Shyam A. Tailor | DeepAI

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∙ 02/16/2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

Pruning neural networks at initialization would enable us to find sparse...

0 Milad Alizadeh, et al. ∙

∙ 08/13/2021

Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification

In recent years graph neural network (GNN)-based approaches have become ...

15 Shyam A. Tailor, et al. ∙

∙ 04/03/2021

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions

Training and deploying graph neural networks (GNNs) remains difficult du...

0 Shyam A. Tailor, et al. ∙

∙ 08/12/2020

A First Step Towards On-Device Monitoring of Body Sounds in the Wild

Body sounds provide rich information about the state of the human body a...

0 Shyam A. Tailor, et al. ∙

∙ 08/11/2020

Degree-Quant: Quantization-Aware Training for Graph Neural Networks

Graph neural networks (GNNs) have demonstrated strong performance on a w...

0 Shyam A. Tailor, et al. ∙

∙ 01/22/2020

Are Accelerometers for Activity Recognition a Dead-end?

Accelerometer-based (and by extension other inertial sensors) research f...

53 Catherine Tong, et al. ∙

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