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ORCIDShirish K. Shevade
Shirish Krishnaj Shevade
Person information
- affiliation: Indian Institute of Science (IISc), Bangalore, India
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2020 – today
- 2024
[c51]Shilpa Babalad
, Shirish K. Shevade, Matthew Jacob Thazhuthaveetil, R. Govindarajan:
Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures. ICS 2024: 388-399- [c50]Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade:
CodeQueries: A Dataset of Semantic Queries over Code. ISEC 2024: 7:1-7:11 - 2022
- [j18]Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari:
Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions. Appl. Intell. 52(3): 3209-3226 (2022) - [c49]Shikhar Bharadwaj, Shirish K. Shevade:
Efficient Constituency Tree based Encoding for Natural Language to Bash Translation. NAACL-HLT 2022: 3159-3168 - [i19]Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade:
Learning to Answer Semantic Queries over Code. CoRR abs/2209.08372 (2022) - 2021
- [c48]Shikhar Bharadwaj, Shirish K. Shevade:
Explainable Natural Language to Bash Translation using Abstract Syntax Tree. CoNLL 2021: 258-267 - [c47]M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade:
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. ICDM 2021: 1210-1215 - [c46]Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade:
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. SIGIR 2021: 81-91 - [i18]Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade:
Stateful Detection of Model Extraction Attacks. CoRR abs/2107.05166 (2021) - [i17]Vijaikumar M, Deepesh V. Hada, Shirish K. Shevade:
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. CoRR abs/2110.01467 (2021) - 2020
- [c45]Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. AAAI 2020: 865-872 - [c44]G. P. Shrivatsa Bhargav, Michael R. Glass, Dinesh Garg, Shirish K. Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam, Alfio Gliozzo:
Translucent Answer Predictions in Multi-Hop Reading Comprehension. AAAI 2020: 7700-7707 - [c43]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. PAKDD (1) 2020: 28-40 - [c42]M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty:
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. ECML/PKDD (3) 2020: 297-313 - [c41]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
Neural Cross-Domain Collaborative Filtering with Shared Entities. ECML/PKDD (1) 2020: 729-745
2010 – 2019
- 2019
- [c40]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. AAAI 2019: 930-937 - [c39]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Neural Attribution for Semantic Bug-Localization in Student Programs. NeurIPS 2019: 11861-11871 - [c38]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. ECML/PKDD (1) 2019: 430-446 - [c37]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. PReMI (2) 2019: 240-248 - [i16]Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy:
A framework for the extraction of Deep Neural Networks by leveraging public data. CoRR abs/1905.09165 (2019) - [i15]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Learning for Bug-Localization in Student Programs. CoRR abs/1905.12454 (2019) - [i14]Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
Neural Cross-Domain Collaborative Filtering with Shared Entities. CoRR abs/1907.08440 (2019) - 2018
- [c36]Ishan Rastogi, Aditya Kanade, Shirish K. Shevade:
Active Learning for Efficient Testing of Student Programs. AIED (2) 2018: 296-300 - [c35]Anusha Kasinikota, Balamurugan Palaniappan, Shirish K. Shevade:
Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. PAKDD (1) 2018: 43-55 - [i13]Rahul Gupta, Aditya Kanade, Shirish K. Shevade:
Deep Reinforcement Learning for Programming Language Correction. CoRR abs/1801.10467 (2018) - [i12]Ishan Rastogi, Aditya Kanade, Shirish K. Shevade:
Active Learning for Efficient Testing of Student Programs. CoRR abs/1804.05655 (2018) - 2017
- [j17]Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari:
Multi-Label Classification from Multiple Noisy Sources Using Topic Models. Inf. 8(2): 52 (2017) - [j16]Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade:
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(3): 20:1-20:25 (2017) - [c34]Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade:
DeepFix: Fixing Common C Language Errors by Deep Learning. AAAI 2017: 1345-1351 - [c33]Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari:
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret. AAMAS 2017: 1667-1669 - [c32]Deepak P, Dinesh Garg, Shirish K. Shevade:
Latent Space Embedding for Retrieval in Question-Answer Archives. EMNLP 2017: 855-865 - [c31]Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg:
A Sparse Nonlinear Classifier Design Using AUC Optimization. SDM 2017: 291-299 - [i11]Divya Padmanabhan, Satyanath Bhat, Prabuchandran K. J., Shirish K. Shevade, Y. Narahari:
A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret. CoRR abs/1703.00632 (2017) - 2016
- [c30]Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari:
Topic Model Based Multi-Label Classification. ICTAI 2016: 996-1003 - [c29]Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari:
A Robust UCB scheme for active learning in regression from strategic crowds. IJCNN 2016: 2212-2219 - [c28]P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade:
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ECML/PKDD (1) 2016: 215-231 - [c27]Balamurugan Palaniappan, Anusha Posinasetty, Shirish K. Shevade:
ADMM for Training Sparse Structural SVMs with Augmented ℓ1 Regularizers. SDM 2016: 684-692 - [i10]Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari:
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds. CoRR abs/1601.06750 (2016) - [i9]Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari:
Topic Model Based Multi-Label Classification from the Crowd. CoRR abs/1604.00783 (2016) - [i8]Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish K. Shevade, Keerthi Selvaraj:
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification. CoRR abs/1608.00466 (2016) - [i7]Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg:
A Sparse Nonlinear Classifier Design Using AUC Optimization. CoRR abs/1612.08633 (2016) - 2015
- [j15]Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan:
A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. 27(10): 2183-2206 (2015) - [c26]Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade:
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. CICLing (1) 2015: 505-519 - 2014
- [j14]Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu:
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. Knowl. Inf. Syst. 38(3): 599-621 (2014) - [c25]P. K. Srijith, Shirish K. Shevade:
Gaussian Process Multi-task Learning Using Joint Feature Selection. ECML/PKDD (3) 2014: 98-113 - [i6]P. K. Srijith, Balamurugan P., Shirish K. Shevade:
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. CoRR abs/1412.7868 (2014) - 2013
- [c24]Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty:
Optimizing F-measure with non-convex loss and sparse linear classifiers. IJCNN 2013: 1-8 - [c23]P. K. Srijith, Shirish K. Shevade, S. Sundararajan:
Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) 2013: 144-159 - [c22]Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade:
Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. SDM 2013: 423-431 - [i5]Balamurugan Palaniappan, Shirish K. Shevade, Sundararajan Sellamanickam:
Large Margin Semi-supervised Structured Output Learning. CoRR abs/1311.2139 (2013) - [i4]Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi:
An Empirical Evaluation of Sequence-Tagging Trainers. CoRR abs/1311.2378 (2013) - 2012
- [c21]P. K. Srijith, Shirish K. Shevade, S. Sundararajan:
A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence 2012: 683-694 - [c20]Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade:
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. COLING (Posters) 2012: 1091-1100 - [c19]Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade:
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. ECIR 2012: 388-400 - [c18]Balamurugan P., Shirish K. Shevade, T. Ravindra Babu:
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs. ICDM 2012: 61-70 - [c17]P. K. Srijith, Shirish K. Shevade:
Multi-Task Learning Using Shared and Task Specific Information. ICONIP (3) 2012: 125-132 - [c16]P. K. Srijith, Shirish K. Shevade, S. Sundararajan:
Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) 2012: 409-416 - [c15]Sneha Chaudhari, Shirish K. Shevade:
Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. ICONIP (3) 2012: 465-473 - [c14]Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu:
Efficient algorithms for linear summed error structural SVMs. IJCNN 2012: 1-8 - [c13]Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. UAI 2012: 275-285 - [i3]Sundararajan Sellamanickam, Shirish K. Shevade:
An Additive Model View to Sparse Gaussian Process Classifier Design. CoRR abs/1206.6030 (2012) - [i2]Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade:
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. CoRR abs/1210.4859 (2012) - [i1]Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade:
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. CoRR abs/1211.0210 (2012) - 2011
- [j13]I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty:
A fast quasi-Newton method for semi-supervised SVM. Pattern Recognit. 44(10-11): 2305-2313 (2011) - [c12]Sathiya Keerthi Selvaraj, Bigyan Bhar, Sundararajan Sellamanickam, Shirish K. Shevade:
Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. CIKM 2011: 653-662 - [c11]Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade:
A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. PAKDD (1) 2011: 13-25 - [c10]Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi:
A Sequential Dual Method for Structural SVMs. SDM 2011: 223-234
2000 – 2009
- 2009
- [j12]Shirish K. Shevade, S. Sundararajan:
Validation-Based Sparse Gaussian Process Classifier Design. Neural Comput. 21(7): 2082-2103 (2009) - [c9]Amrish Patel, S. Sundararajan, Shirish K. Shevade:
Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI 2009: 1193-1198 - 2007
- [j11]S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi:
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Comput. 19(1): 283-301 (2007) - [j10]S. Sathiya Keerthi, Shirish K. Shevade:
A Fast Tracking Algorithm for Generalized LARS/LASSO. IEEE Trans. Neural Networks 18(6): 1826-1830 (2007) - [c8]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA 2007: 304-308 - [c7]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Multiclass core vector machine. ICML 2007: 41-48 - 2006
- [j9]J. Saketha Nath, Shirish K. Shevade:
An efficient clustering scheme using support vector methods. Pattern Recognit. 39(8): 1473-1480 (2006) - [j8]S. Asharaf, M. Narasimha Murty, Shirish K. Shevade:
Rough set based incremental clustering of interval data. Pattern Recognit. Lett. 27(6): 515-519 (2006) - [c6]Asharaf S., M. Narasimha Murty, Shirish K. Shevade:
Cluster Based Core Vector Machine. ICDM 2006: 1038-1042 - [c5]Shirish K. Shevade, Wei Chu:
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM 2006: 1054-1058 - 2005
- [j7]S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo:
A Fast Dual Algorithm for Kernel Logistic Regression. Mach. Learn. 61(1-3): 151-165 (2005) - [j6]S. Asharaf, Shirish K. Shevade, M. Narasimha Murty:
Rough support vector clustering. Pattern Recognit. 38(10): 1779-1783 (2005) - [c4]J. Saketha Nath, Shirish K. Shevade:
An Efficient Clustering Scheme using Support Vector Methods. IICAI 2005: 3436-3448 - 2004
- [c3]Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Sparse Model Learning. ICONIP 2004: 434-439 - 2003
- [j5]Shirish K. Shevade, S. Sathiya Keerthi:
A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinform. 19(17): 2246-2253 (2003) - [j4]S. Sathiya Keerthi, Shirish K. Shevade:
SMO Algorithm for Least-Squares SVM Formulation. Neural Comput. 15(2): 487-507 (2003) - [c2]Kaibo Duan, S. Sathiya Keerthi, Wei Chu, Shirish Krishnaj Shevade, Aun Neow Poo:
Multi-category Classification by Soft-Max Combination of Binary Classifiers. Multiple Classifier Systems 2003: 125-134 - 2002
- [c1]S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo:
A Fast Dual Algorithm for Kernel Logistic Regression. ICML 2002: 299-306 - 2001
- [j3]S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Comput. 13(3): 637-649 (2001) - 2000
- [j2]S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans. Neural Networks Learn. Syst. 11(1): 124-136 (2000) - [j1]Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy:
Improvements to the SMO algorithm for SVM regression. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1188-1193 (2000)
Coauthor Index
S. Sathiya Keerthi
aka: Sathiya Keerthi Selvaraj
aka: Sathiya Keerthi Selvaraj
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