213 citations · 357 across the 13 of their papers we have counts for
5 papers · 1 filter
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Jifan Zhang, Shuai Shao, Saurabh Verma +1
Label efficiency has become an increasingly important objective in deep learning applications. Active learning aims to reduce the number of labeled examples needed to train deep ne…
Physics-Guided Deep Neural Networks for Power Flow Analysis
Xinyue Hu, Haoji Hu, Saurabh Verma +1
Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing security analysis, etc.…
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma, Zhi-Li Zhang
Learning powerful data embeddings has become a center piece in machine learning, especially in natural language processing and computer vision domains. The crux of these embeddings…
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Saurabh Agrawal, Saurabh Verma, Anuj Karpatne +3
Traditional approaches focus on finding relationships between two entire time series, however, many interesting relationships exist in small sub-intervals of time and remain feeble…
Stability and Generalization of Graph Convolutional Neural Networks
Saurabh Verma, Zhi-Li Zhang
Inspired by convolutional neural networks on 1D and 2D data, graph convolutional neural networks (GCNNs) have been developed for various learning tasks on graph data, and have show…