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Leveraging Extracted Model Adversaries for Improved Black Box Attacks

Nov 02, 2020
Naveen Jafer Nizar, Ari Kobren

* Analyzing and interpreting neural networks for NLP, 2020 

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Scalable Hierarchical Clustering with Tree Grafting

Dec 31, 2019
Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum

* 23 pages (appendix included), published at KDD 2019 

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Optimal Transport-based Alignment of Learned Character Representations for String Similarity

Jul 23, 2019
Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum

* ACL Long Paper 

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Supervised Hierarchical Clustering with Exponential Linkage

Jun 19, 2019
Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum

* Appears in ICML 2019 

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Constructing High Precision Knowledge Bases with Subjective and Factual Attributes

Jun 13, 2019
Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore

* Appears at KDD 2019 Applied Data Science Track, 19 pages 

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An Online Hierarchical Algorithm for Extreme Clustering

Apr 06, 2017
Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum

* 20 pages. Code available here: 

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