Ishan Jindal  Ishan Jindal photo         

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AI Resident
Almaden Research Center, San Jose, CA, USA



Tensor matched kronecker-structured subspace detection for missing information
Ishan Jindal, Matthew Nokleby
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3452--3456

An Effective Label Noise Model for DNN Text Classification
Ishan Jindal, Daniel Pressel, Brian Lester, Matthew Nokleby
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 3246--3256

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels
Ishan Jindal, Matthew Nokleby, Daniel Pressel
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 64--72, 2019


Classification and representation via separable subspaces: Performance limits and algorithms
Ishan Jindal, Matthew Nokleby
IEEE Journal of Selected Topics in Signal Processing 12(5), 1015--1030, IEEE, 2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining
Ishan Jindal, Zhiwei Tony Qin, Xuewen Chen, Matthew Nokleby, Jieping Ye
2018 IEEE International Conference on Big Data (Big Data), pp. 1417--1426


Fast and compact Kronecker-structured dictionary learning for classification and representation
Ishan Jindal, Matthew Nokleby
2017 51st Asilomar Conference on Signals, Systems, and Computers, pp. 200--204

Performance limits on the classification of Kronecker-structured models
Ishan Jindal, Matthew Nokleby
2017 IEEE International Symposium on Information Theory (ISIT), pp. 1998--2002


Learning deep networks from noisy labels with dropout regularization
Ishan Jindal, Matthew Nokleby, Xuewen Chen
2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 967--972

Dynamic scene classification using convolutional neural networks
Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1255--1259