21 citations · 40 across the 9 of their papers we have counts for
3 papers · 1 filter
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran +1
Graph convolutional networks (GCNs) have achieved huge success in several machine learning (ML) tasks on graph-structured data. Recently, several sampling techniques have been prop…
Clustering Indices based Automatic Classification Model Selection
Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Classification model selection is a process of identifying a suitable model class for a given classification task on a dataset. Traditionally, model selection is based on cross-val…
Are Models Trained on Indian Legal Data Fair?
Sahil Girhepuje, Anmol Goel, Gokul S Krishnan +4
Recent advances and applications of language technology and artificial intelligence have enabled much success across multiple domains like law, medical and mental health. AI-based…