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Monolith to Microservices: Representing Application Software through Heterogeneous GNN



Alex Mathai , Sambaran Bandyopadhyay , Utkarsh Desai , Srikanth Tamilselvam


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Graph Neural Network to Dilute Outliers for Refactoring Monolith Application



Utkarsh Desai , Sambaran Bandyopadhyay , Srikanth Tamilselvam

* Published: AAAI 2021 

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Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks



Alex Mathai , Shreya Khare , Srikanth Tamilselvam , Senthil Mani


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Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions



Utkarsh Desai , Srikanth Tamilselvam , Jassimran Kaur , Senthil Mani , Shreya Khare


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"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets



Ameya Prabhu , Riddhiman Dasgupta , Anush Sankaran , Srikanth Tamilselvam , Senthil Mani

* NeurIPS 2019, New in ML Group 

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Coverage Testing of Deep Learning Models using Dataset Characterization



Senthil Mani , Anush Sankaran , Srikanth Tamilselvam , Akshay Sethi


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A Visual Programming Paradigm for Abstract Deep Learning Model Development



Srikanth Tamilselvam , Naveen Panwar , Shreya Khare , Rahul Aralikatte , Anush Sankaran , Senthil Mani


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"Let me convince you to buy my product ... ": A Case Study of an Automated Persuasive System for Fashion Products



Vitobha Munigala , Srikanth Tamilselvam , Anush Sankaran

* ML4Creativity workshop at SIGKDD 2017 

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