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Ishan Jindal
Ishan Jindal
IBM Research
Verified email at wayne.edu - Homepage
Title
Cited by
Cited by
Year
Learning deep networks from noisy labels with dropout regularization
I Jindal, M Nokleby, X Chen
2016 IEEE 16th International Conference on Data Mining (ICDM), 967-972, 2016
2302016
A unified neural network approach for estimating travel time and distance for a taxi trip
I Jindal, X Chen, M Nokleby, J Ye
arXiv preprint arXiv:1710.04350, 2017
942017
Optimizing taxi carpool policies via reinforcement learning and spatio-temporal mining
I Jindal, ZT Qin, X Chen, M Nokleby, J Ye
2018 IEEE International Conference on Big Data (Big Data), 1417-1426, 2018
692018
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
Northern European Journal of Language Technology, 2021
662021
An Effective Label Noise Model for DNN Text Classification
I Jindal, D Pressel, B Lester, M Nokleby
NAACL-HLT 2019, 2019
482019
Universal proposition bank 2.0
I Jindal, A Rademaker, M Ulewicz, H Linh, H Nguyen, KN Tran, H Zhu, ...
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
182022
Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
Joniak, Denis Kleyko, Venelin Kovatchev, and et al, 2021
172021
SA-CNN: Dynamic scene classification using convolutional neural networks
A Gangopadhyay, SM Tripathi, I Jindal, S Raman
arXiv preprint arXiv:1502.05243, 2015
172015
Deep reinforcement learning for optimizing carpooling policies
I Jindal, Z Qin, X Chen, M Nokleby, J Ye
US Patent App. 15/970,425, 2019
152019
Dynamic scene classification using convolutional neural networks
A Gangopadhyay, SM Tripathi, I Jindal, S Raman
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
142016
Echocardiographic image denoising using extreme total variation bilateral filter
N Biradar, ML Dewal, MK Rohit, I Jindal
Optik 127 (1), 30-38, 2016
122016
Improved semantic role labeling using parameterized neighborhood memory adaptation
I Jindal, R Aharonov, S Brahma, H Zhu, Y Li
arXiv preprint arXiv:2011.14459, 2020
92020
Beyond labels: Empowering human annotators with natural language explanations through a novel active-learning architecture
B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, Y Li, ...
Findings of the Association for Computational Linguistics: EMNLP 2023, 11629 …, 2023
82023
A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.
I Jindal, MS Nokleby, D Pressel, X Chen
CVPR Workshops, 64-72, 2019
72019
Label definitions improve semantic role labeling
L Zhang, I Jindal, Y Li
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
62022
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
K Pei, I Jindal, KCC Chang, C Zhai, Y Li
ACL 2023, 2023
52023
Meaning representations for natural languages: Design, models and applications
J Flanigan, I Jindal, Y Li, T O’Gorman, M Palmer, N Xue
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
42022
Beyond labels: Empowering human with natural language explanations through a novel active-learning architecture
B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, ...
arXiv preprint arXiv:2305.12710, 2023
32023
System and method for estimating travel time and distance
I Jindal, Z Qin, X Chen
US Patent 11,536,582, 2022
32022
A comparative analysis between human-in-the-loop systems and large language models for pattern extraction tasks
M Hanafi, Y Katsis, I Jindal, L Popa
Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop …, 2022
32022
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