Shirish K. Shevade

According to our database, Shirish K. Shevade authored at least 77 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CodeQueries: A Dataset of Semantic Queries over Code.

Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade

Proceedings of the 17th Innovations in Software Engineering Conference, 2024

2022

Learning to Answer Semantic Queries over Code.

Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade

CoRR, 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

Efficient Constituency Tree based Encoding for Natural Language to Bash Translation.

Shikhar Bharadwaj, Shirish K. Shevade

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Stateful Detection of Model Extraction Attacks.

Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade

CoRR, 2021

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

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

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

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

Proceedings of the IEEE International Conference on Data Mining, 2021

Explainable Natural Language to Bash Translation using Abstract Syntax Tree.

Shikhar Bharadwaj, Shirish K. Shevade

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Neural Cross-Domain Collaborative Filtering with Shared Entities.

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

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

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data.

Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Deep Learning for Bug-Localization in Student Programs.

Rahul Gupta, Aditya Kanade, Shirish K. Shevade

CoRR, 2019

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

Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy

CoRR, 2019

TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.

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

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Neural Attribution for Semantic Bug-Localization in Student Programs.

Rahul Gupta, Aditya Kanade, Shirish K. Shevade

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs.

Rahul Gupta, Aditya Kanade, Shirish K. Shevade

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Reinforcement Learning for Programming Language Correction.

Rahul Gupta, Aditya Kanade, Shirish K. Shevade

CoRR, 2018

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

Anusha Kasinikota, Balamurugan Palaniappan, Shirish K. Shevade

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Active Learning for Efficient Testing of Student Programs.

Ishan Rastogi, Aditya Kanade, Shirish K. Shevade

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

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

Multi-Label Classification from Multiple Noisy Sources Using Topic Models.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

Inf., 2017

A Sparse Nonlinear Classifier Design Using AUC Optimization.

Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Latent Space Embedding for Retrieval in Question-Answer Archives.

Deepak P, Dinesh Garg, Shirish K. Shevade

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

DeepFix: Fixing Common C Language Errors by Deep Learning.

Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Topic Model Based Multi-Label Classification from the Crowd.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

CoRR, 2016

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

Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish K. Shevade, Keerthi Selvaraj

CoRR, 2016

ADMM for Training Sparse Structural SVMs with Augmented <i>ℓ</i>₁ Regularizers.

Balamurugan Palaniappan, Anusha Posinasetty, Shirish K. Shevade

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.

P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

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

Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Topic Model Based Multi-Label Classification.

Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

A Simple Label Switching Algorithm for Semisupervised Structural SVMs.

Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan

Neural Comput., 2015

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.

Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs.

Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu

Knowl. Inf. Syst., 2014

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.

P. K. Srijith, Balamurugan P., Shirish K. Shevade

CoRR, 2014

Gaussian Process Multi-task Learning Using Joint Feature Selection.

P. K. Srijith, Shirish K. Shevade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

An Empirical Evaluation of Sequence-Tagging Trainers.

Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi

CoRR, 2013

Large Margin Semi-supervised Structured Output Learning.

Balamurugan Palaniappan, Shirish K. Shevade, Sundararajan Sellamanickam

CoRR, 2013

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

Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Semi-supervised Gaussian Process Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

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

Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

An Additive Model View to Sparse Gaussian Process Classifier Design

Sundararajan Sellamanickam, Shirish K. Shevade

CoRR, 2012

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

Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Efficient algorithms for linear summed error structural SVMs.

Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Validation Based Sparse Gaussian Processes for Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multi-Task Learning Using Shared and Task Specific Information.

P. K. Srijith, Shirish K. Shevade

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering.

Sneha Chaudhari, Shirish K. Shevade

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.

Balamurugan P., Shirish K. Shevade, T. Ravindra Babu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora.

Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade

Proceedings of the Advances in Information Retrieval, 2012

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

Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade

Proceedings of the COLING 2012, 2012

A Probabilistic Least Squares Approach to Ordinal Regression.

P. K. Srijith, Shirish K. Shevade, S. Sundararajan

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

A fast quasi-Newton method for semi-supervised SVM.

I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty

Pattern Recognit., 2011

A Sequential Dual Method for Structural SVMs.

Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection.

Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset.

Sathiya Keerthi Selvaraj, Bigyan Bhar, Sundararajan Sellamanickam, Shirish K. Shevade

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009

Validation-Based Sparse Gaussian Process Classifier Design.

Shirish K. Shevade, S. Sundararajan

Neural Comput., 2009

Semi-Supervised Classification Using Sparse Gaussian Process Regression.

Amrish Patel, S. Sundararajan, Shirish K. Shevade

Proceedings of the IJCAI 2009, 2009

2007

A Fast Tracking Algorithm for Generalized LARS/LASSO.

S. Sathiya Keerthi, Shirish K. Shevade

IEEE Trans. Neural Networks, 2007

Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.

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

Neural Comput., 2007

Multiclass core vector machine.

S. Asharaf, M. Narasimha Murty, Shirish K. Shevade

Proceedings of the Machine Learning, 2007

Cluster Based Training for Scaling Non-linear Support Vector Machines.

S. Asharaf, M. Narasimha Murty, Shirish K. Shevade

Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006

Rough set based incremental clustering of interval data.

S. Asharaf, M. Narasimha Murty, Shirish K. Shevade

Pattern Recognit. Lett., 2006

An efficient clustering scheme using support vector methods.

J. Saketha Nath, Shirish K. Shevade

Pattern Recognit., 2006

Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression.

Shirish K. Shevade, Wei Chu

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Cluster Based Core Vector Machine.

Asharaf S., M. Narasimha Murty, Shirish K. Shevade

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Rough support vector clustering.

S. Asharaf, Shirish K. Shevade, M. Narasimha Murty

Pattern Recognit., 2005

A Fast Dual Algorithm for Kernel Logistic Regression.

S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo

Mach. Learn., 2005

2004

Predictive Approaches for Sparse Model Learning.

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

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

SMO Algorithm for Least-Squares SVM Formulation.

S. Sathiya Keerthi, Shirish K. Shevade

Neural Comput., 2003

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

Shirish K. Shevade, S. Sathiya Keerthi

Bioinform., 2003

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

Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2001

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

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

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