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20172023
most citedAttentive Recurrent Comparators

77 citations · 129 across the 18 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021

CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India

Ambedkar Dukkipati, Tony Gracious, Shubham Gupta

Lockdowns are one of the most effective measures for containing the spread of a pandemic. Unfortunately, they involve a heavy financial and emotional toll on the population that of…

cs.LG2021★ 4 cited

Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions

Shubham Gupta, Ambedkar Dukkipati

Spectral clustering is popular among practitioners and theoreticians alike. While performance guarantees for spectral clustering are well understood, recent studies have focused on…

cs.CV2021★ 7 cited

End-to-End Attention-based Image Captioning

Carola Sundaramoorthy, Lin Ziwen Kelvin, Mahak Sarin +1

In this paper, we address the problem of image captioning specifically for molecular translation where the result would be a predicted chemical notation in InChI format for a given…

cs.LG2021

Pure Exploration with Structured Preference Feedback

Shubham Gupta, Aadirupa Saha, Sumeet Katariya

We consider the problem of pure exploration with subset-wise preference feedback, which contains arms with features. The learner is allowed to query subsets of size and rec…

cs.CL2021★ 5 cited

Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation

Rishi Hazra, Parag Dutta, Shubham Gupta +2

While deep learning is a powerful tool for natural language processing (NLP) problems, successful solutions to these problems rely heavily on large amounts of annotated samples. Ho…