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Learning Global Transparent Models from Local Contrastive Explanations


Feb 19, 2020
Tejaswini Pedapati, Avinash Balakrishnan, Karthikeyan Shanmugam, Amit Dhurandhar


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Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks


Nov 22, 2019
Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue


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Model Agnostic Contrastive Explanations for Structured Data


May 31, 2019
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri


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Word Mover's Embedding: From Word2Vec to Document Embedding


Oct 30, 2018
Lingfei Wu, Ian E. H. Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock

* EMNLP'18 Camera-Ready Version 

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Incorporating Behavioral Constraints in Online AI Systems


Sep 15, 2018
Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi

* 9 pages, 6 figures 

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Variational Inference of Disentangled Latent Concepts from Unlabeled Observations


Nov 07, 2017
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan

* added more related work 

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