Ishan Jindal

According to our database, Ishan Jindal authored at least 24 papers between 2015 and 2023.

Collaborative distances:

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

2023

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.

Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang

CoRR, 2023

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.

Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Abstractive Open Information Extraction.

Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation.

Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications.

Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Label Definitions Improve Semantic Role Labeling.

Li Zhang, Ishan Jindal, Yunyao Li

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Universal Proposition Bank 2.0.

Ishan Jindal, Alexandre Rademaker, Michal Ulewicz, Ha Linh, Huyen Nguyen, Khoi-Nguyen Tran, Huaiyu Zhu, Yunyao Li

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

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

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 H. 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, Tanya Goyal, 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, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

2020

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.

Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li

CoRR, 2020

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

Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

An Effective Label Noise Model for DNN Text Classification.

Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tensor Matched Kronecker-structured Subspace Detection for Missing Information.

Ishan Jindal, Matthew S. Nokleby

Proceedings of the IEEE International Conference on Acoustics, 2019

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.

Ishan Jindal, Matthew S. Nokleby, Daniel Pressel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Classification and Representation via Separable Subspaces: Performance Limits and Algorithms.

Ishan Jindal, Matthew S. Nokleby

IEEE J. Sel. Top. Signal Process., 2018

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

Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

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

Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye

CoRR, 2017

Performance limits on the classification of Kronecker-structured models.

Ishan Jindal, Matthew S. Nokleby

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Fast and compact Kronecker-structured dictionary learning for classification and representation.

Ishan Jindal, Matthew S. Nokleby

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Learning Deep Networks from Noisy Labels with Dropout Regularization.

Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Dynamic scene classification using convolutional neural networks.

Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Effective Object Tracking in Unstructured Crowd Scenes.

Ishan Jindal, Shanmuganathan Raman

CoRR, 2015

SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks.

Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman

CoRR, 2015

Semantic description of a video using representative frames.

Ishan Jindal, Shanmuganathan Raman

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015