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An Efficient DP-SGD Mechanism for Large Scale NLP Models

Jul 14, 2021
Christophe Dupuy, Radhika Arava, Rahul Gupta, Anna Rumshisky

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Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

Jun 21, 2021
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang

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ADePT: Auto-encoder based Differentially Private Text Transformation

Jan 29, 2021
Satyapriya Krishna, Rahul Gupta, Christophe Dupuy

* The 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 

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ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification

Jan 28, 2021
Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien delichy, Aman Alok, Rahul Gupta

* Accepted at IEEE Spoken Language Technology Workshop 2021 

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BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Jan 27, 2021
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta

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Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks

Oct 08, 2020
Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta

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Phase Transition Behavior in Knowledge Compilation

Jul 20, 2020
Rahul Gupta, Subhajit Roy, Kuldeep S. Meel

* This is full version of the conference paper published at International Conference on Principles and Practice of Constraint Programming 

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Automatic Discovery of Novel Intents & Domains from Text Utterances

May 22, 2020
Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar

* 11 pages, 5 figures 

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Towards classification parity across cohorts

May 16, 2020
Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu

* Published in ML-IRL ICLR 2020 workshop 

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Joint Multi-Dimensional Model for Global and Time-Series Annotations

May 06, 2020
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan

* 17 pages, 11 figures, currently in final rounds of review at IEEE Transactions of Affective Computing 

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Fast Intent Classification for Spoken Language Understanding

Dec 03, 2019
Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, Bill Campbell

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Modeling Feature Representations for Affective Speech using Generative Adversarial Networks

Oct 31, 2019
Saurabh Sahu, Rahul Gupta, Carol Espy-Wilson

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One-vs-All Models for Asynchronous Training: An Empirical Analysis

Jun 20, 2019
Rahul Gupta, Aman Alok, Shankar Ananthakrishnan

* 5 pages, Accepted to Interspeech 2019 

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Deep Learning for Bug-Localization in Student Programs

May 28, 2019
Rahul Gupta, Aditya Kanade, Shirish Shevade

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On evaluating CNN representations for low resource medical image classification

Mar 26, 2019
Taruna Agrawal, Rahul Gupta, Shrikanth Narayanan

* Accepted to ICASSP 2019 

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Data augmentation for low resource sentiment analysis using generative adversarial networks

Feb 18, 2019
Rahul Gupta

* Accepted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 

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A task in a suit and a tie: paraphrase generation with semantic augmentation

Oct 31, 2018
Su Wang, Rahul Gupta, Nancy Chang, Jason Baldridge

* Association for the Advancement of Artificial Intelligence (AAAI) 2019 

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A Re-ranker Scheme for Integrating Large Scale NLU models

Sep 25, 2018
Chengwei Su, Rahul Gupta, Shankar Ananthakrishnan, Spyros Matsoukas

* 7 pages, Accepted to IEEE SLT-2018 

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On Enhancing Speech Emotion Recognition using Generative Adversarial Networks

Jun 18, 2018
Saurabh Sahu, Rahul Gupta, Carol Espy-Wilson

* 5 pages, Accepted to Interspeech, Hyderabad-2018 

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Semi-supervised and Transfer learning approaches for low resource sentiment classification

Jun 07, 2018
Rahul Gupta, Saurabh Sahu, Carol Espy-Wilson, Shrikanth Narayanan

* 5 pages, Accepted to International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018 

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Adversarial Auto-encoders for Speech Based Emotion Recognition

Jun 06, 2018
Saurabh Sahu, Rahul Gupta, Ganesh Sivaraman, Wael AbdAlmageed, Carol Espy-Wilson

* 5 pages, INTERSPEECH 2017 August 20-24, 2017, Stockholm, Sweden 

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Deep Reinforcement Learning for Programming Language Correction

Jan 31, 2018
Rahul Gupta, Aditya Kanade, Shirish Shevade

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SLING: A framework for frame semantic parsing

Oct 19, 2017
Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira

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Inferring object rankings based on noisy pairwise comparisons from multiple annotators

Dec 13, 2016
Rahul Gupta, Shrikanth Narayanan

* 4 figures, includes appendix 

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Joint Structured Models for Extraction from Overlapping Sources

May 01, 2010
Rahul Gupta, Sunita Sarawagi

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Generalized Collective Inference with Symmetric Clique Potentials

Jul 07, 2009
Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan

* 30 pages 

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