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Mahesh Subedar

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Improving Robustness and Efficiency in Active Learning with Contrastive Loss

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Sep 13, 2021
Ranganath Krishnan, Nilesh Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

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Mitigating Sampling Bias and Improving Robustness in Active Learning

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Sep 13, 2021
Ranganath Krishnan, Alok Sinha, Nilesh Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer

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Partially-supervised novel object captioning leveraging context from paired data

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Sep 10, 2021
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

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Data augmentation to improve robustness of image captioning solutions

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Jun 10, 2021
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

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B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning

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Apr 06, 2020
Shashank Bujimalla, Mahesh Subedar, Omesh Tickoo

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Deep Probabilistic Models to Detect Data Poisoning Attacks

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Dec 03, 2019
Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo

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MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks

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Jun 12, 2019
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

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BAR: Bayesian Activity Recognition using variational inference

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Dec 01, 2018
Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

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Uncertainty aware multimodal activity recognition with Bayesian inference

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Nov 27, 2018
Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer, Omesh Tickoo, Jonathan Huang

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