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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...
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08/13/2021
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification
In recent years graph neural network (GNN)-based approaches have become ...
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04/03/2021
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions
Training and deploying graph neural networks (GNNs) remains difficult du...
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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...
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08/11/2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Graph neural networks (GNNs) have demonstrated strong performance on a w...
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01/22/2020