2022
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| 19. | Narendra Babu Unnam; Krishna Reddy P; Amit Pandey; Naresh Manwani Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings Conference Forthcoming 34th International Conference on Scientific and Statistical Database Management (SSDBM), Forthcoming. BibTeX @conference{Narendra2022,
title = {Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings},
author = {Narendra Babu Unnam and P Krishna Reddy and Amit Pandey and Naresh Manwani},
year = {2022},
date = {2022-07-08},
booktitle = {34th International Conference on Scientific and Statistical Database Management (SSDBM)},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 18. | Mudit Agarwal; Naresh Manwani ALBIF: Active Learning with BandIt Feedbacks Conference 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022. BibTeX @conference{Mudit2022,
title = {ALBIF: Active Learning with BandIt Feedbacks},
author = {Mudit Agarwal and Naresh Manwani},
year = {2022},
date = {2022-05-19},
booktitle = {26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
| 17. | Sreenivasan Mohandas; Naresh Manwani; Durga Prasad Dhulipudi Momentum Iterative Gradient Sign Method outperforms PGD Attacks Conference 14th International Conference on Agents and Artificial Intelligence (ICAART), 2022. BibTeX @conference{Srenivasan2022,
title = {Momentum Iterative Gradient Sign Method outperforms PGD Attacks},
author = {Sreenivasan Mohandas and Naresh Manwani and Durga Prasad Dhulipudi},
year = {2022},
date = {2022-02-05},
booktitle = {14th International Conference on Agents and Artificial Intelligence (ICAART)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2021
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| 16. | Gaurav Batra; Naresh Manwani Multiclass Classification using Dilute Bandit Feedback Conference Forthcoming PRICAI 2021, Forthcoming. BibTeX @conference{Gaurav2021,
title = {Multiclass Classification using Dilute Bandit Feedback},
author = {Gaurav Batra and Naresh Manwani},
year = {2021},
date = {2021-11-12},
booktitle = {PRICAI 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 15. | Sarath Sivaprasad; Ankur Singh; Naresh Manwani; Vineet Gandhi The Curious Case of Convex Networks Conference Forthcoming ECML 2021, Forthcoming. BibTeX @conference{Sarath-et-al-2021,
title = {The Curious Case of Convex Networks},
author = {Sarath Sivaprasad and Ankur Singh and Naresh Manwani and Vineet Gandhi},
year = {2021},
date = {2021-09-17},
booktitle = {ECML 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 14. | Bhavya Kalra; Naresh Manwani RISAN: Robust Instance Specific Deep Abstention Network Conference Forthcoming UAI 2021, Forthcoming. BibTeX @conference{Bhavya-Naresh2021,
title = {RISAN: Robust Instance Specific Deep Abstention Network},
author = {Bhavya Kalra and Naresh Manwani},
year = {2021},
date = {2021-07-29},
booktitle = {UAI 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 13. | Mudit Agarwal; Naresh Manwani Learning Multiclass Classifier Under Noisy Bandit Feedback Conference Forthcoming PAKDD 2021, Forthcoming. BibTeX @conference{Mudit2021,
title = {Learning Multiclass Classifier Under Noisy Bandit Feedback},
author = {Mudit Agarwal and Naresh Manwani},
year = {2021},
date = {2021-05-15},
booktitle = {PAKDD 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 12. | Bhavya Kalra; Sai Krishna Munnangi; Kushal Majmundar; Naresh Manwani; Praveen Paruchuri Cooperative Monitoring of Malicious Activity in Stock Exchanges Workshop Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021, 2021. BibTeX @workshop{Bhavya-et.-al-2021,
title = {Cooperative Monitoring of Malicious Activity in Stock Exchanges},
author = {Bhavya Kalra and Sai Krishna Munnangi and Kushal Majmundar and Naresh Manwani and Praveen Paruchuri},
year = {2021},
date = {2021-05-15},
booktitle = {Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}
|
| 11. | Maanik Arora; Naresh Manwani Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels Conference Forthcoming CoDS-COMAD 2021, Forthcoming. BibTeX @conference{Maanik2021_CODS-COMAD,
title = {Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels},
author = {Maanik Arora and Naresh Manwani},
year = {2021},
date = {2021-01-10},
booktitle = {CoDS-COMAD 2021},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
2020
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| 10. | Bhanu Garg; Naresh Manwani Robust Deep Ordinal Regression under Label Noise Conference ACML 2020, 2020. Links | BibTeX @conference{Bhanu2020_ACML,
title = {Robust Deep Ordinal Regression under Label Noise},
author = {Bhanu Garg and Naresh Manwani},
url = {http://proceedings.mlr.press/v129/garg20a.html},
year = {2020},
date = {2020-11-30},
booktitle = {ACML 2020},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
| 9. | Maanik Arora; Naresh Manwani Exact Passive Aggressive Algorithm for Multiclass Classification Using Bandit Feedbacks Conference ACML 2020, 2020. Links | BibTeX @conference{Maanik2020_ACML,
title = {Exact Passive Aggressive Algorithm for Multiclass Classification Using Bandit Feedbacks},
author = {Maanik Arora and Naresh Manwani},
url = {http://proceedings.mlr.press/v129/arora20a.html},
year = {2020},
date = {2020-11-30},
booktitle = {ACML 2020},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
| 8. | Rajarshi Bhattacharjee; Naresh Manwani Online Algorithms for Multiclass Classification using Partial Labels Conference PAKDD 2020, 2020. Links | BibTeX @inproceedings{Rajarshi2020,
title = {Online Algorithms for Multiclass Classification using Partial Labels},
author = {Rajarshi Bhattacharjee and Naresh Manwani},
url = {https://arxiv.org/abs/1912.11367},
year = {2020},
date = {2020-05-14},
booktitle = {PAKDD 2020},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 7. | Naresh Manwani; Mohit Chandra Exact Passive Aggressive Learning of Ordinal Regression Using Interval Labels Journal Article IEEE Transactions on Neural Networks and Learning Systems (NNLS), 2020. Links | BibTeX @article{Naresh_NNLS2020,
title = {Exact Passive Aggressive Learning of Ordinal Regression Using Interval Labels},
author = {Naresh Manwani and Mohit Chandra},
url = {https://ieeexplore.ieee.org/document/8867949},
year = {2020},
date = {2020-02-29},
journal = {IEEE Transactions on Neural Networks and Learning Systems (NNLS)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 6. | Kulin Shah; Naresh Manwani Online Active Learning of Reject Option Classifiers Conference Forthcoming AAAI, AAAI Press, Forthcoming. Links | BibTeX @conference{Kulin2020,
title = {Online Active Learning of Reject Option Classifiers},
author = {Kulin Shah and Naresh Manwani},
url = {https://arxiv.org/abs/1906.06166},
year = {2020},
date = {2020-02-07},
booktitle = {AAAI},
publisher = {AAAI Press},
keywords = {},
pubstate = {forthcoming},
tppubtype = {conference}
}
|
| 5. | Himanshu Kumar; Naresh Manwani; Sastry P S Robust Learning of Multi-Label Classifiers under Label Noise Conference ACM India Joint International Conference on Data Science & Management of Data, 2020. Abstract | Links | BibTeX @conference{Himanshu_CoDS2020,
title = {Robust Learning of Multi-Label Classifiers under Label Noise},
author = {Himanshu Kumar and Naresh Manwani and P.S. Sastry},
doi = {https://doi.org/10.1145/3371158.3371169},
year = {2020},
date = {2020-01-07},
booktitle = {ACM India Joint International Conference on Data Science & Management of Data},
pages = {90-97},
abstract = {In this paper, we address the problem of robust learning of multi-label classifiers when the training data has label noise. We consider learning algorithms in the risk-minimization framework. We define what we call symmetric label noise in multi-label settings which is a useful noise model for many random errors in the labeling of data. We prove that risk minimization is robust to symmetric label noise if the loss function satisfies some conditions. We show that Hamming loss and a surrogate of Hamming loss satisfy these sufficient conditions and hence are robust. By learning feedforward neural networks on some benchmark multi-label datasets, we provide empirical evidence to illustrate our theoretical results on the robust learning of multi-label classifiers under label noise.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper, we address the problem of robust learning of multi-label classifiers when the training data has label noise. We consider learning algorithms in the risk-minimization framework. We define what we call symmetric label noise in multi-label settings which is a useful noise model for many random errors in the labeling of data. We prove that risk minimization is robust to symmetric label noise if the loss function satisfies some conditions. We show that Hamming loss and a surrogate of Hamming loss satisfy these sufficient conditions and hence are robust. By learning feedforward neural networks on some benchmark multi-label datasets, we provide empirical evidence to illustrate our theoretical results on the robust learning of multi-label classifiers under label noise. |
2019
|
| 4. | Kulin Shah; Naresh Manwani Sparse Reject Option Classifier Using Successive Linear Programming Conference AAAI, pp. 4870–4877, AAAI Press, 2019. BibTeX @inproceedings{DBLP:conf/aaai/ShahM19,
title = {Sparse Reject Option Classifier Using Successive Linear Programming},
author = {Kulin Shah and Naresh Manwani},
year = {2019},
date = {2019-01-01},
booktitle = {AAAI},
pages = {4870--4877},
publisher = {AAAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
| 3. | Naresh Manwani PRIL: Perceptron Ranking Using Interval Labels Conference COMAD/CODS, pp. 78–85, ACM, 2019. BibTeX @inproceedings{DBLP:conf/comad/Manwani19,
title = {PRIL: Perceptron Ranking Using Interval Labels},
author = {Naresh Manwani},
year = {2019},
date = {2019-01-01},
booktitle = {COMAD/CODS},
pages = {78--85},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2018
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| 2. | Subba Reddy Oota; Naresh Manwani; Raju Bapi S fMRI Semantic Category Decoding Using Linguistic Encoding of Word
Embeddings Conference ICONIP (3), pp. 3–15, Springer, 2018. BibTeX @inproceedings{DBLP:conf/iconip/OotaMB18,
title = {fMRI Semantic Category Decoding Using Linguistic Encoding of Word
Embeddings},
author = {Subba Reddy Oota and Naresh Manwani and Raju S Bapi},
year = {2018},
date = {2018-01-01},
booktitle = {ICONIP (3)},
volume = {11303},
pages = {3--15},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
|
| 1. | Aritra Ghosh; Naresh Manwani; Sastry P S On the Robustness of Decision Tree Learning Under Label Noise Conference PAKDD (1), pp. 685–697, 2017. BibTeX @inproceedings{DBLP:conf/pakdd/GhoshMS17,
title = {On the Robustness of Decision Tree Learning Under Label Noise},
author = {Aritra Ghosh and Naresh Manwani and P S Sastry},
year = {2017},
date = {2017-01-01},
booktitle = {PAKDD (1)},
volume = {10234},
pages = {685--697},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
