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Narayanan C. Krishnan
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Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks


Oct 21, 2021
Abhishek Singh Sambyal, Narayanan C. Krishnan, Deepti R. Bathula

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Efficient Algorithms For Fair Clustering with a New Fairness Notion


Sep 03, 2021
Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

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* 27 Pages, 8 Figures, 1 Table 
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Deep Geospatial Interpolation Networks


Aug 15, 2021
Sumit Kumar Varshney, Jeetu Kumar, Aditya Tiwari, Rishabh Singh, Venkata M. V. Gunturi, Narayanan C. Krishnan

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Task Attended Meta-Learning for Few-Shot Learning


Jun 20, 2021
Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan

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Pho(SC)Net: An Approach Towards Zero-shot Word Image Recognition in Historical Documents


May 31, 2021
Anuj Rai, Narayanan C. Krishnan, Sukalpa Chanda

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* Published at 16th International Conference on Document Analysis and Recognition (ICDAR 2021) 
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Characterizing GAN Convergence Through Proximal Duality Gap


May 11, 2021
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan

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Stress Testing of Meta-learning Approaches for Few-shot Learning


Jan 21, 2021
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan

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On Duality Gap as a Measure for Monitoring GAN Training


Dec 12, 2020
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan

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Wheat Crop Yield Prediction Using Deep LSTM Model


Nov 03, 2020
Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan

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Implicit Discriminator in Variational Autoencoder


Sep 28, 2019
Prateek Munjal, Akanksha Paul, Narayanan C. Krishnan

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