Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm. - Naresh Manwani; Suman K. Mitra; Manjunath V. Joshi (PReMI, 2007)

A Geometric Algorithm for Learning Oblique Decision Trees. - Naresh Manwani; P. S. Sastry 001 (PReMI, 2009)

Learning Polyhedral Classifiers Using Logistic Function. - Naresh Manwani; P. S. Sastry 001 (ACML, 2010)

A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces. - P. S. Sastry 001; G. D. Nagendra; Naresh Manwani (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Polyceptron: A Polyhedral Learning Algorithm - Naresh Manwani; P. S. Sastry 001 (CoRR, 2011)

Geometric Decision Tree. - Naresh Manwani; P. S. Sastry 001 (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Noise Tolerance Under Risk Minimization. - Naresh Manwani; P. S. Sastry 001 (IEEE Trans. Cybern., 2013)

Double Ramp Loss Based Reject Option Classifier. - Naresh Manwani; Kalpit Desai; Sanand Sasidharan; Ramasubramanian Sundararajan (PAKDD (1), 2015)

Making risk minimization tolerant to label noise. - Aritra Ghosh 001; Naresh Manwani; P. S. Sastry 001 (Neurocomputing, 2015)

K-plane regression. - Naresh Manwani; P. S. Sastry 001 (Inf. Sci., 2015)

On the Robustness of Decision Tree Learning Under Label Noise. - Aritra Ghosh 001; Naresh Manwani; P. S. Sastry 001 (PAKDD (1), 2017)

fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. - Subba Reddy Oota; Naresh Manwani; Raju S. Bapi (ICONIP (3), 2018)

PRIL: Perceptron Ranking Using Interval Labeled Data. - Naresh Manwani (CoRR, 2018)

Sparse and Robust Reject Option Classifier using Successive Linear Programming. - Kulin Shah; Naresh Manwani (CoRR, 2018)

Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. - Naresh Manwani; Mohit Chandra (CoRR, 2018)

Mixture of Regression Experts in fMRI Encoding. - Subba Reddy Oota; Adithya Avvaru; Naresh Manwani; Raju S. Bapi (CoRR, 2018)

Sparse Reject Option Classifier Using Successive Linear Programming. - Kulin Shah; Naresh Manwani (AAAI, 2019)

PRIL: Perceptron Ranking Using Interval Labels. - Naresh Manwani (COMAD/CODS, 2019)

PLUME: Polyhedral Learning Using Mixture of Experts. - Kulin Shah; P. S. Sastry 001; Naresh Manwani (CoRR, 2019)

ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. - Subba Reddy Oota; Naresh Manwani; Raju S. Bapi (CoRR, 2019)

Online Active Learning of Reject Option Classifiers. - Kulin Shah; Naresh Manwani (AAAI, 2020)

Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. - Maanik Arora; Naresh Manwani (ACML, 2020)

Robust Deep Ordinal Regression under Label Noise. - Bhanu Garg; Naresh Manwani (ACML, 2020)

Robust Learning of Multi-Label Classifiers under Label Noise. - Himanshu Kumar; Naresh Manwani; P. S. Sastry 001 (COMAD/CODS, 2020)

Online Algorithms for Multiclass Classification Using Partial Labels. - Rajarshi Bhattacharjee; Naresh Manwani (PAKDD (1), 2020)

The Curious Case of Convex Networks. - Sarath Sivaprasad; Naresh Manwani; Vineet Gandhi (CoRR, 2020)

Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. - Naresh Manwani; Mohit Chandra (IEEE Trans. Neural Networks Learn. Syst., 2020)

Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. - Maanik Arora; Naresh Manwani (COMAD/CODS, 2021)

Learning Multiclass Classifier Under Noisy Bandit Feedback. - Mudit Agarwal; Naresh Manwani (PAKDD (2), 2021)

Cooperative Monitoring of Malicious Activity in Stock Exchanges. - Bhavya Kalra; Sai Krishna Munnangi; Kushal Majmundar; Naresh Manwani; Praveen Paruchuri (PAKDD (Workshops), 2021)

The Curious Case of Convex Neural Networks. - Sarath Sivaprasad; Ankur Singh; Naresh Manwani; Vineet Gandhi (ECML/PKDD (1), 2021)

Multiclass Classification Using Dilute Bandit Feedback. - Gaurav Batra; Naresh Manwani (PRICAI (1), 2021)

RISAN: Robust instance specific deep abstention network. - Bhavya Kalra; Kulin Shah; Naresh Manwani (UAI, 2021)

RISAN: Robust Instance Specific Abstention Network. - Bhavya Kalra; Kulin Shah; Naresh Manwani (CoRR, 2021)

RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. - Samartha S. Maheshwara; Naresh Manwani (ACML, 2022)

Momentum Iterative Gradient Sign Method Outperforms PGD Attacks. - Sreenivasan Mohandas; Naresh Manwani; Durga Prasad Dhulipudi (ICAART (3), 2022)

Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. - Hima Patel; Shanmukha C. Guttula; Ruhi Sharma Mittal; Naresh Manwani; Laure Berti-Équille; Abhijit Manatkar (KDD, 2022)

ALBIF: Active Learning with BandIt Feedbacks. - Mudit Agarwal; Naresh Manwani (PAKDD (3), 2022)

Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. - Narendra Babu Unnam; P. Krishna Reddy; Amit Pandey; Naresh Manwani (SSDBM, 2022)

Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images. - Sreenivasan Mohandas; Naresh Manwani (ICAART (3), 2023)

Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. - Naresh Manwani; Mudit Agarwal (IJCNN, 2023)

CDAN: Cost Dependent Deep Abstention Network. - Bhavya Kalra; Naresh Manwani (PRICAI (2), 2023)

RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels. - Sreenivasan Mohandas; Naresh Manwani (PRICAI (3), 2023)

Towards Calibrated Losses for Adversarial Robust Reject Option Classification. - Vrund Shah; Tejas Kiran Chaudhari; Naresh Manwani (ACML, 2024)

ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis. - Abhijit Manatkar; Devarsh Patel; Hima Patel; Naresh Manwani (AIMLSystems, 2024)

Text Representation Models based on the Spatial Distributional Properties of Word Embeddings. - Narendra Babu Unnam; Krishna Reddy Polepalli; Amit Pandey; Naresh Manwani (COMAD/CODS, 2024)

EQUISCALE: Equitable Scaling for Abstention Learning. - Tejas Kiran Chaudhari; Naresh Manwani (PRICAI (1), 2024)

SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning. - Darshana Saravanan; Naresh Manwani; Vineet Gandhi (CoRR, 2024)

Node Classification With Integrated Reject Option. - Uday Bhaskar; Jayadratha Gayen; Charu Sharma; Naresh Manwani (CoRR, 2024)

Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning. - Darshana Saravanan; Naresh Manwani; Vineet Gandhi (CVPR Workshops, 2025)

Achieving Fair PCA Using Joint Eigenvalue Decomposition. - Vidhi Rathore; Naresh Manwani (PAKDD (2), 2025)

Node Classification With Reject Option. - Uday Bhaskar Kuchipudi; Jayadratha Gayen; Charu Sharma; Naresh Manwani (Trans. Mach. Learn. Res., 2025)

Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning. - Jayadratha Gayen; Himanshu Pal; Naresh Manwani; Charu Sharma (CoRR, 2025)

Optimal Strategies for Federated Learning Maintaining Client Privacy. - Uday Bhaskar; Varul Srivastava; Avyukta Manjunatha Vummintala; Naresh Manwani; Sujit Gujar (CoRR, 2025)