Harsh Rangwani

activity

20212025

most citedA Closer Look at Smoothness in Domain Adversarial Training

27 citations · 46 across the 17 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

S $^{3}$ VAADA: 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

Class Balancing GAN with a Classifier in the Loop

Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu

Generative Adversarial Networks (GANs) have swiftly evolved to imitate increasingly complex image distributions. However, majority of the developments focus on performance of GANs…

S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation

Class Balancing GAN with a Classifier in the Loop

S $^{3}$ VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation