Shirish Shevade
Contact: shirish AT iisc DOT ac DOT in
Courses Taught
- Deep Learning for Natural Language Processing
- Practical Data Science
- Data Mining
- Optimization for Machine Learning
- Pattern Recognition
- Topics in Pattern Recognition
- Computational Methods of Optimization
- Convex Optimization
- Linear and Nonlinear Optimization
Publications
Journal Papers
- Divya Padmanabhan, Satyanath Bhat, Shirish Shevade and Y. Narahari. Multi-Label Classification
from Multiple Noisy Sources Using Topic Models.
Information, 8(2), 2017.
- Goutham Tholpadi, Chiranjeeb Bhattacharyya and Shirish Shevade, Corpus-based Translation
induction in Indian Languages using Auxiliary Language Corpora from Wikipedia.
Transactions on Asian and Low-Resource Language Information Processing, 16(3), pp. 20:1-20:25, 2017.
- P. Balamurugan, Shirish Shevade and S. Sundararajan, A Simple Label Switching Algorithm for Semi-supervised Structural SVMs. Neural Computation, 27(10), pp. 2183-2206, 2015.
- P. Balamurugan, Shirish Shevade and T. Ravindra Babu,
Scalable Sequential Alternating Proximal Methods for Sparse Structural SVMs
and CRFs. Knowledge and Information Systems, 38(3), pp. 599-621, 2014.
- I. Sathish Reddy, Shirish Shevade and M. N. Murty, A fast Quasi-Newton
method for semi-supervised SVM. Pattern Recognition, pp. 2305-2313, 2011.
- Shirish Shevade and S. Sundararajan, Validation Based Sparse Gaussian Process Classifier Design, Neural Computation, 21(7), pp. 2082-2103, 2009.
- S. Sathiya Keerthi and Shirish Shevade, A Fast Tracking Algorithm for Generalized LARS/LASSO, IEEE Transactions on Neural Networks, 19(6), pp. 1826-1830, 2007.
- S. Sundararajan, Shirish Shevade, S. S. Keerthi, Fast generalized cross
validation algorithm for sparse model learning, Neural Computation,
19(1), pp. 283-301, 2007.
- J. Saketha Nath and S. K. Shevade, An efficient clustering scheme using support vector methods, Pattern Recognition, 39(8), pp. 1473-1480, 2006.
- S. Asharaf, M. Narasimha Murty, and S.K. Shevade, Rough set based incremental clustering of interval data, Pattern Recognition Letters, 27, pp. 515-519, 2006.
- Nam SW, Park JY, Ramasamy A, Shevade S, et al, Molecular changes from dysplastic nodule to hepatocellular carcinoma through gene expression profiling,
Hepatology, 42, pp. 809-818, 2005.
- S. Asharaf, S.K. Shevade, and M. Narasimha Murty, Rough support vector clustering, Pattern Recognition, 38, pp. 1779-1783, 2005.
- S.S. Keerthi, K. Duan, S.K. Shevade, and A.N. Poo, A fast dual algorithm for kernel logistic regression, Machine Learning, 61(1-3), pp. 151-165, 2005.
- S.K. Shevade and S.S. Keerthi, A simple and efficient algorithm for gene selection using sparse
logistic regression, Bioinformatics, 19(17), pp. 2246-2253, 2003.
Software
- Keerthi S. S. and Shevade S. K., SMO algorithm for least
squares SVM formulations. Neural Computation, 15(2), pp. 487-507, 2003.
- Keerthi S. S., Shevade S. K., Bhattacharyya C. and Murthy
K. R. K., Improvements to Platt's SMO algorithm for SVM classifier
design. Neural Computation, 13(3), pp. 637-649, 2001.
- Shevade S. K., Keerthi S. S., Bhattacharyya C. and Murthy
K. R. K., Improvements to SMO algorithm for SVM regression.
IEEE Transactions on Neural Networks, 11(5), pp. 1188-1194, 2000.
- Keerthi S. S., Shevade S. K., Bhattacharyya C. and Murthy
K. R. K., A fast iterative nearest point algorithm for support vector
machine classifier design. IEEE Transactions on Neural Networks,
11(1), 124-136, 2000.
Conference Papers
- Vijaikumar M., Shirish Shevade and M. N. Murty. GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommdendation.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020.
- G. P. Shrivatsa Bhargav, Michael Glass, Dinesh Garg, Shirish Shevade, Saswati Dana, Dinesh Khandelwal, L. Venkata Subramaniam and Alfio Gliozzo. Translucent Answer Predictions in Multi-Hop Reading Comprehension. Thirty-fourth AAAI Conference on Artificial
Intelligence (AAAI), 2020.
- Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade and Vinod Ganapathy. ActiveThief: Model Extraction using Active Learning and Unannotated Data. Thirty-fourth AAAI Conference on Artificial
Intelligence (AAAI), 2020.
- Rahul Gupta, Aditya Kanade and Shirish Shevade. Neural Attribution for Semantic Bug-Localization in Student Programs. Thirty-third Conference on Neural Information Processing Systems
(NeurIPS), 2019.
- Vijaikumar M., Shirish Shevade and M. N. Murty. SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019.
- Rahul Gupta, Aditya Kanade and Shirish Shevade. Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. Thirty-Third AAAI Conference on Artificial
Intelligence (AAAI), 2019.
- Anusha Kasinikota, P. Balamurugan and Shirish Shevade. Modeling Label Interactions in Multi-Label Classification: A Multi-structure SVM Perspective. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018.
- Deepak P., Dinesh Garg and Shirish Shevade, Latent Space Embedding for Retrieval in
Question-Answer Archives. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.
- Divya Padmanabhan, Satyanath Bhat, Prabhuchandran K. J., Shirish Shevade and
Narahari Yadati, A Dominant Strategy Truthful, Deterministic Multi-Armed
Bandit Mechanism with Logarithmic Regret. 16th International Conference on
Autonomous Agents and Multiagent Systems (AAMAS), (Accepted as Extended Abstract), 2017.
- Vishal Kakkar, Shirish Shevade, S. Sundararajan and Dinesh Garg, A Sparse
Nonlinear Classifier Design using AUC Optimization. SIAM International Conference on Data
Mining (SDM), 2017.
- Rahul Gupta, Soham Pal, Aditya Kanade and Shirish Shevade, DeepFix: Fixing
Common C Language Errors by Deep Learning. Thirty-First AAAI Conference on Artificial
Intelligence (AAAI), 2017.
- Divya Padmanabhan, Satyanath Bhat, Shirish Shevade and
Y. Narahari,
Topic Model based Multi-Label Classification. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2016.
- P.K. Srijith, P. Balamurugan and Shirish Shevade,
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2016.
- Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish Shevade and
Y. Narahari,
A Robust UCB Scheme for Active Learning in Regression from Strategic
Crowds. International Joint Conference on Neural Networks (IJCNN), 2016.
- P. Balamurugan, Anusha Posinasetti and Shirish Shevade,
ADMM for Training Sparse Structural SVMs with Augmented $\ell_1$ Regularization,
SIAM International Conference on Data Mining (SDM), 2016.
- Goutham Tholpadi, Chiranjeeb Bhattacharyya and Shirish Shevade,
Translation Induction on Indian Language Corpora using
Translingual Themes from Other Languages. 16th International Conference on
Intelligent Text Processing and Computational Linguistics (CICLing), 2015.
- P.K. Srijith and Shirish Shevade, Gaussian Process Multi-Task
Learning Using Joint Feature Selection. European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2014.
- P.K. Srijith, Shirish Shevade and S. Sundararajan, Semi-supervised Gaussian Process Ordinal Regression. European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2013.
- Punya Murthy Chinta, Balamurugan Palaniappan, Shirish
Shevade and M. Narasimha Murty, Optimizing F-Measure with Non-Convex Loss and Sparse Linear Classifiers. International Joint Conference on Neural Networks (IJCNN), 2013.
- Tanuja Ganu, Shirish Shevade and S. Sundararajan, Sparse Max-Margin Multiclass and Multi-label Classifier Design
for Fast Inference. SIAM International Conference on Data Mining (SDM), 2013.
- S. Sathiya Keerthi, S. Sundararajan and Shirish Shevade,
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With
General Losses. International Conference on Computational Linguistics (COLING), 2012.
- P. Balamurugan, Shirish Shevade, and T. Ravindra Babu,
A Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.
IEEE International Conference on Data
Mining (ICDM), 2012.
- P.K. Srijith, Shirish Shevade and S. Sundararajan, A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Joint Conference on Artificial Intelligence (AI), 2012.
- P.K. Srijith and Shirish Shevade, Validation Based Sparse Gaussian Processes for Ordinal Regression. International Conference on
Neural Information Processing (ICONIP), 2012.
- P.K. Srijith, Shirish Shevade and S. Sundararajan, Validation Based Sparse Gaussian Processes for Ordinal Regression. International Conference on
Neural Information Processing (ICONIP), 2012.
- Sneha Chaudhari and Shirish Shevade, Learning from Positive and Unlabelled Examples using Maximum Margin Clustering.
International Conference on
Neural Information Processing (ICONIP), 2012.
- Dinesh Garg, S. Sundararajan, S. Bhattacharya and Shirish Shevade,
Mechanism Design for Cost Optimal PAC
Learning in the Presence of Strategic Noisy Annotators.
Uncertainty in Artificial Intelligence (UAI), 2012.
- P. Balamurugan, Shirish Shevade and Ravindra Babu T., Efficient Algorithms for Linear Summed Error Structural SVMs. International Joint Conference on Neural Networks (IJCNN), 2012.
- G. Tholpadi, M. K. Das, C. Bhattacharyya and S. Shevade, Cluster Labeling for Multilingual Scatter/Gather using
Comparable Corpora. European Conference on
Information Retrieval (ECIR), 2012.
- S. Sathiya Keerthi, Bigyan Bhar, S. Sundararajan and Shirish Shevade,
Semi-Supervised SVMs for Classification with Unknown Class Proportions and a Small Labeled Dataset. 20th ACM Conference on Information and Knowledge
Management (CIKM), 2011.
- P. Balamurugan, Shirish Shevade, S. Sundararajan and S. Sathiya Keerthi,
A Sequential Dual Method for Structural SVMs. SIAM International
Conference on Data Mining (SDM), 2011. Software
- Dinesh Garg, S. Sundararajan and Shirish Shevade, A Game Theoretic
Approach for Feature Clustering and Its Application to Feature Selection.
Pacific-Asia Conference on Knowledge Discovery
and Data Mining (PAKDD), 2011.
- Amrish Patel, S. Sundararajan and Shirish Shevade, Semi-supervised
Classification using Sparse Gaussian Process Regression, International Joint conference on Artificial Intelligence (IJCAI), 2009.
- S. Asharaf, M. Narasimha Murty, and S.K. Shevade, Multiclass Core Vector Machine, International Conference on Machine Learning (ICML), 2007.
- S. K. Shevade and W. Chu, Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression, IEEE International Conference on Data Mining ( ICDM), 2006.
- S. Asharaf, M. Narasimha Murty, and S.K. Shevade, Cluster Based Core Vector Machine, IEEE International Conference on Data Mining ( ICDM), 2006.
- S. Asharaf, S.K. Shevade, and M. Narasimha Murty, Scalable non-linear support vector machine using hierarchical clustering, International Conference on Pattern Recognition (ICPR), 2006.
- J. Saketha Nath and S. K. Shevade, An efficient clustering scheme using support vector methods, Indian International conference on Artificial Intelligence (IICAI), 2005.
- S.K. Shevade, S. Sundararajan and S.S. Keerthi, Predictive approaches for sparse model learning, International conference on
Neural Information Processing (ICONIP), 2004.
- S.S. Keerthi and S. K. Shevade, SMO algorithm for least squares SVM,
International Joint Conference on Neural Networks (IJCNN), 2003.
- Keerthi S. S., Kaibo D., Shevade S. K. and Poo A. N.,
A fast dual algorithm for kernel logistic regression, International Conference on Machine Learning (ICML), 2002.