9 citations · 21 across the 5 of their papers we have counts for
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cs.LG2022★ 6 cited
A Comparative study of Hyper-Parameter Optimization Tools
Shashank Shekhar, Adesh Bansode, Asif Salim
Most of the machine learning models have associated hyper-parameters along with their parameters. While the algorithm gives the solution for parameters, its utility for model perfo…
cs.LG2021★ 1 cited
An efficient scheme based on graph centrality to select nodes for training for effective learning
CR Sandeep, Asif Salim, R Sethunadh +1
The process of selecting points for training a machine learning model is often a challenging task. Many times, we will have a lot of data, but for training, we require the labels a…
cs.LG2020★ 1 cited
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim, Sumitra S
Graph convolutional neural networks (GCNNs) have been widely used in graph learning. It has been observed that the smoothness functional on graphs can be defined in terms of the gr…