models (billions of parameter...
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11/02/2021
SmartKC: Smartphone-based Corneal Topographer for Keratoconus Detection
Keratoconus is a severe eye disease affecting the cornea (the clear, dom...
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05/30/2021
LRTuner: A Learning Rate Tuner for Deep Neural Networks
One very important hyperparameter for training deep neural networks is t...
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10/31/2020
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Auscultation of respiratory sounds is the primary tool for screening and...
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10/23/2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
Generative adversarial networks (GANs) have been remarkably successful i...
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03/09/2020