Shirish K. Shevade

89 papers A* 14A 10B 7Journal 37Unranked 21
YearRankTypeTitle / Venue / Authors
2025 A conf
UJOpt: Heuristic Approach for Applying Unroll-and-Jam Optimization and Loop Order Selection.
ICS
Shilpa Babalad, Shirish K. Shevade, Matthew Jacob Thazhuthaveetil, R. Govindarajan
2024 — conf
CodeQueries: A Dataset of Semantic Queries over Code.
ISEC
Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade
2024 A conf
Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures.
ICS
Shilpa Babalad, Shirish K. Shevade, Matthew Jacob Thazhuthaveetil, R. Govindarajan
2022 J jnl
Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions.
Appl. Intell.
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
2022 — conf
Efficient Constituency Tree based Encoding for Natural Language to Bash Translation.
NAACL-HLT
Shikhar Bharadwaj, Shirish K. Shevade
2022 J jnl
Learning to Answer Semantic Queries over Code.
CoRR
Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade
2021 B conf
Explainable Natural Language to Bash Translation using Abstract Syntax Tree.
CoNLL
Shikhar Bharadwaj, Shirish K. Shevade
2021 A* conf
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation.
ICDM
M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade
2021 J jnl
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation.
CoRR
Vijaikumar M, Deepesh V. Hada, Shirish K. Shevade
2021 A* conf
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model.
SIGIR
Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade
2021 J jnl
Stateful Detection of Model Extraction Attacks.
CoRR
Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade
2020 A* conf
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data.
AAAI
Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy
2020 — conf
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation.
PAKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020 — conf
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization.
ECML/PKDD (3)
M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty
2020 — conf
Neural Cross-Domain Collaborative Filtering with Shared Entities.
ECML/PKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020 A* conf
Translucent Answer Predictions in Multi-Hop Reading Comprehension.
AAAI
G. P. Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish K. Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam, Alfio Gliozzo
2019 J jnl
A framework for the extraction of Deep Neural Networks by leveraging public data.
CoRR
Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy
2019 J jnl
Deep Learning for Bug-Localization in Student Programs.
CoRR
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
2019 A* conf
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs.
AAAI
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
2019 A* conf
Neural Attribution for Semantic Bug-Localization in Student Programs.
NeurIPS
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
2019 J jnl
Neural Cross-Domain Collaborative Filtering with Shared Entities.
CoRR
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019 — conf
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
ECML/PKDD (1)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019 — conf
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.
PReMI (2)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2018 — conf
Active Learning for Efficient Testing of Student Programs.
AIED (2)
Ishan Rastogi, Aditya Kanade, Shirish K. Shevade
2018 J jnl
Active Learning for Efficient Testing of Student Programs.
CoRR
Ishan Rastogi, Aditya Kanade, Shirish K. Shevade
2018 J jnl
Deep Reinforcement Learning for Programming Language Correction.
CoRR
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
2018 — conf
Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective.
PAKDD (1)
Anusha Kasinikota, P. Balamurugan, Shirish K. Shevade
2017 A conf
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret.
AAMAS
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
2017 J jnl
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret.
CoRR
Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari
2017 A conf
A Sparse Nonlinear Classifier Design Using AUC Optimization.
SDM
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
2017 J jnl
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
2017 A* conf
DeepFix: Fixing Common C Language Errors by Deep Learning.
AAAI
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade
2017 A* conf
Latent Space Embedding for Retrieval in Question-Answer Archives.
EMNLP
Deepak P, Dinesh Garg, Shirish K. Shevade
2017 J jnl
Multi-Label Classification from Multiple Noisy Sources Using Topic Models.
Inf.
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
2016 J jnl
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds.
CoRR
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari
2016 B conf
A Robust UCB scheme for active learning in regression from strategic crowds.
IJCNN
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari
2016 J jnl
A Sparse Nonlinear Classifier Design Using AUC Optimization.
CoRR
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
2016 A conf
ADMM for Training Sparse Structural SVMs with Augmented
SDM
P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade
2016 — conf
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.
ECML/PKDD (1)
P. K. Srijith, P. Balamurugan, Shirish K. Shevade
2016 J jnl
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification.
CoRR
Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish K. Shevade, Sathiya Keerthi Selvaraj
2016 J jnl
Topic Model Based Multi-Label Classification from the Crowd.
CoRR
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
2016 B conf
Topic Model Based Multi-Label Classification.
ICTAI
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
2015 J jnl
A Simple Label Switching Algorithm for Semisupervised Structural SVMs.
Neural Comput.
P. Balamurugan, Shirish K. Shevade, S. Sundararajan
2015 — conf
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.
CICLing (1)
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
2014 — conf
Gaussian Process Multi-task Learning Using Joint Feature Selection.
ECML/PKDD (3)
P. K. Srijith, Shirish K. Shevade
2014 J jnl
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.
CoRR
P. K. Srijith, Balamurugan P., Shirish K. Shevade
2014 J jnl
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs.
Knowl. Inf. Syst.
P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu
2013 J jnl
An Empirical Evaluation of Sequence-Tagging Trainers.
CoRR
P. Balamurugan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2013 J jnl
Large Margin Semi-supervised Structured Output Learning.
CoRR
P. Balamurugan, Shirish K. Shevade, Sundararajan Sellamanickam
2013 B conf
Optimizing F-measure with non-convex loss and sparse linear classifiers.
IJCNN
Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty
2013 — conf
Semi-supervised Gaussian Process Ordinal Regression.
ECML/PKDD (3)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2013 A conf
Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference.
SDM
Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade
2012 — conf
A Probabilistic Least Squares Approach to Ordinal Regression.
Australasian Conference on Artificial Intelligence
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2012 J jnl
An Additive Model View to Sparse Gaussian Process Classifier Design
CoRR
Sundararajan Sellamanickam, Shirish K. Shevade
2012 A conf
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora.
ECIR
Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade
2012 B conf
Efficient algorithms for linear summed error structural SVMs.
IJCNN
P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu
2012 J jnl
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses
CoRR
Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade
2012 — conf
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses.
COLING (Posters)
Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade
2012 — conf
Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering.
ICONIP (3)
Sneha Chaudhari, Shirish K. Shevade
2012 J jnl
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators
CoRR
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012 A conf
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.
UAI
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
2012 — conf
Multi-Task Learning Using Shared and Task Specific Information.
ICONIP (3)
P. K. Srijith, Shirish K. Shevade
2012 A* conf
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.
ICDM
Balamurugan P., Shirish K. Shevade, T. Ravindra Babu
2012 — conf
Validation Based Sparse Gaussian Processes for Ordinal Regression.
ICONIP (2)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
2011 — conf
A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection.
PAKDD (1)
Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade
2011 A conf
A Sequential Dual Method for Structural SVMs.
SDM
Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi
2011 J jnl
A fast quasi-Newton method for semi-supervised SVM.
Pattern Recognit.
I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty
2011 A conf
Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset.
CIKM
Sathiya Keerthi Selvaraj, Bigyan Bhar, Sundararajan Sellamanickam, Shirish K. Shevade
2009 A* conf
Semi-Supervised Classification Using Sparse Gaussian Process Regression.
IJCAI
Amrish Patel, S. Sundararajan, Shirish K. Shevade
2009 J jnl
Validation-Based Sparse Gaussian Process Classifier Design.
Neural Comput.
Shirish K. Shevade, S. Sundararajan
2007 J jnl
A Fast Tracking Algorithm for Generalized LARS/LASSO.
IEEE Trans. Neural Networks
S. Sathiya Keerthi, Shirish K. Shevade
2007 — conf
Cluster Based Training for Scaling Non-linear Support Vector Machines.
ICCTA
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2007 J jnl
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.
Neural Comput.
S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi
2007 A* conf
Multiclass core vector machine.
ICML
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2006 J jnl
An efficient clustering scheme using support vector methods.
Pattern Recognit.
J. Saketha Nath, Shirish K. Shevade
2006 A* conf
Cluster Based Core Vector Machine.
ICDM
Asharaf S., M. Narasimha Murty, Shirish K. Shevade
2006 A* conf
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression.
ICDM
Shirish K. Shevade, Wei Chu
2006 J jnl
Rough set based incremental clustering of interval data.
Pattern Recognit. Lett.
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2005 J jnl
A Fast Dual Algorithm for Kernel Logistic Regression.
Mach. Learn.
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
2005 — conf
An Efficient Clustering Scheme using Support Vector Methods.
IICAI
J. Saketha Nath, Shirish K. Shevade
2005 J jnl
Rough support vector clustering.
Pattern Recognit.
S. Asharaf, Shirish K. Shevade, M. Narasimha Murty
2004 B conf
Predictive Approaches for Sparse Model Learning.
ICONIP
Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2003 J jnl
A simple and efficient algorithm for gene selection using sparse logistic regression.
Bioinform.
Shirish K. Shevade, S. Sathiya Keerthi
2003 J jnl
SMO Algorithm for Least-Squares SVM Formulation.
Neural Comput.
S. Sathiya Keerthi, Shirish K. Shevade
2003 B conf
SMO algorithm for least squares SVM.
IJCNN
S. Sathiya Keerthi, Shirish K. Shevade
2002 A* conf
A Fast Dual Algorithm for Kernel Logistic Regression.
ICML
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
2001 J jnl
Improvements to Platt's SMO Algorithm for SVM Classifier Design.
Neural Comput.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2000 J jnl
A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2000 J jnl
Improvements to the SMO algorithm for SVM regression.
IEEE Trans. Neural Networks Learn. Syst.
Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy