A fast iterative nearest point algorithm for support vector machine classifier design. - S. Sathiya Keerthi; Shirish K. Shevade; Chiranjib Bhattacharyya; K. R. K. Murthy (IEEE Trans. Neural Networks Learn. Syst., 2000)

Improvements to the SMO algorithm for SVM regression. - Shirish K. Shevade; S. Sathiya Keerthi; Chiranjib Bhattacharyya; K. R. K. Murthy (IEEE Trans. Neural Networks Learn. Syst., 2000)

Improvements to Platt's SMO Algorithm for SVM Classifier Design. - S. Sathiya Keerthi; Shirish K. Shevade; Chiranjib Bhattacharyya; K. R. K. Murthy (Neural Comput., 2001)

SMO algorithm for least squares SVM. - S. Sathiya Keerthi; Shirish K. Shevade (IJCNN, 2003)

Multi-category Classification by Soft-Max Combination of Binary Classifiers. - Kaibo Duan; S. Sathiya Keerthi; Wei Chu; Shirish Krishnaj Shevade; Aun Neow Poo (Multiple Classifier Systems, 2003)

A simple and efficient algorithm for gene selection using sparse logistic regression. - Shirish K. Shevade; S. Sathiya Keerthi (Bioinform., 2003)

SMO Algorithm for Least-Squares SVM Formulation. - S. Sathiya Keerthi; Shirish K. Shevade (Neural Comput., 2003)

Predictive Approaches for Sparse Model Learning. - Shirish K. Shevade; S. Sundararajan; S. Sathiya Keerthi (ICONIP, 2004)

A Fast Dual Algorithm for Kernel Logistic Regression. - S. Sathiya Keerthi; Kaibo Duan; Shirish K. Shevade; Aun Neow Poo (Mach. Learn., 2005)

Rough support vector clustering. - S. Asharaf; Shirish K. Shevade; M. Narasimha Murty (Pattern Recognit., 2005)

Cluster Based Core Vector Machine. - Asharaf S.; M. Narasimha Murty; Shirish K. Shevade (ICDM, 2006)

Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. - Shirish K. Shevade; Wei Chu (ICDM, 2006)

An efficient clustering scheme using support vector methods. - J. Saketha Nath; Shirish K. Shevade (Pattern Recognit., 2006)

Rough set based incremental clustering of interval data. - S. Asharaf; M. Narasimha Murty; Shirish K. Shevade (Pattern Recognit. Lett., 2006)

Cluster Based Training for Scaling Non-linear Support Vector Machines. - S. Asharaf; M. Narasimha Murty; Shirish K. Shevade (ICCTA, 2007)

Multiclass core vector machine. - S. Asharaf; M. Narasimha Murty; Shirish K. Shevade (ICML, 2007)

Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. - S. Sundararajan; Shirish K. Shevade; S. Sathiya Keerthi (Neural Comput., 2007)

A Fast Tracking Algorithm for Generalized LARS/LASSO. - S. Sathiya Keerthi; Shirish K. Shevade (IEEE Trans. Neural Networks, 2007)

Semi-Supervised Classification Using Sparse Gaussian Process Regression. - Amrish Patel; S. Sundararajan; Shirish K. Shevade (IJCAI, 2009)

Validation-Based Sparse Gaussian Process Classifier Design. - Shirish K. Shevade; S. Sundararajan (Neural Comput., 2009)

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. - Sathiya Keerthi Selvaraj; Bigyan Bhar; Sundararajan Sellamanickam; Shirish K. Shevade (CIKM, 2011)

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. - Dinesh Garg; Sundararajan Sellamanickam; Shirish K. Shevade (PAKDD (1), 2011)

A Sequential Dual Method for Structural SVMs. - Shirish K. Shevade; P. Balamurugan 001; S. Sundararajan; S. Sathiya Keerthi (SDM, 2011)

A fast quasi-Newton method for semi-supervised SVM. - I. Sathish Reddy; Shirish K. Shevade; M. Narasimha Murty (Pattern Recognit., 2011)

A Probabilistic Least Squares Approach to Ordinal Regression. - P. K. Srijith; Shirish K. Shevade; S. Sundararajan (Australasian Conference on Artificial Intelligence, 2012)

Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. - Sathiya Keerthi Selvaraj; Sundararajan Sellamanickam; Shirish K. Shevade (COLING (Posters), 2012)

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. - Goutham Tholpadi; Mrinal Kanti Das; Chiranjib Bhattacharyya; Shirish K. Shevade (ECIR, 2012)

Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs. - Balamurugan P.; Shirish K. Shevade; T. Ravindra Babu (ICDM, 2012)

Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. - Sneha Chaudhari; Shirish K. Shevade (ICONIP (3), 2012)

Multi-Task Learning Using Shared and Task Specific Information. - P. K. Srijith; Shirish K. Shevade (ICONIP (3), 2012)

Validation Based Sparse Gaussian Processes for Ordinal Regression. - P. K. Srijith; Shirish K. Shevade; S. Sundararajan (ICONIP (2), 2012)

Efficient algorithms for linear summed error structural SVMs. - P. Balamurugan 001; Shirish K. Shevade; T. Ravindra Babu (IJCNN, 2012)

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. - Dinesh Garg; Sourangshu Bhattacharya; S. Sundararajan; Shirish K. Shevade (UAI, 2012)

An Additive Model View to Sparse Gaussian Process Classifier Design - Sundararajan Sellamanickam; Shirish K. Shevade (CoRR, 2012)

Optimizing F-measure with non-convex loss and sparse linear classifiers. - Punya Murthy Chinta; Balamurugan P.; Shirish K. Shevade; M. Narasimha Murty (IJCNN, 2013)

Semi-supervised Gaussian Process Ordinal Regression. - P. K. Srijith; Shirish K. Shevade; S. Sundararajan (ECML/PKDD (3), 2013)

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. - Tanuja Ganu; Sundararajan Sellamanickam; Shirish K. Shevade (SDM, 2013)

Large Margin Semi-supervised Structured Output Learning. - P. Balamurugan 001; Shirish K. Shevade; Sundararajan Sellamanickam (CoRR, 2013)

An Empirical Evaluation of Sequence-Tagging Trainers. - P. Balamurugan 001; Shirish K. Shevade; S. Sundararajan; S. Sathiya Keerthi (CoRR, 2013)

Gaussian Process Multi-task Learning Using Joint Feature Selection. - P. K. Srijith; Shirish K. Shevade (ECML/PKDD (3), 2014)

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. - P. K. Srijith; Balamurugan P.; Shirish K. Shevade (CoRR, 2014)

Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. - P. Balamurugan 001; Shirish K. Shevade; T. Ravindra Babu (Knowl. Inf. Syst., 2014)

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. - Goutham Tholpadi; Chiranjib Bhattacharyya; Shirish K. Shevade (CICLing (1), 2015)

A Simple Label Switching Algorithm for Semisupervised Structural SVMs. - P. Balamurugan 001; Shirish K. Shevade; S. Sundararajan (Neural Comput., 2015)

Topic Model Based Multi-Label Classification. - Divya Padmanabhan; Satyanath Bhat; Shirish K. Shevade; Y. Narahari (ICTAI, 2016)

A Robust UCB scheme for active learning in regression from strategic crowds. - Divya Padmanabhan; Satyanath Bhat; Dinesh Garg; Shirish K. Shevade; Y. Narahari (IJCNN, 2016)

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. - P. K. Srijith; P. Balamurugan 001; Shirish K. Shevade (ECML/PKDD (1), 2016)

ADMM for Training Sparse Structural SVMs with Augmented ℓ1 Regularizers. - P. Balamurugan 001; Anusha Posinasetty; Shirish K. Shevade (SDM, 2016)

Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification. - Madhusudan Lakshmana; Sundararajan Sellamanickam; Shirish K. Shevade; Sathiya Keerthi Selvaraj (CoRR, 2016)

Topic Model Based Multi-Label Classification from the Crowd. - Divya Padmanabhan; Satyanath Bhat; Shirish K. Shevade; Y. Narahari (CoRR, 2016)

DeepFix: Fixing Common C Language Errors by Deep Learning. - Rahul Gupta; Soham Pal; Aditya Kanade 001; Shirish K. Shevade (AAAI, 2017)

A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret. - Divya Padmanabhan; Satyanath Bhat; Prabuchandran K. J.; Shirish K. Shevade; Y. Narahari (AAMAS, 2017)

Latent Space Embedding for Retrieval in Question-Answer Archives. - Deepak P 001; Dinesh Garg; Shirish K. Shevade (EMNLP, 2017)

A Sparse Nonlinear Classifier Design Using AUC Optimization. - Vishal Kakkar; Shirish K. Shevade; S. Sundararajan; Dinesh Garg (SDM, 2017)

Multi-Label Classification from Multiple Noisy Sources Using Topic Models. - Divya Padmanabhan; Satyanath Bhat; Shirish K. Shevade; Y. Narahari (Inf., 2017)

Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia. - Goutham Tholpadi; Chiranjib Bhattacharyya; Shirish K. Shevade (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017)

Active Learning for Efficient Testing of Student Programs. - Ishan Rastogi; Aditya Kanade 001; Shirish K. Shevade (AIED (2), 2018)

Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. - Anusha Kasinikota; P. Balamurugan 001; Shirish K. Shevade (PAKDD (1), 2018)

Deep Reinforcement Learning for Programming Language Correction. - Rahul Gupta; Aditya Kanade 001; Shirish K. Shevade (CoRR, 2018)

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. - Rahul Gupta; Aditya Kanade 001; Shirish K. Shevade (AAAI, 2019)

Neural Attribution for Semantic Bug-Localization in Student Programs. - Rahul Gupta; Aditya Kanade 001; Shirish K. Shevade (NeurIPS, 2019)

SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. - Vijaikumar M; Shirish K. Shevade; M. Narasimha Murty (ECML/PKDD (1), 2019)

TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. - Vijaikumar M; Shirish K. Shevade; M. Narasimha Murty (PReMI (2), 2019)

A framework for the extraction of Deep Neural Networks by leveraging public data. - Soham Pal; Yash Gupta; Aditya Shukla; Aditya Kanade 001; Shirish K. Shevade; Vinod Ganapathy (CoRR, 2019)

Deep Learning for Bug-Localization in Student Programs. - Rahul Gupta; Aditya Kanade 001; Shirish K. Shevade (CoRR, 2019)

Translucent Answer Predictions in Multi-Hop Reading Comprehension. - G. P. Shrivatsa Bhargav; Michael R. Glass; Dinesh Garg; Shirish K. Shevade; Saswati Dana; Dinesh Khandelwal; L. Venkata Subramaniam; Alfio Gliozzo (AAAI, 2020)

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. - Soham Pal; Yash Gupta; Aditya Shukla; Aditya Kanade 001; Shirish K. Shevade; Vinod Ganapathy (AAAI, 2020)

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. - Vijaikumar M; Shirish K. Shevade; M. Narasimha Murty (PAKDD (1), 2020)

Neural Cross-Domain Collaborative Filtering with Shared Entities. - Vijaikumar M; Shirish K. Shevade; M. Narasimha Murty (ECML/PKDD (1), 2020)

GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. - M. Vijaikumar; Shirish K. Shevade; M. Narasimha Murty (ECML/PKDD (3), 2020)

Explainable Natural Language to Bash Translation using Abstract Syntax Tree. - Shikhar Bharadwaj; Shirish K. Shevade (CoNLL, 2021)

HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. - M. Vijaikumar; Deepesh V. Hada; Shirish K. Shevade (ICDM, 2021)

ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. - Deepesh V. Hada; Vijaikumar M; Shirish K. Shevade (SIGIR, 2021)

Stateful Detection of Model Extraction Attacks. - Soham Pal; Yash Gupta; Aditya Kanade 001; Shirish K. Shevade (CoRR, 2021)

Efficient Constituency Tree based Encoding for Natural Language to Bash Translation. - Shikhar Bharadwaj; Shirish K. Shevade (NAACL-HLT, 2022)

Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions. - Divya Padmanabhan; Satyanath Bhat; Prabuchandran K. J.; Shirish K. Shevade; Y. Narahari (Appl. Intell., 2022)

Learning to Answer Semantic Queries over Code. - Surya Prakash Sahu; Madhurima Mandal; Shikhar Bharadwaj; Aditya Kanade 001; Petros Maniatis; Shirish K. Shevade (CoRR, 2022)

Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures. - Shilpa Babalad; Shirish K. Shevade; Matthew Jacob Thazhuthaveetil; R. Govindarajan (ICS, 2024)

CodeQueries: A Dataset of Semantic Queries over Code. - Surya Prakash Sahu; Madhurima Mandal; Shikhar Bharadwaj; Aditya Kanade 001; Petros Maniatis; Shirish K. Shevade (ISEC, 2024)