Naresh Manwani

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 44

Top Topics

Multiclass Classification

Risk Minimization

Pairwise Comparisons

Top Venues

Publications

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)
Darshana Saravanan, Naresh Manwani, Vineet Gandhi
SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning. CoRR (2024)
Bhavya Kalra, Naresh Manwani
CDAN: Cost Dependent Deep Abstention Network. PRICAI (2) (2023)
Sreenivasan Mohandas, Naresh Manwani
RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels. PRICAI (3) (2023)
Samartha S. Maheshwara, Naresh Manwani
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. CoRR (2023)
Sreenivasan Mohandas, Naresh Manwani
Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images. ICAART (3) (2023)
Naresh Manwani, Mudit Agarwal
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. IJCNN (2023)
Mudit Agarwal, Naresh Manwani
ALBIF: Active Learning with BandIt Feedbacks. PAKDD (3) (2022)
Samartha S. Maheshwara, Naresh Manwani
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. ACML (2022)
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)
Sreenivasan Mohandas, Naresh Manwani, Durga Prasad Dhulipudi
Momentum Iterative Gradient Sign Method Outperforms PGD Attacks. ICAART (3) (2022)
Naresh Manwani, Mudit Agarwal
Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. CoRR (2022)
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)
Maanik Arora, Naresh Manwani
Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. COMAD/CODS (2021)
Sarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi
The Curious Case of Convex Neural Networks. ECML/PKDD (1) (2021)
Gaurav Batra, Naresh Manwani
Multiclass Classification Using Dilute Bandit Feedback. PRICAI (1) (2021)
Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri
Cooperative Monitoring of Malicious Activity in Stock Exchanges. PAKDD (Workshops) (2021)
Bhavya Kalra, Kulin Shah, Naresh Manwani
RISAN: Robust instance specific deep abstention network. UAI (2021)
Mudit Agarwal, Naresh Manwani
Learning Multiclass Classifier Under Noisy Bandit Feedback. PAKDD (2) (2021)
Gaurav Batra, Naresh Manwani
Multiclass Classification using dilute bandit feedback. CoRR (2021)
Bhavya Kalra, Kulin Shah, Naresh Manwani
RISAN: Robust Instance Specific Abstention Network. CoRR (2021)
Maanik Arora, Naresh Manwani
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. ACML (2020)
Sarath Sivaprasad, Naresh Manwani, Vineet Gandhi
The Curious Case of Convex Networks. CoRR (2020)
Rajarshi Bhattacharjee, Naresh Manwani
Online Algorithms for Multiclass Classification Using Partial Labels. PAKDD (1) (2020)
Bhanu Garg, Naresh Manwani
Robust Deep Ordinal Regression under Label Noise. ACML (2020)
Naresh Manwani, Mohit Chandra
Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Kulin Shah, Naresh Manwani
Online Active Learning of Reject Option Classifiers. AAAI (2020)
Himanshu Kumar, Naresh Manwani, P. S. Sastry
Robust Learning of Multi-Label Classifiers under Label Noise. COMAD/CODS (2020)
Mudit Agarwal, Naresh Manwani
Learning Multiclass Classifier Under Noisy Bandit Feedback. CoRR (2020)
Naresh Manwani
PRIL: Perceptron Ranking Using Interval Labels. COMAD/CODS (2019)
Rajarshi Bhattacharjee, Naresh Manwani
Online Algorithms for Multiclass Classification using Partial Labels. CoRR (2019)
Kulin Shah, P. S. Sastry, Naresh Manwani
PLUME: Polyhedral Learning Using Mixture of Experts. CoRR (2019)
Kulin Shah, Naresh Manwani
Online Active Learning of Reject Option Classifiers. CoRR (2019)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR (2019)
Bhanu Garg, Naresh Manwani
Robust Deep Ordinal Regression Under Label Noise. CoRR (2019)
Kulin Shah, Naresh Manwani
Sparse Reject Option Classifier Using Successive Linear Programming. AAAI (2019)
Kulin Shah, Naresh Manwani
Sparse and Robust Reject Option Classifier using Successive Linear Programming. CoRR (2018)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) (2018)
Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
Mixture of Regression Experts in fMRI Encoding. CoRR (2018)
Naresh Manwani, Mohit Chandra
Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. CoRR (2018)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR (2018)
Naresh Manwani
PRIL: Perceptron Ranking Using Interval Labeled Data. CoRR (2018)
Aritra Ghosh, Naresh Manwani, P. S. Sastry
On the Robustness of Decision Tree Learning Under Label Noise. PAKDD (1) (2017)
Aritra Ghosh, Naresh Manwani, P. S. Sastry
On the Robustness of Decision Tree Learning under Label Noise. CoRR (2016)
Naresh Manwani, P. S. Sastry
K-plane regression. Inf. Sci. 292 (2015)
Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan
Double Ramp Loss Based Reject Option Classifier. PAKDD (1) (2015)
Aritra Ghosh, Naresh Manwani, P. S. Sastry
Making risk minimization tolerant to label noise. Neurocomputing 160 (2015)
Aritra Ghosh, Naresh Manwani, P. S. Sastry
Making Risk Minimization Tolerant to Label Noise. CoRR (2014)
Naresh Manwani, P. S. Sastry
Noise Tolerance Under Risk Minimization. IEEE Trans. Cybern. 43 (3) (2013)
Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan
Double Ramp Loss Based Reject Option Classifier. CoRR (2013)
Naresh Manwani, P. S. Sastry
Geometric Decision Tree. IEEE Trans. Syst. Man Cybern. Part B 42 (1) (2012)
Naresh Manwani, P. S. Sastry
K-Plane Regression CoRR (2012)
Naresh Manwani, P. S. Sastry
Polyceptron: A Polyhedral Learning Algorithm CoRR (2011)
Naresh Manwani, P. S. Sastry
Noise Tolerance under Risk Minimization CoRR (2011)
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) (2010)
Naresh Manwani, P. S. Sastry
Learning Polyhedral Classifiers Using Logistic Function. ACML (2010)
Naresh Manwani, P. S. Sastry
A Geometric Algorithm for Learning Oblique Decision Trees. PReMI (2009)
Naresh Manwani, Suman K. Mitra, Manjunath V. Joshi
Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm. PReMI (2007)