Accepted Papers

Research Track - Long Paper

• Uncovering patterns in heavy-tailed networks : A journey beyond scale-free

  Swarup Chattopadhyay, Tanujit Chakraborty, Kuntal Ghosh and Asit Kumar Das

• Revisiting Low Resource Status of Indian Languages in Machine Translation

  Jerin Philip, Shashank Siripragada, Vinay Namboodiri and C V Jawahar

• A Clustering based Selection Framework for Cost Aware and Test-time Feature Elicitation

  Srijita Das, Rishabh Iyer and Sriraam Natarajan

• Edit Based Grading of SQL Queries

  Bikash Chandra, Ananyo Banerjee, Udbhas Hazra, Mathew Joseph and S. Sudarshan

• Bootstrapping Chatbot Interfaces to Databases

  Ashish Mittal, Diptikalyan Saha, Parag Jain, Jaydeep Sen, Manasa Jammi and Karthik Sankaranarayanan

• Learning Knowledge Graph for Target-driven Schema Matching

  Debayan Mukherjee, Atreya Bandyopadhyay, Rajdip Chowdhury and Indrajit Bhattacharya

• Exact Passive Aggressive Algorithm for Multiclass Classification Using Partial Labels

  Maanik Arora and Naresh Manwani

• Provenance Framework for Twitter Data using Zero-Information Loss Graph Database

  Asma Rani, Navneet Goyal and Shashi Gadia

• Neural Compound-Word (Sandhi) Generation and Splitting in Sanskrit Language

  Sushant Dave, Arun Singh, Prathosh A.P. and Brejesh Lall

• Domain-Specific, Semi-Supervised Transfer Learning for Medical Imaging

  Jitender Singh Virk and Deepti R. Bathula

• Deep Domain Adaptation under Label Scarcity

  Amar Azad, Dinesh Garg, Priyanka Agrawal and Arun Kumar

• Bayesian Generative Adversarial Nets with Dropout Inference

  Ragja Palakkadavath and P.K. Srijith

• Reliable Counterfactual Explanations for Autoencoder based Anomalies

  Swastik Haldar, Philips George John and Diptikalyan Saha

• Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning

  Mayukh Das, Devendra Dhami, Yang Yu, Gautam Kunapuli and Sriraam Natarajan

• Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity

  Anant Khandelwal

• Learn to Bind and Grow Neural Structures

  Azhar Shaikh and Nishant Sinha

• Adversarial and Auxiliary Features-Aware BERT for Sarcasm Detection

  Avinash Kumar, Vishnu Teja Narapareddy, Pranjal Gupta, Veerubhotla Aditya Srikanth, Lalita Bhanu Murthy Neti and Aruna Malapati

• GuessTheMusic: Song Identification from Electroencephalography response

  Dhananjay Sonawane, Krishna Miyapuram, Derek Lomas and Bharatesh Rs

• A semi-supervised approach to growing classification trees

  Sudarsun Santhiappan and Balaraman Ravindran

• Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach

  Monidipa Das and Soumya Ghosh

• A Group-to-Group Version of Random Walk Betweenness Centrality

  Iqra Altaf Gillani, Amitabha Bagchi and Sayan Ranu

Research Track - Short Paper

• Fusion of Intrinsic & Extrinsic Sentential Traits for Text Coherence Assessment

  Manish Singh and Manish Shrivastava

• Aided Selection of Sampling Methods for Imbalanced Data Classification

  Deep Sahni, Satya Jayadev Pappu and Nirav Bhatt

• On-Device Document Classification using multimodal features

  Sugam Garg, Harichandana S S and Sumit Kumar

• Intelligent Question Answering using Knowledge Representation for Managed Services

  M Saravanan and Satheesh K Perepu

• Creating Navigable Competency Maps from Learning Resource Corpora

  Shyam Kumar V N, Chaitali Diwan, Srinath Srinivasa and Prasad Ram

• On Camera Pose Estimation for 3D Scene Reconstruction

  Athul Thaliyachira Reji, Shashi Shekhar Jha and Ekta Singla

• Unsupervised Topology Assessment in Smart Homes

  Avirup Mukherjee, Madhumita Mallick, Sandip Chakraborty and Niloy Ganguly

• Detecting Data Accuracy Issues in Textual Geographical Data by a Clustering-based Approach

  Maria Angela Pellegrino, Luca Postiglione and Vittorio Scarano

• Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence

  P. Jayashree, Ballijepalli Shreya and P.K. Srijith

• Evaluation of Causal Inference Techniques for AIOps

  Vijay Arya, Karthikeyan Shanmugam, Pooja Aggarwal, Qing Wang, Prateeti Mohapatra and Seema Nagar

• Distributed representation of tags for Active Zero Shot learning

  Yash Jain and Anurag Roy

• Data-Efficient Training Strategies for Neural TTS Systems

  Prajwal K R and C V Jawahar

• Identification of Food Quality Descriptors in Customer Chat Conversations using Named Entity Recognition

  Aditya Kiran Brahma, Prathyush Potluri, Meghana Kanapaneni, Sumanth Prabhu and Sundeep Teki

• View Based Review Exploration

  Sailaja Rajanala and Manish Singh

• Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks

  Sanket Mishra, Rohit Dwivedula, Varad Kshirsagar and Chittaranjan Hota

• It's LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment

  Surabhi Nath, Vishaal Udandarao and Jainendra Shukla

• Scalable Database Normalization Powered by the Crowd

  Gss Aditya Sairam, Parasuram Kolli, Anudeep Immidisetty, Pranav Kumar, Madhu Sudhan B and Malay Bhattacharyya

Industry Track

• Link prediction techniques to handle tax evasion

  Jithin Mathews, Priya Mehta, Suryamukhi K and Sobhan Babu

• Inferring customer occupancy status in for-hire vehicles using PU Learning

  Vaishnavi Muralidharan, Nandan Sudarsanam and Balaraman Ravindran

• Mining Domain-specific Component-Action Links for Technical Support Documents

  Pooja Aggarwal, Sahil Bansal, Prateeti Mohapatra and Atul Kumar

• Wound and Episode Level Readmission Risk or Weeks to Readmit: Why do patients get readmitted? How Long Does It Take for a patient to get readmitted?

  Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz and Minghsun Liu

• Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning

  Omkar Shelke, Vinita Baniwal and Harshad Khadilkar

• Robust resource demand estimation using hierarchical Bayesian model in a distributed service system

  Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose and Amith Singhee

• Optimizing Interpretation Generation in Natural Language Query Answering for Real Time End Users

  Jaydeep Sen, Ashish Mittal, Diptikalyan Saha and Karthik Sankaranarayanan

• Explainable AI based interventions for pre-season decision making in fashion retail

  Surya Shravan Kumar Sajja, Nupur Aggarwal, Sumanta Mukherjee, Kushagra Manglik, Satyam Dwivedi and Vikas Raykar

• MoDest: Multi-module Design Validation for Documents

  Bhanupriya Pegu, Maneet Singh, Kamal Kant, Karamjit Singh and Tanmoy Bhowmik

• Machine Learning based Batching Prediction System for Food Delivery

  Ritwik Moghe, Sunil Rathee, Bharath Nayak and Kranthi Mitra Adusumilli

• Visually Transparent and Justifiable Rules for Predicting the Aircraft Engine Emissions

  Ishita Srivastava and Akshata Kishore Moharir

• Is it hard to learn a classifier on this dataset?

  Sudarsun Santhiappan, Nitin Shravan and Balaraman Ravindran

Technology Showcase Track

• Genesis: Food Innovation Intelligence

  Sai Sreenivas Kodur

• Solidarity : Enterprise Federated Learning Platform

  Amogh Kamat Tarcar, Sagar Revankar and Sadashiv Borkar

Demo Track

• Analysis and Prioritisation of Potential Gene Variants Powered by Semantic Intelligence

  Asha Subramanian, Aneek Das Bhowmik, Gunjan Pattnayak, Manikanta Vikkurthi and Akshay K S

• ActiveNet: A computer-vision based approach to determine lethargy

  Aitik Gupta and Aadit Agarwal

• An Intelligent Doorbell Design Using Federated Deep Learning

  Vatsal Patel, Sarth Kanani, Tapan Pathak, Pankesh Patel, Muhammad Intizar Ali and John Breslin

• An Interactive Simulator for COVID-19 Trend Analysis

  Jayati Deshmukh, Raksha Pavagada Subbanarasimha, Pooja Bassin, Venkat Suprabath Bitra, Srinath Srinivasa and Anupama Sharma

• Gestop: Customizable Gesture Control of Computer Systems

  Sriram Krishna and Nishant Sinha

• Extracting Tabular data for Question-Answering from Documents

  Palak Jain, Tushar Goel, Ishan Verma, Mohammad Shakir, Lipika Dey and Geetika Sharma

• AART: AI Assisted Review Tool for Marketing Creatives

  Rohit Bhiogade, Paridhi Jain and Himanshu Sharad Bhatt

• Concept Driven Search and Visualization System for Exploring Scientific Repositories

  Aninda Sukla, Abir Naskar, Tushar Goel, Suyash Sangwan, Akshara Rai, Mohammad Shakir, Ishan Verma, Tirthankar Dasgupta and Lipika Dey

• Demo: AI Explainability 360 Toolkit

  Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei and Yunfeng Zhang

Young Researchers' Symposium

• RUEvaL20: Improving Rumour Detection on Social Media using a Deep Convolutional Neural Network

  Rohit Kumar Kaliyar, Pallavi Dash and Lakshaga Jyothi M

• Combinets v2: Improving Conceptual Expansion using SGD

  Atmadeep Banerjee

• An Integrated Method for Realtime 2D Hand Pose Detection

  Nihal Rao and Nishant Sinha

• Towards Designing an Explainable-AI based Solution for Livestock Mart Industry

  Parit Mehta, Rudresh Dwivedi, Ciaran Feeney, Pankesh Patel, Muhammad Intizar Ali and John Breslin

• Lp Subspace Embedding in Input Sparsity Time

  Supratim Shit

• Learning-based Declarative Query Optimization

  Shivani Tripathi

• A Multi-Agent Reinforcement Learning Approach for Stock Portfolio Allocation

  Prahlad Koratamaddi, Karan Wadhwani, Mridul Gupta and Sriram G. Sanjeevi

• OntoSeer: A Tool to Ease the Ontology Development Process

  Pramit Bhattacharyya and Raghava Mutharaju

• A geometric measure of polysemy in Hindi language

  Anmol Goel and Ponnurangam Kumaraguru

• Generative Fashion for Indian Clothing

  Harshil Jain, Rohit Patil, Ronak Kaoshik, Utsav Jethva, Shaurya Agarawal, Ritik Dutta and Nipun Batra

• Reverse Dictionary Using an Improved CBoW Model

  Aarchi Agrawal, Athulkumar R, K S Ashin Shanly, Kavita Vaishnaw and Mayank Singh

• MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset

  Rohit Kumar Kaliyar, Anurag Goswami and Pratik Narang

• Vocabulary-constrained Question Generation with Rare Word Masking and Dual Attention

  Emil Biju

• Appropriate Co-worker Recommendation in Crowdsourcing

  Sankar Kumar Mridha

• Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction

  Akshara P, Shidharth S, Gokul S Krishnan and Sowmya Kamath S

• Adaptive COVID-19 Forecasting via Bayesian Optimization

  Nayana Bannur, Harsh Maheshwari, Sansiddh Jain, Shreyas Shetty, Srujana Merugu and Alpan Raval

• Decentralized Learning with GANs

  Anirudh Kasturi, Atharva Sune and Chittaranjan Hota

• ACL-SQL: Generating SQL Queries from Natural Language

  Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain and Mayank Singh

• An Epidemic Model of social and political campaigns on Twitter

  Saransh Khandelwal and Aurobinda Routray

• Utilising Social Media for Post-Disaster Resource Allocation

  Moumita Basu, Sipra Das Bit and Saptarshi Ghosh

• Model-agnostic information biasing for VQA

  Nikhil Shah, Apoorve Singhal, Chinmay Singh and Yash Khandelwal

• Genealogical Tree Construction of Research Papers

  Mihir Jain, Tanmay Sharma, Aman, Shruti Singh and Mayank Singh

• Review based recommendations with Human-like reasons

  Mohamed Shamir, Arpit Kaushal, Kalyan Reddy, Kavita Vaishnaw and Mayank Singh

• An Entailment Analysis Based Entity Mapping To Improve Automatic Question Generation

  Tharaniya Sairaj Rajarajan and Balasundaram S. R.

• Network Community Analysis based enhancement of Online Discussion forums

  Soundarya Krishnan, Rishab Khincha and Neena Goveas

• Linear Discriminant Analysis for Data Aggregation in Big Data Wireless Sensor Networks

  Radhakrishnan Maivizhi and Palanichamy Yogesh

• Biomedical Network Link Prediction using Neural Network Graph Embedding

  Sumit Kumar, Raj Pranesh and Ambesh Shekhar

• Using Knowledge Graphs to improve Hate Speech Detection

  Poojitha Maheshappa, Binny Mathew and Punyajoy Saha

• Graph Based Hybrid Approach for Long-Tail ItemRecommendation in Collaborative Filtering

  N Sangita Achary and Bidyut Kr. Patra

• An Approach to Identify Provocative and Problematic Content with Social Nociceptor

  Satanik Mitra and Mamata Jenamani