30 citations · 137 across the 26 of their papers we have counts for
12 papers · 1 filter
SweetDeep: A Wearable AI Solution for Real-Time Non-Invasive Diabetes Screening
Ian Henriques, Lynda Elhassar, Sarvesh Relekar +11
The global rise in type 2 diabetes underscores the need for scalable and cost-effective screening methods. Current diagnosis requires biochemical assays, which are invasive and cos…
BREATHE: Second-Order Gradients and Heteroscedastic Emulation based Design Space Exploration
Shikhar Tuli, Niraj K. Jha
Researchers constantly strive to explore larger and more complex search spaces in various scientific studies and physical experiments. However, such investigations often involve so…
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors
Chia-Hao Li, Niraj K. Jha
Modern advances in machine learning (ML) and wearable medical sensors (WMSs) in edge devices have enabled ML-driven disease detection for smart healthcare. Conventional ML-driven m…
TransCODE: Co-design of Transformers and Accelerators for Efficient Training and Inference
Shikhar Tuli, Niraj K. Jha
Automated co-design of machine learning models and evaluation hardware is critical for efficiently deploying such models at scale. Despite the state-of-the-art performance of trans…
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms
Shikhar Tuli, Niraj K. Jha
Automated design of efficient transformer models has recently attracted significant attention from industry and academia. However, most works only focus on certain metrics while se…
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?
Shikhar Tuli, Bhishma Dedhia, Shreshth Tuli +1
The existence of a plethora of language models makes the problem of selecting the best one for a custom task challenging. Most state-of-the-art methods leverage transformer-based m…