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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
1972016
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
712017
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
562018
An Effective Label Noise Model for DNN Text Classification
I Jindal, D Pressel, B Lester, M Nokleby
NAACL-HLT 2019, 2019
422019
Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
332021
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
132016
SA-CNN: Dynamic scene classification using convolutional neural networks
A Gangopadhyay, SM Tripathi, I Jindal, S Raman
arXiv preprint arXiv:1502.05243, 2015
122015
Echocardiographic image denoising using extreme total variation bilateral filter
N Biradar, ML Dewal, MK Rohit, I Jindal
Optik 127 (1), 30-38, 2016
112016
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
92021
Deep reinforcement learning for optimizing carpooling policies
I Jindal, Z Qin, X Chen, M Nokleby, J Ye
US Patent App. 15/970,425, 2019
92019
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
72020
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
62019
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
32022
Performance limits on the classification of Kronecker-structured models
I Jindal, M Nokleby
2017 IEEE International Symposium on Information Theory (ISIT), 1998-2002, 2017
32017
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
22022
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
22022
Tensor matched kronecker-structured subspace detection for missing information
I Jindal, M Nokleby
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
22019
Classification and representation via separable subspaces: Performance limits and algorithms
I Jindal, M Nokleby
IEEE Journal of Selected Topics in Signal Processing 12 (5), 1015-1030, 2018
22018
Fast and compact Kronecker-structured dictionary learning for classification and representation
I Jindal, M Nokleby
2017 51st Asilomar Conference on Signals, Systems, and Computers, 200-204, 2017
22017
System and method for estimating travel time and distance
I Jindal, Z Qin, X Chen
US Patent 11,536,582, 2022
12022
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Articles 1–20