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Mayank Singh

Indian Institute of Technology Gandhinagar

Data Instance Prior for Transfer Learning in GANs

Dec 08, 2020
Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N Balasubramanian, Balaji Krishnamurthy


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CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

Nov 30, 2020
Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh

* 4 pages, 7 figures, The associated system can be accessed at http://covidexplorer.in, To be published in the Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20) (October 19-23, 2020)(Virtual Event, Ireland) 
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LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Oct 19, 2020
Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy

* Accepted at WACV2021 
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Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections

Sep 23, 2020
Nidhin Harilal, Udit Bhatia, Mayank Singh


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Bollyrics: Automatic Lyrics Generator for Romanised Hindi

Jul 25, 2020
Naman Jain, Ankush Chauhan, Atharva Chewale, Ojas Mithbavkar, Ujjaval Shah, Mayank Singh

* Submitted to NLP4MusA Workshop, ISMIR'2020 
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Identification, Tracking and Impact: Understanding the trade secret of catchphrases

Jul 20, 2020
Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee

* To be published in the proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020) 
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IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection

Jun 26, 2020
Vivek Srivastava, Mayank Singh


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SEAL: Scientific Keyphrase Extraction and Classification

Jun 05, 2020
Ayush Garg, Sammed Shantinath Kagi, Mayank Singh

* Accepted at JCDL 2020 
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On the Benefits of Models with Perceptually-Aligned Gradients

May 04, 2020
Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh

* Accepted at ICLR 2020 Workshop: Towards Trustworthy ML 
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PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation

Apr 20, 2020
Vivek Srivastava, Mayank Singh


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On the Benefits of Attributional Robustness

Dec 10, 2019
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy


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A Method for Computing Class-wise Universal Adversarial Perturbations

Dec 01, 2019
Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy


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Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification

Nov 23, 2019
Pratik Kayal, Mayank Singh, Pawan Goyal

* 5 Pages, 3 tables 
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Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Aug 07, 2019
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N Balasubramanian, Balaji Krishnamurthy


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Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

May 13, 2019
Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, V N Balasubramanian

* Accepted at IJCAI 2019 
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Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space

Jan 03, 2018
Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy


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AppTechMiner: Mining Applications and Techniques from Scientific Articles

Nov 10, 2017
Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee

* JCDL 2017, 6th International Workshop on Mining Scientific Publications. arXiv admin note: substantial text overlap with arXiv:1608.06386 
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Which techniques does your application use?: An information extraction framework for scientific articles

Aug 23, 2016
Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee


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