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NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation


Dec 06, 2021
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, M. Yee, Jing Zhang, Yue Zhang

* 39 pages, repository at https://github.com/GEM-benchmark/NL-Augmenter 

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OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis


Oct 07, 2021
Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain


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Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation


Nov 29, 2020
Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li


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CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling


Nov 09, 2020
Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu

* EMNLP 2020, ACL Findings 

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An Effective Label Noise Model for DNN Text Classification


Mar 18, 2019
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby

* Accepted at NAACL-HLT 2019 Main Conference Long paper 

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Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining


Nov 11, 2018
Ishan Jindal, Zhiwei Qin, Xuewen Chen, Matthew Nokleby, Jieping Ye

* Accepted at IEEE International Conference on Big Data 2018. arXiv admin note: text overlap with arXiv:1710.04350 

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Tensor Matched Kronecker-Structured Subspace Detection for Missing Information


Oct 25, 2018
Ishan Jindal, Matthew Nokleby


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Classification and Representation via Separable Subspaces: Performance Limits and Algorithms


Dec 29, 2017
Ishan Jindal, Matthew Nokleby

* IEEE Journal of Selected Topics in Signal Processing ( Volume: 12 , Issue: 5 , Oct. 2018 ) 
* This paper is submitted to IEEE JSTSP Special Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing 2018 

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A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip


Oct 12, 2017
Ishan Jindal, Tony, Qin, Xuewen Chen, Matthew Nokleby, Jieping Ye


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Learning Deep Networks from Noisy Labels with Dropout Regularization


May 09, 2017
Ishan Jindal, Matthew Nokleby, Xuewen Chen

* Published at 2016 IEEE 16th International Conference on Data Mining 

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