Naresh Manwani

76 papers A* 3A 1B 2C 5Journal 41Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking. CoRR Rishabh Bhattacharya, Naresh Manwani
2026	J	`jnl`	EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking. Trans. Mach. Learn. Res. Rishabh Bhattacharya, Naresh Manwani
2026	J	`jnl`	Training-Free Cross-Architecture Merging for Graph Neural Networks. CoRR Rishabh Bhattacharya, Vikaskumar Kalsariya, Naresh Manwani
2025	—	`conf`	Achieving Fair PCA Using Joint Eigenvalue Decomposition. PAKDD (2) Vidhi Rathore, Naresh Manwani
2025	J	`jnl`	Achieving Fair PCA Using Joint Eigenvalue Decomposition. CoRR Vidhi Rathore, Naresh Manwani
2025	J	`jnl`	DFORD: Directional Feedback based Online Ordinal Regression Learning. CoRR Naresh Manwani, M. Elamparithy, Tanish Taneja
2025	J	`jnl`	Node Classification With Reject Option. Trans. Mach. Learn. Res. Uday Bhaskar Kuchipudi, Jayadratha Gayen, Charu Sharma, Naresh Manwani
2025	J	`jnl`	Optimal Strategies for Federated Learning Maintaining Client Privacy. CoRR Uday Bhaskar, Varul Srivastava, Avyukta Manjunatha Vummintala, Naresh Manwani, Sujit Gujar
2025	J	`jnl`	Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning. CoRR Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma
2025	—	`conf`	Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning. CVPR Workshops Darshana Saravanan, Naresh Manwani, Vineet Gandhi
2025	—	`conf`	Reducing Misclassification Risk in Dynamic Graph Neural Networks Through Abstention. ASONAM (2) Jayadratha Gayen, Himanshu Pal, Naresh Manwani, Charu Sharma
2025	J	`jnl`	Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching. CoRR Uday Bhaskar, Rishabh Bhattacharya, Avinash Patel, Sarthak Khoche, Praveen Anil Kulkarni, Naresh Manwani
2024	—	`conf`	EQUISCALE: Equitable Scaling for Abstention Learning. PRICAI (1) Tejas Kiran Chaudhari, Naresh Manwani
2024	—	`conf`	ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis. AIMLSystems Abhijit Manatkar, Devarsh Patel, Hima Patel, Naresh Manwani
2024	J	`jnl`	ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis. CoRR Abhijit Manatkar, Devarsh Patel, Hima Patel, Naresh Manwani
2024	J	`jnl`	Node Classification With Integrated Reject Option. CoRR Uday Bhaskar, Jayadratha Gayen, Charu Sharma, Naresh Manwani
2024	J	`jnl`	SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning. CoRR Darshana Saravanan, Naresh Manwani, Vineet Gandhi
2024	—	`conf`	Text Representation Models based on the Spatial Distributional Properties of Word Embeddings. COMAD/CODS Narendra Babu Unnam, Krishna Reddy Polepalli, Amit Pandey, Naresh Manwani
2024	C	`conf`	Towards Calibrated Losses for Adversarial Robust Reject Option Classification. ACML Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani
2024	J	`jnl`	Towards Calibrated Losses for Adversarial Robust Reject Option Classification. CoRR Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani
2023	—	`conf`	CDAN: Cost Dependent Deep Abstention Network. PRICAI (2) Bhavya Kalra, Naresh Manwani
2023	B	`conf`	Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. IJCNN Naresh Manwani, Mudit Agarwal
2023	—	`conf`	Features Normalisation and Standardisation (FNS): An Unsupervised Approach for Detecting Adversarial Attacks for Medical Images. ICAART (3) Sreenivasan Mohandas, Naresh Manwani
2023	—	`conf`	RPL-SVM: Making SVM Robust Against Missing Values and Partial Labels. PRICAI (3) Sreenivasan Mohandas, Naresh Manwani
2023	J	`jnl`	RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. CoRR Samartha S. Maheshwara, Naresh Manwani
2022	—	`conf`	ALBIF: Active Learning with BandIt Feedbacks. PAKDD (3) Mudit Agarwal, Naresh Manwani
2022	A*	`conf`	Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. KDD Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar
2022	J	`jnl`	Delaytron: Efficient Learning of Multiclass Classifiers with Delayed Bandit Feedbacks. CoRR Naresh Manwani, Mudit Agarwal
2022	B	`conf`	Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. SSDBM Narendra Babu Unnam, P. Krishna Reddy, Amit Pandey, Naresh Manwani
2022	—	`conf`	Momentum Iterative Gradient Sign Method Outperforms PGD Attacks. ICAART (3) Sreenivasan Mohandas, Naresh Manwani, Durga Prasad Dhulipudi
2022	C	`conf`	RoLNiP: Robust Learning Using Noisy Pairwise Comparisons. ACML Samartha S. Maheshwara, Naresh Manwani
2021	—	`conf`	Cooperative Monitoring of Malicious Activity in Stock Exchanges. PAKDD (Workshops) Bhavya Kalra, Sai Krishna Munnangi, Kushal Majmundar, Naresh Manwani, Praveen Paruchuri
2021	—	`conf`	Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. COMAD/CODS Maanik Arora, Naresh Manwani
2021	—	`conf`	Learning Multiclass Classifier Under Noisy Bandit Feedback. PAKDD (2) Mudit Agarwal, Naresh Manwani
2021	—	`conf`	Multiclass Classification Using Dilute Bandit Feedback. PRICAI (1) Gaurav Batra, Naresh Manwani
2021	J	`jnl`	Multiclass Classification using dilute bandit feedback. CoRR Gaurav Batra, Naresh Manwani
2021	J	`jnl`	RISAN: Robust Instance Specific Abstention Network. CoRR Bhavya Kalra, Kulin Shah, Naresh Manwani
2021	A	`conf`	RISAN: Robust instance specific deep abstention network. UAI Bhavya Kalra, Kulin Shah, Naresh Manwani
2021	—	`conf`	The Curious Case of Convex Neural Networks. ECML/PKDD (1) Sarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi
2020	C	`conf`	Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. ACML Maanik Arora, Naresh Manwani
2020	J	`jnl`	Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels. IEEE Trans. Neural Networks Learn. Syst. Naresh Manwani, Mohit Chandra
2020	J	`jnl`	Learning Multiclass Classifier Under Noisy Bandit Feedback. CoRR Mudit Agarwal, Naresh Manwani
2020	A*	`conf`	Online Active Learning of Reject Option Classifiers. AAAI Kulin Shah, Naresh Manwani
2020	—	`conf`	Online Algorithms for Multiclass Classification Using Partial Labels. PAKDD (1) Rajarshi Bhattacharjee, Naresh Manwani
2020	C	`conf`	Robust Deep Ordinal Regression under Label Noise. ACML Bhanu Garg, Naresh Manwani
2020	—	`conf`	Robust Learning of Multi-Label Classifiers under Label Noise. COMAD/CODS Himanshu Kumar, Naresh Manwani, P. S. Sastry
2020	J	`jnl`	The Curious Case of Convex Networks. CoRR Sarath Sivaprasad, Naresh Manwani, Vineet Gandhi
2019	J	`jnl`	ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2019	J	`jnl`	Online Active Learning of Reject Option Classifiers. CoRR Kulin Shah, Naresh Manwani
2019	J	`jnl`	Online Algorithms for Multiclass Classification using Partial Labels. CoRR Rajarshi Bhattacharjee, Naresh Manwani
2019	J	`jnl`	PLUME: Polyhedral Learning Using Mixture of Experts. CoRR Kulin Shah, P. S. Sastry, Naresh Manwani
2019	—	`conf`	PRIL: Perceptron Ranking Using Interval Labels. COMAD/CODS Naresh Manwani
2019	J	`jnl`	Robust Deep Ordinal Regression Under Label Noise. CoRR Bhanu Garg, Naresh Manwani
2019	A*	`conf`	Sparse Reject Option Classifier Using Successive Linear Programming. AAAI Kulin Shah, Naresh Manwani
2018	J	`jnl`	Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels. CoRR Naresh Manwani, Mohit Chandra
2018	J	`jnl`	Mixture of Regression Experts in fMRI Encoding. CoRR Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
2018	J	`jnl`	PRIL: Perceptron Ranking Using Interval Labeled Data. CoRR Naresh Manwani
2018	J	`jnl`	Sparse and Robust Reject Option Classifier using Successive Linear Programming. CoRR Kulin Shah, Naresh Manwani
2018	—	`conf`	fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2018	J	`jnl`	fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2017	—	`conf`	On the Robustness of Decision Tree Learning Under Label Noise. PAKDD (1) Aritra Ghosh, Naresh Manwani, P. S. Sastry
2016	J	`jnl`	On the Robustness of Decision Tree Learning under Label Noise. CoRR Aritra Ghosh, Naresh Manwani, P. S. Sastry
2015	—	`conf`	Double Ramp Loss Based Reject Option Classifier. PAKDD (1) Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan
2015	J	`jnl`	K-plane regression. Inf. Sci. Naresh Manwani, P. S. Sastry
2015	J	`jnl`	Making risk minimization tolerant to label noise. Neurocomputing Aritra Ghosh, Naresh Manwani, P. S. Sastry
2014	J	`jnl`	Making Risk Minimization Tolerant to Label Noise. CoRR Aritra Ghosh, Naresh Manwani, P. S. Sastry
2013	J	`jnl`	Double Ramp Loss Based Reject Option Classifier. CoRR Naresh Manwani, Kalpit Desai, Sanand Sasidharan, Ramasubramanian Sundararajan
2013	J	`jnl`	Noise Tolerance Under Risk Minimization. IEEE Trans. Cybern. Naresh Manwani, P. S. Sastry
2012	J	`jnl`	Geometric Decision Tree. IEEE Trans. Syst. Man Cybern. Part B Naresh Manwani, P. S. Sastry
2012	J	`jnl`	K-Plane Regression CoRR Naresh Manwani, P. S. Sastry
2011	J	`jnl`	Noise Tolerance under Risk Minimization CoRR Naresh Manwani, P. S. Sastry
2011	J	`jnl`	Polyceptron: A Polyhedral Learning Algorithm CoRR Naresh Manwani, P. S. Sastry
2010	J	`jnl`	A Team of Continuous-Action Learning Automata for Noise-Tolerant Learning of Half-Spaces. IEEE Trans. Syst. Man Cybern. Part B P. S. Sastry, G. D. Nagendra, Naresh Manwani
2010	C	`conf`	Learning Polyhedral Classifiers Using Logistic Function. ACML Naresh Manwani, P. S. Sastry
2009	—	`conf`	A Geometric Algorithm for Learning Oblique Decision Trees. PReMI Naresh Manwani, P. S. Sastry
2007	—	`conf`	Spoken Language Identification for Indian Languages Using Split and Merge EM Algorithm. PReMI Naresh Manwani, Suman K. Mitra, Manjunath V. Joshi