Shirish K. Shevade

Orcid: 0009-0009-7202-6860

Affiliations:
  • Indian Institute of Science (IISc), Bangalore, India


According to our database1, Shirish K. Shevade authored at least 78 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CodeQueries: A Dataset of Semantic Queries over Code.
Proceedings of the 17th Innovations in Software Engineering Conference, 2024

Tile Size and Loop Order Selection using Machine Learning for Multi-/Many-Core Architectures.
Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2022
Learning to Answer Semantic Queries over Code.
CoRR, 2022

Dominant strategy truthful, deterministic multi-armed bandit mechanisms with logarithmic regret for sponsored search auctions.
Appl. Intell., 2022

Efficient Constituency Tree based Encoding for Natural Language to Bash Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Stateful Detection of Model Extraction Attacks.
CoRR, 2021

ReXPlug: Explainable Recommendation using Plug-and-Play Language Model.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Explainable Natural Language to Bash Translation using Abstract Syntax Tree.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Neural Cross-Domain Collaborative Filtering with Shared Entities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Translucent Answer Predictions in Multi-Hop Reading Comprehension.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Learning for Bug-Localization in Student Programs.
CoRR, 2019

A framework for the extraction of Deep Neural Networks by leveraging public data.
CoRR, 2019

TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Neural Attribution for Semantic Bug-Localization in Student Programs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Reinforcement Learning for Programming Language Correction.
CoRR, 2018

Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Active Learning for Efficient Testing of Student Programs.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017

Multi-Label Classification from Multiple Noisy Sources Using Topic Models.
Inf., 2017

A Sparse Nonlinear Classifier Design Using AUC Optimization.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Latent Space Embedding for Retrieval in Question-Answer Archives.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Dominant Strategy Truthful, Deterministic Multi-Armed Bandit Mechanism with Logarithmic Regret.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

DeepFix: Fixing Common C Language Errors by Deep Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Topic Model Based Multi-Label Classification from the Crowd.
CoRR, 2016

Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification.
CoRR, 2016

ADMM for Training Sparse Structural SVMs with Augmented <i>ℓ</i><sub>1</sub> Regularizers.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Robust UCB scheme for active learning in regression from strategic crowds.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Topic Model Based Multi-Label Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015
A Simple Label Switching Algorithm for Semisupervised Structural SVMs.
Neural Comput., 2015

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs.
Knowl. Inf. Syst., 2014

Gaussian Process Pseudo-Likelihood Models for Sequence Labeling.
CoRR, 2014

Gaussian Process Multi-task Learning Using Joint Feature Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
An Empirical Evaluation of Sequence-Tagging Trainers.
CoRR, 2013

Large Margin Semi-supervised Structured Output Learning.
CoRR, 2013

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Semi-supervised Gaussian Process Ordinal Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Optimizing F-measure with non-convex loss and sparse linear classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
An Additive Model View to Sparse Gaussian Process Classifier Design
CoRR, 2012

Mechanism Design for Cost Optimal PAC Learning in the Presence of Strategic Noisy Annotators.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Efficient algorithms for linear summed error structural SVMs.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Validation Based Sparse Gaussian Processes for Ordinal Regression.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Multi-Task Learning Using Shared and Task Specific Information.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Sequential Alternating Proximal Method for Scalable Sparse Structural SVMs.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora.
Proceedings of the Advances in Information Retrieval, 2012

Extension of TSVM to Multi-Class and Hierarchical Text Classification Problems With General Losses.
Proceedings of the COLING 2012, 2012

A Probabilistic Least Squares Approach to Ordinal Regression.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
A fast quasi-Newton method for semi-supervised SVM.
Pattern Recognit., 2011

A Sequential Dual Method for Structural SVMs.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009
Validation-Based Sparse Gaussian Process Classifier Design.
Neural Comput., 2009

Semi-Supervised Classification Using Sparse Gaussian Process Regression.
Proceedings of the IJCAI 2009, 2009

2007
A Fast Tracking Algorithm for Generalized LARS/LASSO.
IEEE Trans. Neural Networks, 2007

Fast Generalized Cross-Validation Algorithm for Sparse Model Learning.
Neural Comput., 2007

Multiclass core vector machine.
Proceedings of the Machine Learning, 2007

Cluster Based Training for Scaling Non-linear Support Vector Machines.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006
Rough set based incremental clustering of interval data.
Pattern Recognit. Lett., 2006

An efficient clustering scheme using support vector methods.
Pattern Recognit., 2006

Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Cluster Based Core Vector Machine.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Rough support vector clustering.
Pattern Recognit., 2005

A Fast Dual Algorithm for Kernel Logistic Regression.
Mach. Learn., 2005

2004
Predictive Approaches for Sparse Model Learning.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
SMO Algorithm for Least-Squares SVM Formulation.
Neural Comput., 2003

A simple and efficient algorithm for gene selection using sparse logistic regression.
Bioinform., 2003

Multi-category Classification by Soft-Max Combination of Binary Classifiers.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2001
Improvements to Platt's SMO Algorithm for SVM Classifier Design.
Neural Comput., 2001

2000
Improvements to the SMO algorithm for SVM regression.
IEEE Trans. Neural Networks Learn. Syst., 2000

A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst., 2000


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