27 citations · 49 across the 6 of their papers we have counts for
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cs.LG2021★ 1 cited
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…
cs.LG2021★ 7 cited
Robustness to Augmentations as a Generalization metric
Sumukh Aithal K, Dhruva Kashyap, Natarajan Subramanyam
Generalization is the ability of a model to predict on unseen domains and is a fundamental task in machine learning. Several generalization bounds, both theoretical and empirical h…