Shirish K. Shevade

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 42

Top Topics

Active Learning

Natural Language

Attention Mechanism

Top Venues

Publications

Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade
CodeQueries: A Dataset of Semantic Queries over Code. ISEC (2024)
Surya Prakash Sahu, Madhurima Mandal, Shikhar Bharadwaj, Aditya Kanade, Petros Maniatis, Shirish K. Shevade
Learning to Answer Semantic Queries over Code. CoRR (2022)
Shikhar Bharadwaj, Shirish K. Shevade
Efficient Constituency Tree based Encoding for Natural Language to Bash Translation. NAACL-HLT (2022)
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) (2022)
Soham Pal, Yash Gupta, Aditya Kanade, Shirish K. Shevade
Stateful Detection of Model Extraction Attacks. CoRR (2021)
Vijaikumar M, Deepesh V. Hada, Shirish K. Shevade
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. CoRR (2021)
Shikhar Bharadwaj, Shirish K. Shevade
Explainable Natural Language to Bash Translation using Abstract Syntax Tree. CoNLL (2021)
Deepesh V. Hada, Vijaikumar M, Shirish K. Shevade
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model. SIGIR (2021)
M. Vijaikumar, Deepesh V. Hada, Shirish K. Shevade
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation. ICDM (2021)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
Neural Cross-Domain Collaborative Filtering with Shared Entities. ECML/PKDD (1) (2020)
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)
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)
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)
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)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. ECML/PKDD (1) (2019)
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 (2019)
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs. AAAI (2019)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. PReMI (2) (2019)
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
Deep Learning for Bug-Localization in Student Programs. CoRR (2019)
Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
Neural Cross-Domain Collaborative Filtering with Shared Entities. CoRR (2019)
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
Neural Attribution for Semantic Bug-Localization in Student Programs. NeurIPS (2019)
Rahul Gupta, Aditya Kanade, Shirish K. Shevade
Deep Reinforcement Learning for Programming Language Correction. CoRR (2018)
Ishan Rastogi, Aditya Kanade, Shirish K. Shevade
Active Learning for Efficient Testing of Student Programs. AIED (2) (2018)
Ishan Rastogi, Aditya Kanade, Shirish K. Shevade
Active Learning for Efficient Testing of Student Programs. CoRR (2018)
Anusha Kasinikota, Balamurugan Palaniappan, Shirish K. Shevade
Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. PAKDD (1) (2018)
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 (2017)
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)
Deepak P, Dinesh Garg, Shirish K. Shevade
Latent Space Embedding for Retrieval in Question-Answer Archives. EMNLP (2017)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Multi-Label Classification from Multiple Noisy Sources Using Topic Models. Inf. 8 (2) (2017)
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) (2017)
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
A Sparse Nonlinear Classifier Design Using AUC Optimization. SDM (2017)
Rahul Gupta, Soham Pal, Aditya Kanade, Shirish K. Shevade
DeepFix: Fixing Common C Language Errors by Deep Learning. AAAI (2017)
Madhusudan Lakshmana, Sundararajan Sellamanickam, Shirish K. Shevade, Keerthi Selvaraj
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification. CoRR (2016)
Divya Padmanabhan, Satyanath Bhat, Dinesh Garg, Shirish K. Shevade, Y. Narahari
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds. CoRR (2016)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Topic Model Based Multi-Label Classification from the Crowd. CoRR (2016)
Divya Padmanabhan, Satyanath Bhat, Shirish K. Shevade, Y. Narahari
Topic Model Based Multi-Label Classification. ICTAI (2016)
Vishal Kakkar, Shirish K. Shevade, S. Sundararajan, Dinesh Garg
A Sparse Nonlinear Classifier Design Using AUC Optimization. CoRR (2016)
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)
Balamurugan Palaniappan, Anusha Posinasetty, Shirish K. Shevade
Regularizers. SDM (2016)
P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ECML/PKDD (1) (2016)
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. CICLing (1) (2015)
Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan
A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. 27 (10) (2015)
Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. Knowl. Inf. Syst. 38 (3) (2014)
P. K. Srijith, Balamurugan P., Shirish K. Shevade
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. CoRR (2014)
P. K. Srijith, Shirish K. Shevade
Gaussian Process Multi-task Learning Using Joint Feature Selection. ECML/PKDD (3) (2014)
Balamurugan Palaniappan, Shirish K. Shevade, Sundararajan Sellamanickam
Large Margin Semi-supervised Structured Output Learning. CoRR (2013)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Semi-supervised Gaussian Process Ordinal Regression. ECML/PKDD (3) (2013)
Balamurugan Palaniappan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
An Empirical Evaluation of Sequence-Tagging Trainers. CoRR (2013)
Tanuja Ganu, Sundararajan Sellamanickam, Shirish K. Shevade
Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. SDM (2013)
Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty
Optimizing F-measure with non-convex loss and sparse linear classifiers. IJCNN (2013)
Sneha Chaudhari, Shirish K. Shevade
Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering. ICONIP (3) (2012)
P. K. Srijith, Shirish K. Shevade
Multi-Task Learning Using Shared and Task Specific Information. ICONIP (3) (2012)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
A Probabilistic Least Squares Approach to Ordinal Regression. Australasian Conference on Artificial Intelligence (2012)
Sathiya Keerthi Selvaraj, Sundararajan Sellamanickam, Shirish K. Shevade
Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses CoRR (2012)
Sundararajan Sellamanickam, Shirish K. Shevade
An Additive Model View to Sparse Gaussian Process Classifier Design CoRR (2012)
Dinesh Garg, Sourangshu Bhattacharya, S. Sundararajan, Shirish K. Shevade
Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators CoRR (2012)
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)
Balamurugan P., Shirish K. Shevade, T. Ravindra Babu
Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs. ICDM (2012)
Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. ECIR (2012)
P. K. Srijith, Shirish K. Shevade, S. Sundararajan
Validation Based Sparse Gaussian Processes for Ordinal Regression. ICONIP (2) (2012)
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)
Balamurugan Palaniappan, Shirish K. Shevade, T. Ravindra Babu
Efficient algorithms for linear summed error structural SVMs. IJCNN (2012)
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)
Dinesh Garg, Sundararajan Sellamanickam, Shirish K. Shevade
A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection. PAKDD (1) (2011)
Shirish K. Shevade, Balamurugan Palaniappan, S. Sundararajan, S. Sathiya Keerthi
A Sequential Dual Method for Structural SVMs. SDM (2011)
I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty
A fast quasi-Newton method for semi-supervised SVM. Pattern Recognit. 44 (10-11) (2011)
Shirish K. Shevade, S. Sundararajan
Validation-Based Sparse Gaussian Process Classifier Design. Neural Comput. 21 (7) (2009)
Amrish Patel, S. Sundararajan, Shirish K. Shevade
Semi-Supervised Classification Using Sparse Gaussian Process Regression. IJCAI (2009)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA (2007)
S. Sathiya Keerthi, Shirish K. Shevade
A Fast Tracking Algorithm for Generalized LARS/LASSO. IEEE Trans. Neural Networks 18 (6) (2007)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Multiclass core vector machine. ICML (2007)
S. Sundararajan, Shirish K. Shevade, S. Sathiya Keerthi
Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. Neural Comput. 19 (1) (2007)
J. Saketha Nath, Shirish K. Shevade
An efficient clustering scheme using support vector methods. Pattern Recognit. 39 (8) (2006)
S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
Rough set based incremental clustering of interval data. Pattern Recognit. Lett. 27 (6) (2006)
Asharaf S., M. Narasimha Murty, Shirish K. Shevade
Cluster Based Core Vector Machine. ICDM (2006)
Shirish K. Shevade, Wei Chu
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. ICDM (2006)
S. Asharaf, Shirish K. Shevade, M. Narasimha Murty
Rough support vector clustering. Pattern Recognit. 38 (10) (2005)
J. Saketha Nath, Shirish K. Shevade
An Efficient Clustering Scheme using Support Vector Methods. IICAI (2005)
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
A Fast Dual Algorithm for Kernel Logistic Regression. Mach. Learn. 61 (1-3) (2005)
Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
Predictive Approaches for Sparse Model Learning. ICONIP (2004)
Shirish K. Shevade, S. Sathiya Keerthi
A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinform. 19 (17) (2003)
S. Sathiya Keerthi, Shirish K. Shevade
SMO Algorithm for Least-Squares SVM Formulation. Neural Comput. 15 (2) (2003)
S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo
A Fast Dual Algorithm for Kernel Logistic Regression. ICML (2002)
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) (2001)
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) (2000)
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) (2000)