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ORCIDNaresh Manwani
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2020 – today
- 2024
[c29]Narendra Babu Unnam
, Krishna Reddy Polepalli, Amit Pandey, Naresh Manwani:
Text Representation Models based on the Spatial Distributional Properties of Word Embeddings. COMAD/CODS 2024: 603-604- [i23]Darshana Saravanan, Naresh Manwani, Vineet Gandhi:
SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning. CoRR abs/2402.04835 (2024) - 2023
- [c28]Sreenivasan Mohandas, Naresh Manwani:
Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images. ICAART (3) 2023: 140-145 - [c27]Naresh Manwani, Mudit Agarwal:
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. IJCNN 2023: 1-10 - [c26]Bhavya Kalra, Naresh Manwani:
CDAN: Cost Dependent Deep Abstention Network. PRICAI (2) 2023: 53-65 - [c25]Sreenivasan Mohandas, Naresh Manwani:
RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels. PRICAI (3) 2023: 384-395 - [i22]Samartha S. Maheshwara, Naresh Manwani:
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. CoRR abs/2303.02341 (2023) - 2022
- [c24]Samartha S. Maheshwara, Naresh Manwani:
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. ACML 2022: 706-721 - [c23]Sreenivasan Mohandas, Naresh Manwani, Durga Prasad Dhulipudi:
Momentum Iterative Gradient Sign Method Outperforms PGD Attacks. ICAART (3) 2022: 913-916 - [c22]Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar:
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. KDD 2022: 4814-4815 - [c21]Mudit Agarwal, Naresh Manwani:
ALBIF: Active Learning with BandIt Feedbacks. PAKDD (3) 2022: 353-364 - [c20]Narendra Babu Unnam, P. Krishna Reddy, Amit Pandey, Naresh Manwani:
Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. SSDBM 2022: 2:1-2:12 - [i21]Naresh Manwani, Mudit Agarwal:
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. CoRR abs/2205.08234 (2022) - 2021
- [c19]Maanik Arora, Naresh Manwani:
Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. COMAD/CODS 2021: 38-46 - [c18]Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri:
Cooperative Monitoring of Malicious Activity in Stock Exchanges. PAKDD (Workshops) 2021: 121-132 - [c17]Mudit Agarwal, Naresh Manwani:
Learning Multiclass Classifier Under Noisy Bandit Feedback. PAKDD (2) 2021: 448-460 - [c16]Sarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi:
The Curious Case of Convex Neural Networks. ECML/PKDD (1) 2021: 738-754 - [c15]Gaurav Batra, Naresh Manwani:
Multiclass Classification Using Dilute Bandit Feedback. PRICAI (1) 2021: 63-75 - [c14]Bhavya Kalra, Kulin Shah, Naresh Manwani:
RISAN: Robust instance specific deep abstention network. UAI 2021: 1525-1534 - [i20]Gaurav Batra, Naresh Manwani:
Multiclass Classification using dilute bandit feedback. CoRR abs/2105.08093 (2021) - [i19]Bhavya Kalra, Kulin Shah, Naresh Manwani:
RISAN: Robust Instance Specific Abstention Network. CoRR abs/2107.03090 (2021) - 2020
- [j6]Naresh Manwani, Mohit Chandra:
Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3259-3268 (2020) - [c13]Kulin Shah, Naresh Manwani:
Online Active Learning of Reject Option Classifiers. AAAI 2020: 5652-5659 - [c12]Maanik Arora, Naresh Manwani:
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. ACML 2020: 369-384 - [c11]Bhanu Garg, Naresh Manwani:
Robust Deep Ordinal Regression under Label Noise. ACML 2020: 782-796 - [c10]Himanshu Kumar, Naresh Manwani, P. S. Sastry:
Robust Learning of Multi-Label Classifiers under Label Noise. COMAD/CODS 2020: 90-97 - [c9]Rajarshi Bhattacharjee, Naresh Manwani:
Online Algorithms for Multiclass Classification Using Partial Labels. PAKDD (1) 2020: 249-260 - [i18]Mudit Agarwal, Naresh Manwani:
Learning Multiclass Classifier Under Noisy Bandit Feedback. CoRR abs/2006.03545 (2020) - [i17]Sarath Sivaprasad, Naresh Manwani, Vineet Gandhi:
The Curious Case of Convex Networks. CoRR abs/2006.05103 (2020)
2010 – 2019
- 2019
- [c8]Kulin Shah, Naresh Manwani:
Sparse Reject Option Classifier Using Successive Linear Programming. AAAI 2019: 4870-4877 - [c7]Naresh Manwani:
PRIL: Perceptron Ranking Using Interval Labels. COMAD/CODS 2019: 78-85 - [i16]Kulin Shah, P. S. Sastry, Naresh Manwani:
PLUME: Polyhedral Learning Using Mixture of Experts. CoRR abs/1904.09948 (2019) - [i15]Kulin Shah, Naresh Manwani:
Online Active Learning of Reject Option Classifiers. CoRR abs/1906.06166 (2019) - [i14]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR abs/1909.12299 (2019) - [i13]Bhanu Garg, Naresh Manwani:
Robust Deep Ordinal Regression Under Label Noise. CoRR abs/1912.03488 (2019) - [i12]Rajarshi Bhattacharjee, Naresh Manwani:
Online Algorithms for Multiclass Classification using Partial Labels. CoRR abs/1912.11367 (2019) - 2018
- [c6]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) 2018: 3-15 - [i11]Naresh Manwani:
PRIL: Perceptron Ranking Using Interval Labeled Data. CoRR abs/1802.03873 (2018) - [i10]Kulin Shah, Naresh Manwani:
Sparse and Robust Reject Option Classifier using Successive Linear Programming. CoRR abs/1802.04235 (2018) - [i9]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR abs/1806.05177 (2018) - [i8]Naresh Manwani, Mohit Chandra:
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. CoRR abs/1808.06107 (2018) - [i7]Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi:
Mixture of Regression Experts in fMRI Encoding. CoRR abs/1811.10740 (2018) - 2017
- [c5]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
On the Robustness of Decision Tree Learning Under Label Noise. PAKDD (1) 2017: 685-697 - 2016
- [i6]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
On the Robustness of Decision Tree Learning under Label Noise. CoRR abs/1605.06296 (2016) - 2015
- [j5]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
Making risk minimization tolerant to label noise. Neurocomputing 160: 93-107 (2015) - [j4]Naresh Manwani, P. S. Sastry:
K-plane regression. Inf. Sci. 292: 39-56 (2015) - [c4]Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan:
Double Ramp Loss Based Reject Option Classifier. PAKDD (1) 2015: 151-163 - 2014
- [i5]Aritra Ghosh, Naresh Manwani, P. S. Sastry:
Making Risk Minimization Tolerant to Label Noise. CoRR abs/1403.3610 (2014) - 2013
- [j3]Naresh Manwani, P. S. Sastry:
Noise Tolerance Under Risk Minimization. IEEE Trans. Cybern. 43(3): 1146-1151 (2013) - [i4]Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan:
Double Ramp Loss Based Reject Option Classifier. CoRR abs/1311.6556 (2013) - 2012
- [j2]Naresh Manwani, P. S. Sastry:
Geometric Decision Tree. IEEE Trans. Syst. Man Cybern. Part B 42(1): 181-192 (2012) - [i3]Naresh Manwani, P. S. Sastry:
K-Plane Regression. CoRR abs/1211.1513 (2012) - 2011
- [i2]Naresh Manwani, P. S. Sastry:
Polyceptron: A Polyhedral Learning Algorithm. CoRR abs/1107.1564 (2011) - [i1]Naresh Manwani, P. S. Sastry:
Noise Tolerance under Risk Minimization. CoRR abs/1109.5231 (2011) - 2010
- [j1]P. S. Sastry, G. D. Nagendra, Naresh Manwani:
A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces. IEEE Trans. Syst. Man Cybern. Part B 40(1): 19-28 (2010) - [c3]Naresh Manwani, P. S. Sastry:
Learning Polyhedral Classifiers Using Logistic Function. ACML 2010: 17-30
2000 – 2009
- 2009
- [c2]Naresh Manwani, P. S. Sastry:
A Geometric Algorithm for Learning Oblique Decision Trees. PReMI 2009: 25-31 - 2007
- [c1]Naresh Manwani, Suman K. Mitra, Manjunath V. Joshi:
Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm. PReMI 2007: 463-468
Coauthor Index
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