22 citations · 60 across the 22 of their papers we have counts for
3 papers · 1 filter
Curriculum based Dropout Discriminator for Domain Adaptation
Vinod Kumar Kurmi, Vipul Bajaj, Venkatesh K Subramanian +1
Domain adaptation is essential to enable wide usage of deep learning based networks trained using large labeled datasets. Adversarial learning based techniques have shown their uti…
Attending to Discriminative Certainty for Domain Adaptation
Vinod Kumar Kurmi, Shanu Kumar, Vinay P Namboodiri
In this paper, we aim to solve for unsupervised domain adaptation of classifiers where we have access to label information for the source domain while these are not available for a…
Looking back at Labels: A Class based Domain Adaptation Technique
Vinod Kumar Kurmi, Vinay P. Namboodiri
In this paper, we solve the problem of adapting classifiers across domains. We consider the problem of domain adaptation for multi-class classification where we are provided a labe…