Anurag Dwarakanath

According to our database, Anurag Dwarakanath authored at least 17 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

CoRR, 2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Under Label Noise for Robust Spoken Language Understanding systems.

Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Multi-task pre-finetuning for zero-shot cross lingual transfer.

Moukthika Yerramilli, Pritam Varma, Anurag Dwarakanath

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

Training data reduction for multilingual Spoken Language Understanding systems.

Anmol Bansal, Anjali Shenoy, Krishna Chaitanya Pappu, Kay Rottmann, Anurag Dwarakanath

Proceedings of the 18th International Conference on Natural Language Processing (ICON 2021), National Institute of Technology Silchar, Silchar, India, December 16, 2021

2019

Metamorphic testing of a deep learning based forecaster.

Anurag Dwarakanath, Manish Ahuja, Sanjay Podder, Silja Vinu, Arijit Naskar, Koushik MV

Proceedings of the 4th International Workshop on Metamorphic Testing, 2019

2018

Machines that test Software like Humans.

Anurag Dwarakanath, Neville Dubash, Sanjay Podder

CoRR, 2018

Identifying implementation bugs in machine learning based image classifiers using metamorphic testing.

Anurag Dwarakanath, Manish Ahuja, Samarth Sikand, Raghotham M. Rao, R. P. Jagadeesh Chandra Bose, Neville Dubash, Sanjay Podder

Proceedings of the 27th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2018

2017

Detecting Vague Words & Phrases in Requirements Documents in a Multilingual Environment.

Breno Dantas Cruz, Bargav Jayaraman, Anurag Dwarakanath, Collin McMillan

Proceedings of the 25th IEEE International Requirements Engineering Conference, 2017

Accelerating Test Automation through a Domain Specific Language.

Anurag Dwarakanath, Dipin Era, Aditya Priyadarshi, Neville Dubash, Sanjay Podder

Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

2016

Trustworthiness in enterprise crowdsourcing: a taxonomy & evidence from data.

Anurag Dwarakanath, N. C. Shrikanth, Kumar Abhinav, Alex Kass

Proceedings of the 38th International Conference on Software Engineering, 2016

Dynamics of Software Development Crowdsourcing.

Alpana Dubey, Kumar Abhinav, Sakshi Taneja, Gurdeep Virdi, Anurag Dwarakanath, Alex Kass, Mani Suma Kuriakose

Proceedings of the 11th IEEE International Conference on Global Software Engineering, 2016

2015

Crowd Build: A Methodology for Enterprise Software Development Using Crowdsourcing.

Anurag Dwarakanath, Upendra Chintala, N. C. Shrikanth, Gurdeep Virdi, Alex Kass, Anitha Chandran, Shubhashis Sengupta, Sanjoy Paul

Proceedings of the 2nd IEEE/ACM International Workshop on CrowdSourcing in Software Engineering, 2015

Simulation of Consensus Based Approaches to Mitigate the Challenges in Crowdsourcing.

Kumar Abhinav, N. C. Shrikanth, Anurag Dwarakanath

Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015

2014

Minimum Number of Test Paths for Prime Path and Other Structural Coverage Criteria.

Anurag Dwarakanath, Aruna Jankiti

Proceedings of the Testing Software and Systems, 2014

2013

Automatic extraction of glossary terms from natural language requirements.

Anurag Dwarakanath, Roshni R. Ramnani, Shubhashis Sengupta

Proceedings of the 21st IEEE International Requirements Engineering Conference, 2013

2012

Litmus: Generation of Test Cases from Functional Requirements in Natural Language.

Anurag Dwarakanath, Shubhashis Sengupta

Proceedings of the Natural Language Processing and Information Systems, 2012