Naresh Manwani

According to our database, Naresh Manwani authored at least 45 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning.

Darshana Saravanan, Naresh Manwani, Vineet Gandhi

CoRR, 2024

Text Representation Models based on the Spatial Distributional Properties of Word Embeddings.

Narendra Babu Unnam, Krishna Reddy Polepalli, Amit Pandey, Naresh Manwani

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels.

Sreenivasan Mohandas, Naresh Manwani

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

CDAN: Cost Dependent Deep Abstention Network.

Bhavya Kalra, Naresh Manwani

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks.

Naresh Manwani, Mudit Agarwal

Proceedings of the International Joint Conference on Neural Networks, 2023

Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images.

Sreenivasan Mohandas, Naresh Manwani

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

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

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

ALBIF: Active Learning with BandIt Feedbacks.

Mudit Agarwal, Naresh Manwani

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Momentum Iterative Gradient Sign Method Outperforms PGD Attacks.

Sreenivasan Mohandas, Naresh Manwani, Durga Prasad Dhulipudi

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

RoLNiP: Robust Learning Using Noisy Pairwise Comparisons.

Samartha S. Maheshwara, Naresh Manwani

Proceedings of the Asian Conference on Machine Learning, 2022

2021

RISAN: Robust Instance Specific Abstention Network.

Bhavya Kalra, Kulin Shah, Naresh Manwani

CoRR, 2021

RISAN: Robust instance specific deep abstention network.

Bhavya Kalra, Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Multiclass Classification Using Dilute Bandit Feedback.

Gaurav Batra, Naresh Manwani

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

The Curious Case of Convex Neural Networks.

Sarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Cooperative Monitoring of Malicious Activity in Stock Exchanges.

Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2021

Learning Multiclass Classifier Under Noisy Bandit Feedback.

Mudit Agarwal, Naresh Manwani

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels.

Maanik Arora, Naresh Manwani

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020

Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels.

Naresh Manwani, Mohit Chandra

IEEE Trans. Neural Networks Learn. Syst., 2020

The Curious Case of Convex Networks.

Sarath Sivaprasad, Naresh Manwani, Vineet Gandhi

CoRR, 2020

Online Algorithms for Multiclass Classification Using Partial Labels.

Rajarshi Bhattacharjee, Naresh Manwani

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Robust Learning of Multi-Label Classifiers under Label Noise.

Himanshu Kumar, Naresh Manwani, P. S. Sastry

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

Robust Deep Ordinal Regression under Label Noise.

Bhanu Garg, Naresh Manwani

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks.

Maanik Arora, Naresh Manwani

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Online Active Learning of Reject Option Classifiers.

Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts.

Subba Reddy Oota, Naresh Manwani, Raju S. Bapi

CoRR, 2019

PLUME: Polyhedral Learning Using Mixture of Experts.

Kulin Shah, P. S. Sastry, Naresh Manwani

CoRR, 2019

PRIL: Perceptron Ranking Using Interval Labels.

Naresh Manwani

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Sparse Reject Option Classifier Using Successive Linear Programming.

Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Mixture of Regression Experts in fMRI Encoding.

Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi

CoRR, 2018

Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels.

Naresh Manwani, Mohit Chandra

CoRR, 2018

Sparse and Robust Reject Option Classifier using Successive Linear Programming.

Kulin Shah, Naresh Manwani

CoRR, 2018

PRIL: Perceptron Ranking Using Interval Labeled Data.

Naresh Manwani

CoRR, 2018

fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings.

Subba Reddy Oota, Naresh Manwani, Raju S. Bapi

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

On the Robustness of Decision Tree Learning Under Label Noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

2015

K-plane regression.

Naresh Manwani, P. S. Sastry

Inf. Sci., 2015

Making risk minimization tolerant to label noise.

Aritra Ghosh, Naresh Manwani, P. S. Sastry

Neurocomputing, 2015

Double Ramp Loss Based Reject Option Classifier.

Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2013

Noise Tolerance Under Risk Minimization.

Naresh Manwani, P. S. Sastry

IEEE Trans. Cybern., 2013

2012

Geometric Decision Tree.

Naresh Manwani, P. S. Sastry

IEEE Trans. Syst. Man Cybern. Part B, 2012

2011

Polyceptron: A Polyhedral Learning Algorithm

Naresh Manwani, P. S. Sastry

CoRR, 2011

2010

A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces.

P. S. Sastry, G. D. Nagendra, Naresh Manwani

IEEE Trans. Syst. Man Cybern. Part B, 2010

Learning Polyhedral Classifiers Using Logistic Function.

Naresh Manwani, P. S. Sastry

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

2009

A Geometric Algorithm for Learning Oblique Decision Trees.

Naresh Manwani, P. S. Sastry

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

2007

Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm.

Naresh Manwani, Suman K. Mitra, Manjunath V. Joshi

Proceedings of the Pattern Recognition and Machine Intelligence, 2007