1.Narendra Babu Unnam; Krishna Reddy P; Amit Pandey; Naresh Manwani: Journey to the center of the words: Word weighting scheme based on the geometry of word embeddings. 34th International Conference on Scientific and Statistical Database Management (SSDBM), Forthcoming. (Type: Conference | BibTeX | Tags: )
2.Mudit Agarwal; Naresh Manwani: ALBIF: Active Learning with BandIt Feedbacks. 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022. (Type: Conference | BibTeX | Tags: )
3.Sreenivasan Mohandas; Naresh Manwani; Durga Prasad Dhulipudi: Momentum Iterative Gradient Sign Method outperforms PGD Attacks. 14th International Conference on Agents and Artificial Intelligence (ICAART), 2022. (Type: Conference | BibTeX | Tags: )
4.Gaurav Batra; Naresh Manwani: Multiclass Classification using Dilute Bandit Feedback. PRICAI 2021, Forthcoming. (Type: Conference | BibTeX | Tags: Bandit Feedback, multiclass classification, online learning)
5.Sarath Sivaprasad; Ankur Singh; Naresh Manwani; Vineet Gandhi: The Curious Case of Convex Networks. ECML 2021, Forthcoming. (Type: Conference | BibTeX | Tags: )
6.Bhavya Kalra; Naresh Manwani: RISAN: Robust Instance Specific Deep Abstention Network. UAI 2021, Forthcoming. (Type: Conference | BibTeX | Tags: )
7.Mudit Agarwal; Naresh Manwani: Learning Multiclass Classifier Under Noisy Bandit Feedback. PAKDD 2021, Forthcoming. (Type: Conference | BibTeX | Tags: Bandit Feedback, Label Noise, multiclass classification, online learning)
8.Bhavya Kalra; Sai Krishna Munnangi; Kushal Majmundar; Naresh Manwani; Praveen Paruchuri: Cooperative Monitoring of Malicious Activity in Stock Exchanges. Workshop on Data Assessment and Readiness for Artificial Intelligence, PAKDD 2021, 2021. (Type: Workshop | BibTeX | Tags: )
9.Maanik Arora; Naresh Manwani: Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels. CoDS-COMAD 2021, Forthcoming. (Type: Conference | BibTeX | Tags: multiclass classification, online learning)
10.Maanik Arora; Naresh Manwani: Exact Passive Aggressive Algorithm for Multiclass Classification Using Bandit Feedbacks. ACML 2020, 2020. (Type: Conference | Links | BibTeX | Tags: )
11.Bhanu Garg; Naresh Manwani: Robust Deep Ordinal Regression under Label Noise. ACML 2020, 2020. (Type: Conference | Links | BibTeX | Tags: Label Noise, Ordinal Regression)
12.Rajarshi Bhattacharjee; Naresh Manwani: Online Algorithms for Multiclass Classification using Partial Labels. In: PAKDD 2020, 2020. (Type: Conference | Links | BibTeX | Tags: multiclass classification, online learning, partial label)
13.Naresh Manwani; Mohit Chandra: Exact Passive Aggressive Learning of Ordinal Regression Using Interval Labels. In: IEEE Transactions on Neural Networks and Learning Systems (NNLS), 2020. (Type: Journal Article | Links | BibTeX | Tags: Online, Ordinal Regression, Passive-Aggressive)
14.Kulin Shah; Naresh Manwani: Online Active Learning of Reject Option Classifiers. AAAI, AAAI Press, Forthcoming. (Type: Conference | Links | BibTeX | Tags: ActiveLearning, Online, RejectOption)
15.Himanshu Kumar; Naresh Manwani; Sastry P S: Robust Learning of Multi-Label Classifiers under Label Noise. ACM India Joint International Conference on Data Science & Management of Data, 2020. (Type: Conference | Abstract | Links | BibTeX | Tags: Label Noise, Multi-Label, Robust)
16.Kulin Shah; Naresh Manwani: Sparse Reject Option Classifier Using Successive Linear Programming. In: AAAI, pp. 4870–4877, AAAI Press, 2019. (Type: Conference | BibTeX | Tags: )
17.Naresh Manwani: PRIL: Perceptron Ranking Using Interval Labels. In: COMAD/CODS, pp. 78–85, ACM, 2019. (Type: Conference | BibTeX | Tags: )
18.Subba Reddy Oota; Naresh Manwani; Raju Bapi S: fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. In: ICONIP (3), pp. 3–15, Springer, 2018. (Type: Conference | BibTeX | Tags: )
19.Aritra Ghosh; Naresh Manwani; Sastry P S: On the Robustness of Decision Tree Learning Under Label Noise. In: PAKDD (1), pp. 685–697, 2017. (Type: Conference | BibTeX | Tags: )