27 citations · 28 across the 5 of their papers we have counts for
5 papers
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines
Pralaypati Ta, Bhumika Gupta, Arihant Jain +4
Clinical Practice Guidelines (CPGs) for cancer diseases evolve rapidly due to new evidence generated by active research. Currently, CPGs are primarily published in a document forma…
TAME: Task Agnostic Continual Learning using Multiple Experts
Haoran Zhu, Maryam Majzoubi, Arihant Jain +1
The goal of lifelong learning is to continuously learn from non-stationary distributions, where the non-stationarity is typically imposed by a sequence of distinct tasks. Prior wor…
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani, Sumukh K Aithal, Mayank Mishra +2
Domain adversarial training has been ubiquitous for achieving invariant representations and is used widely for various domain adaptation tasks. In recent times, methods converging…
SVAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani, Arihant Jain, Sumukh K Aithal +1
Unsupervised domain adaptation (DA) methods have focused on achieving maximal performance through aligning features from source and target domains without using labeled data in the…
A Novel Hybrid CNN-AIS Visual Pattern Recognition Engine
Vandna Bhalla, Santanu Chaudhury, Arihant Jain
Machine learning methods are used today for most recognition problems. Convolutional Neural Networks (CNN) have time and again proved successful for many image processing tasks pri…