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Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents


Aug 06, 2021
Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan

* Accepted to the Document Intelligence Workshop at KDD 2021. The source code of Genalog is available at https://github.com/microsoft/genalog 

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Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter


Oct 13, 2020
Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao

* 10 pages, 2 figures, 4 tables, CMAI workshop 2020 

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Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation


Jun 09, 2020
Liqun Shao, Sahitya Mantravadi, Tom Manzini, Alejandro Buendia, Manon Knoertzer, Soundar Srinivasan, Chris Quirk

* ACL Natural Language Interface Workshop 2020, short paper 

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Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift


Feb 10, 2020
Subhro Das, Prasanth Lade, Soundar Srinivasan

* 11 pages, 4 figures, 3 tables, 2016 NIPS Time Series Workshop 

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Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms


Aug 23, 2019
Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos


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Dealing with Class Imbalance using Thresholding


Jul 10, 2016
Charmgil Hong, Rumi Ghosh, Soundar Srinivasan


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