11 citations · 36 across the 17 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification
Daniel Zhang, Vikram Voleti, Alexander Wong +1
Creating high-performance generalizable deep neural networks for phytoplankton monitoring requires utilizing large-scale data coming from diverse global water sources. A major chal…
cs.LG2022★ 1 cited
A Fair Loss Function for Network Pruning
Robbie Meyer, Alexander Wong
Model pruning can enable the deployment of neural networks in environments with resource constraints. While pruning may have a small effect on the overall performance of the model,…
cs.LG2022
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks
Stone Yun, Alexander Wong
Deep convolutional neural network (CNN) training via iterative optimization has had incredible success in finding optimal parameters. However, modern CNN architectures often contai…