Search Results - "Kurmi, Vinod Kumar"

Attending to Discriminative Certainty for Domain Adaptation by Kurmi, Vinod Kumar, Kumar, Shanu, Namboodiri, Vinay P.

“…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…”
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Exploring dropout discriminator for domain adaptation by Kurmi, Vinod Kumar, Subramanian, Venkatesh K., Namboodiri, Vinay P.

“…Adaptation of a classifier to new domains is one of the challenging problems in machine learning. This has been addressed using many deep and non-deep learning…”
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Looking back at Labels: A Class based Domain Adaptation Technique by Kurmi, Vinod Kumar, Namboodiri, Vinay P.

“…In this paper, we solve the problem of adapting classifiers across domains. We consider the problem of domain adaptation for multi-class classification where…”
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Uncertainty Quantification in Deep Learning Framework for Mallampati Classification by Mahato, Anuradha, Sarangi, Prateek, Kurmi, Vinod Kumar, Banerjee, Abhirup, Goyal, Abhishek, Basu, Tanmay

“…Mallampati classification is an indication to predict whether a patient might have crowded airways. According to the scale, there are four classes with…”
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Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation by Kumar, Shanu, Kurmi, Vinod Kumar, Singh, Praphul, Namboodiri, Vinay P

“…Understanding unsupervised domain adaptation has been an important task that has been well explored. However, the wide variety of methods have not analyzed the…”
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Looking back at Labels: A Class based Domain Adaptation Technique by Kurmi, Vinod Kumar, Namboodiri, Vinay P

“…In this paper, we solve the problem of adapting classifiers across domains. We consider the problem of domain adaptation for multi-class classification where…”
Get full text

Attending to Discriminative Certainty for Domain Adaptation by Kurmi, Vinod Kumar, Kumar, Shanu, Namboodiri, Vinay P

“…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…”
Get full text

Curriculum based Dropout Discriminator for Domain Adaptation by Kurmi, Vinod Kumar, Bajaj, Vipul, Subramanian, Venkatesh K, Namboodiri, Vinay P

“…Domain adaptation is essential to enable wide usage of deep learning based networks trained using large labeled datasets. Adversarial learning based techniques…”
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