S. Shevade

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SMO algorithm for least squares SVM

S. Keerthi, S. Shevade, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

SMO Algorithm for Least-Squares SVM Formulations

S. Keerthi, S. Shevade, 2003, Neural Computation.

Improvements to Platt's SMO Algorithm for SVM Classifier Design

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2001, Neural Computation.

A fast iterative nearest point algorithm for support vector machine classifier design

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2000, IEEE Trans. Neural Networks Learn. Syst..

Improvements to the SMO algorithm for SVM regression

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2000, IEEE Trans. Neural Networks Learn. Syst..

A simple and efficient algorithm for gene selection using sparse logistic regression

S. Sathiya Keerthi, Shirish K. Shevade, S. Keerthi, 2003, Bioinform..

Multiclass core vector machine

M. Narasimha Murty, Shirish K. Shevade, M. N. Murty, 2007, ICML '07.

Improvements to SMO Algorithm for SVM Regression 1

S. Keerthi, S. Shevade, C. Bhattacharyya, 1999 .

Project Report on Effective and Efficient computation of ‘ Cluster Similarity

S. Shevade, Mayuresh Kunjir, Mangesh D. Pujari, 2009 .

FastGeneralizedCross-ValidationAlgorithmforSparseModel Learning

S. Keerthi, S. Shevade, S. Sundararajan, 2007 .

Measures for Classification and Detection in Steganalysis

S. Shevade, 2007 .

SMO Algorithm for Least-Squares SVM Formulation

S. Sathiya Keerthi, Shirish K. Shevade, S. Keerthi, 2003, Neural Computation.

Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions

K. J. Prabuchandran, S. Shevade, Y. Narahari, 2021, Applied Intelligence.

A Robust UCB scheme for active learning in regression from strategic crowds

Y. Narahari, Dinesh Garg, Shirish K. Shevade, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Efficient algorithms for linear summed error structural SVMs

T. Ravindra Babu, Shirish K. Shevade, P. Balamurugan, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Multi-category Classification by Soft-Max Combination of Binary Classifiers

Wei Chu, S. Sathiya Keerthi, Aun Neow Poo, 2003, Multiple Classifier Systems.

A fast quasi-Newton method for semi-supervised SVM

M. Narasimha Murty, Shirish K. Shevade, I. Sathish Reddy, 2011, Pattern Recognit..

Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling

Philip M. Long, A. Ramasamy, S. Shevade, 2005, Hepatology.

Fast Generalized Cross-Validation Algorithm for Sparse Model Learning

S. Sundararajan, S. Sathiya Keerthi, Shirish K. Shevade, 2007, Neural Computation.

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference

Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade, 2013, SDM.

Optimizing F-measure with non-convex loss and sparse linear classifiers

M. Narasimha Murty, Shirish K. Shevade, P. Balamurugan, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Learning to Answer Semantic Queries over Code

S. Shevade, Petros Maniatis, Aditya Kanade, 2022, ArXiv.

DeepFix: Fixing Common C Language Errors by Deep Learning

Rahul Gupta, Aditya Kanade, Shirish K. Shevade, 2017, AAAI.

Neural Cross-Domain Collaborative Filtering with Shared Entities pdf

Shirish Shevade, M Vijaikumar, M N Murty, 2019, ECML/PKDD.

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data

Vinod Ganapathy, Aditya Kanade, Shirish Shevade, 2020, AAAI.

A framework for the extraction of Deep Neural Networks by leveraging public data pdf

Vinod Ganapathy, Aditya Kanade, Shirish Shevade, 2019, ArXiv.

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

Rahul Gupta, Aditya Kanade, Shirish Shevade, 2019, AAAI.

Deep Reinforcement Learning for Programming Language Correction pdf

Rahul Gupta, Aditya Kanade, Shirish K. Shevade, 2018, ArXiv.

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators

S. Sundararajan, Dinesh Garg, Shirish K. Shevade, 2012, UAI.

Semi-supervised classification using sparse Gaussian process regression

Amrish Patel, S. Sundararajan, Shirish Shevade, 2009, IJCAI 2009.

Validation-Based Sparse Gaussian Process Classifier Design

S. Sundararajan, Shirish K. Shevade, S. Shevade, 2009, Neural Computation.

A Fast Dual Algorithm for Kernel Logistic Regression

S. Sathiya Keerthi, Aun Neow Poo, Shirish K. Shevade, 2002, 2007 International Joint Conference on Neural Networks.

GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization

S. Shevade, M. Murty, M. Vijaikumar, 2020, ECML/PKDD.

Translucent Answer Predictions in Multi-Hop Reading Comprehension

L. Venkata Subramaniam, Shirish Shevade, G. P. Shrivatsa Bhargav, 2020, AAAI.

TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering

M. Narasimha Murty, Shirish K. Shevade, M Vijaikumar, 2019, PReMI.

Multi-Label Classification from Multiple Noisy Sources Using Topic Models

Y. Narahari, Shirish K. Shevade, Satyanath Bhat, 2017, Inf..

A Sequential Dual Method for Structural SVMs

S. Sundararajan, S. Sathiya Keerthi, Shirish K. Shevade, 2011, SDM.

Neural Attribution for Semantic Bug-Localization in Student Programs

Rahul Gupta, Aditya Kanade, Shirish Shevade, 2019, NeurIPS.

Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective

Shirish K. Shevade, P. Balamurugan, Anusha Kasinikota, 2018, PAKDD.

ReXPlug: Explainable Recommendation using Plug-and-Play Language Model

Shirish K. Shevade, M Vijaikumar, Deepesh V. Hada, 2021, SIGIR.

CodeQueries: A Dataset of Semantic Queries over Code

S. Shevade, Petros Maniatis, Aditya Kanade, 2022, 2209.08372.

Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression

Wei Chu, Shirish K. Shevade, S. Shevade, 2006, Sixth International Conference on Data Mining (ICDM'06).

Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification pdf

Sundararajan Sellamanickam, Shirish K. Shevade, Keerthi Selvaraj, 2016, ArXiv.

Cluster Based Training for Scaling Non-linear Support Vector Machines

M. Narasimha Murty, Shirish K. Shevade, S. Asharaf, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses pdf

S. Sathiya Keerthi, Sundararajan Sellamanickam, Shirish K. Shevade, 2012, COLING.

Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering

Shirish K. Shevade, Sneha Chaudhari, S. Shevade, 2012, ICONIP.

HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation

Shirish Shevade, M Vijaikumar, Deepesh V. Hada, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions

Y. Narahari, Shirish Shevade, Satyanath Bhat, 2021, Appl. Intell..

Stateful Detection of Model Extraction Attacks pdf

Aditya Kanade, Shirish Shevade, Soham Pal, 2021, ArXiv.

Semi-supervised Gaussian Process Ordinal Regression

P. K. Srijith, S. Sundararajan, Shirish K. Shevade, 2013, ECML/PKDD.

A Fast Tracking Algorithm for Generalized LARS/LASSO

S. Sathiya Keerthi, Shirish K. Shevade, S. Keerthi, 2007, IEEE Transactions on Neural Networks.

SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation

M. Narasimha Murty, Shirish K. Shevade, M Vijaikumar, 2019, ECML/PKDD.

Efficient Constituency Tree based Encoding for Natural Language to Bash Translation

S. Shevade, Shikhar Bharadwaj, 2022, NAACL.

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation

M. Narasimha Murty, Shirish K. Shevade, M Vijaikumar, 2020, PAKDD.