7 citations · 11 across the 6 of their papers we have counts for
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cs.LG2021
ResVGAE: Going Deeper with Residual Modules for Link Prediction
Indrit Nallbani, Reyhan Kevser Keser, Aydin Ayanzadeh +2
Graph autoencoders are efficient at embedding graph-based data sets. Most graph autoencoder architectures have shallow depths which limits their ability to capture meaningful relat…
cs.LG2021★ 7 cited
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam +3
One of the most efficient methods for model compression is hint distillation, where the student model is injected with information (hints) from several different layers of the teac…