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20112026
most citedDeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents

68 citations · 185 across the 18 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CL2017★ 6 cited

DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging

Sheng Chen, Akshay Soni, Aasish Pappu +1

Tagging news articles or blog posts with relevant tags from a collection of predefined ones is coined as document tagging in this work. Accurate tagging of articles can benefit sev…

cs.AI2017

Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem

Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad +1

The content ranking problem in a social news website, is typically a function that maximizes a scalar metric of interest like dwell-time. However, like in most real-world applicati…

stat.ML2017

Rank-to-engage: New Listwise Approaches to Maximize Engagement

Swayambhoo Jain, Akshay Soni, Nikolay Laptev +1

For many internet businesses, presenting a given list of items in an order that maximizes a certain metric of interest (e.g., click-through-rate, average engagement time etc.) is c…

math.OC2017★ 1 cited

Online Ranking with Constraints: A Primal-Dual Algorithm and Applications to Web Traffic-Shaping

Parikshit Shah, Akshay Soni, Troy Chevalier

We study the online constrained ranking problem motivated by an application to web-traffic shaping: an online stream of sessions arrive in which, within each session, we are asked…

cs.IR2017★ 2 cited

RIPML: A Restricted Isometry Property based Approach to Multilabel Learning

Akshay Soni, Yashar Mehdad

The multilabel learning problem with large number of labels, features, and data-points has generated a tremendous interest recently. A recurring theme of these problems is that onl…