| 2025 | ICS | UJOpt: Heuristic Approach for Applying Unroll-and-Jam Optimization and Loop Order Selection. | Shilpa Babalad, Shirish K. Shevade, Matthew Jacob Thazhuthaveetil, R. Govindarajan |
| 2024 | ICS | Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures. | Shilpa Babalad, Shirish K. Shevade, Matthew Jacob Thazhuthaveetil, R. Govindarajan |
| 2022 | NAACL | Efficient Constituency Tree based Encoding for Natural Language to Bash Translation. | Shikhar Bharadwaj, Shirish K. Shevade |
| 2021 | CoNLL | Explainable Natural Language to Bash Translation using Abstract Syntax Tree. | Shikhar Bharadwaj, Shirish K. Shevade |
| 2021 | ICDM | HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. | M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade |
| 2021 | SIGIR | ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. | Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade |
| 2020 | AAAI | 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 |
| 2020 | AAAI | ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. | Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish K. Shevade, Vinod Ganapathy |
| 2020 | PAKDD | GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. | Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty |
| 2019 | AAAI | Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. | Rahul Gupta, Aditya Kanade, Shirish K. Shevade |
| 2018 | AIED | Active Learning for Efficient Testing of Student Programs. | Ishan Rastogi, Aditya Kanade, Shirish K. Shevade |
| 2018 | PAKDD | Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. | Anusha Kasinikota, P. Balamurugan, Shirish K. Shevade |
| 2017 | AAAI | DeepFix: Fixing Common C Language Errors by Deep Learning. | Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade |
| 2017 | EMNLP | Latent Space Embedding for Retrieval in Question-Answer Archives. | Deepak P, Dinesh Garg, Shirish K. Shevade |
| 2017 | SDM | A Sparse Nonlinear Classifier Design Using AUC Optimization. | Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg |
| 2016 | IJCNN | A Robust UCB scheme for active learning in regression from strategic crowds. | Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari |
| 2016 | ICTAI | Topic Model Based Multi-Label Classification. | Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari |
| 2016 | SDM | ADMM for Training Sparse Structural SVMs with Augmented | P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade |
| 2015 | CICLING | Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. | Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade |
| 2013 | IJCNN | Optimizing F-measure with non-convex loss and sparse linear classifiers. | Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty |
| 2013 | SDM | Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. | Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade |
| 2012 | COLING | Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses. | Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade |
| 2012 | ECIR | Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. | Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade |
| 2012 | ICDM | Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs. | Balamurugan P., Shirish K. Shevade, T. Ravindra Babu |
| 2012 | ICONIP | Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. | Sneha Chaudhari, Shirish K. Shevade |
| 2012 | ICONIP | Multi-Task Learning Using Shared and Task Specific Information. | P. K. Srijith, Shirish K. Shevade |
| 2012 | ICONIP | Validation Based Sparse Gaussian Processes for Ordinal Regression. | P. K. Srijith, Shirish K. Shevade, S. Sundararajan |
| 2012 | IJCNN | Efficient algorithms for linear summed error structural SVMs. | P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu |
| 2012 | UAI | Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators. | Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade |
| 2011 | CIKM | Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. | Sathiya Keerthi Selvaraj, Bigyan Bhar, Sundararajan Sellamanickam, Shirish K. Shevade |
| 2011 | PAKDD | A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. | Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade |
| 2011 | SDM | A Sequential Dual Method for Structural SVMs. | Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi |
| 2009 | IJCAI | Semi-Supervised Classification Using Sparse Gaussian Process Regression. | Amrish Patel, S. Sundararajan, Shirish K. Shevade |
| 2007 | ICML | Multiclass core vector machine. | S. Asharaf, M. Narasimha Murty, Shirish K. Shevade |
| 2006 | ICDM | Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. | Shirish K. Shevade, Wei Chu |
| 2006 | ICDM | Cluster Based Core Vector Machine. | Asharaf S., M. Narasimha Murty, Shirish K. Shevade |
| 2004 | ICONIP | Predictive Approaches for Sparse Model Learning. | Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi |
| 2003 | IJCNN | SMO algorithm for least squares SVM. | S. Sathiya Keerthi, Shirish K. Shevade |
| 2002 | ICML | A Fast Dual Algorithm for Kernel Logistic Regression. | S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo |