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Adaptive Sample Selection for Robust Learning under Label Noise


Jul 27, 2021
Deep Patel, P. S. Sastry

* 19 pages, 7 figures, and 16 tables 

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Memorization in Deep Neural Networks: Does the Loss Function matter?


Jul 22, 2021
Deep Patel, P. S. Sastry

* Accepted at PAKDD 2021. 12 pages and 5 figures 

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PLUME: Polyhedral Learning Using Mixture of Experts


Apr 22, 2019
Kulin Shah, P. S. Sastry, Naresh Manwani


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Efficient Learning of Restricted Boltzmann Machines Using Covariance estimates


Oct 25, 2018
Vidyadhar Upadhya, P. S. Sastry


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Robust Loss Functions under Label Noise for Deep Neural Networks


Dec 27, 2017
Aritra Ghosh, Himanshu Kumar, P. S. Sastry

* Appeared in AAAI 2017 

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Learning RBM with a DC programming Approach


Oct 05, 2017
Vidyadhar Upadhya, P. S. Sastry

* Accepted in ACML2017 

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On the Robustness of Decision Tree Learning under Label Noise


Aug 26, 2016
Aritra Ghosh, Naresh Manwani, P. S. Sastry


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Empirical Analysis of Sampling Based Estimators for Evaluating RBMs


Oct 08, 2015
Vidyadhar Upadhya, P. S. Sastry

* edited version of this manuscript will appear in proceedings of International Conference on Neural Information Processing (ICONIP) 2015 

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Making Risk Minimization Tolerant to Label Noise


Sep 10, 2015
Aritra Ghosh, Naresh Manwani, P. S. Sastry


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Polyceptron: A Polyhedral Learning Algorithm


Mar 12, 2014
Naresh Manwani, P. S. Sastry


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K-Plane Regression


Mar 27, 2013
Naresh Manwani, P. S. Sastry


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Noise Tolerance under Risk Minimization


Oct 13, 2012
Naresh Manwani, P. S. Sastry


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Geometric Decision Tree


Oct 13, 2012
Naresh Manwani, P. S. Sastry

* IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics,2011 
* Licensed copy is available on IEEE website 

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A unified view of Automata-based algorithms for Frequent Episode Discovery


Jul 05, 2010
Avinash Achar, Srivatsan Laxman, P. S. Sastry


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Efficient Discovery of Large Synchronous Events in Neural Spike Streams


Jun 08, 2010
Raajay Viswanathan, P. S. Sastry, K. P. Unnikrishnan


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Discovering general partial orders in event streams


Dec 11, 2009
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry


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Temporal data mining for root-cause analysis of machine faults in automotive assembly lines


Apr 30, 2009
Srivatsan Laxman, Basel Shadid, P. S. Sastry, K. P. Unnikrishnan


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