Technical Program

Technical Program

Research Session

Research Session # 1: Machine Learning
Thursday, January 5, 2023, 11:00 am - 01:00 pm
Venue: VMCC Auditorium
Session Code Authors Title
RT1-01 Santhosh B. Gandreti and Sastry P. S. Efficient Depth-First Search Approach for Mining Injective General Episodes
RT1-02 Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy and Vineeth N Balasubramanian Retro-KD: Past States for Regularizing Targets in Teacher-Student Learning
RT1-03 Sahel Mohammad Iqbal and Subhankar Mishra Neural Networks at a Fraction with Pruned Quaternions
RT1-04 Amit Chandak, Purushottam Kar and Piyush Rai Gradient Perturbation-based Efficient Deep Ensembles
RT1-05 Sairam Utukuru, Radha Krishna Pisipati and Kamalakar Karlapalem Missing Data Resilient Ensemble Subspace Decision Tree Classifier
RT1-06 Harshad Khadilkar and Hardik Meisheri Leveraging Possible Causal Relationships in Reinforcement Learning
RT1-07 Furqan Ahmed Shaik, Thejasvi Konduru, Girish Varma and Kishore Kothapalli Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product Framework
RT1-08 Avirup Saha and Balaji Ganesan Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior
Research Session # 2: Language and Retrieval
Thursday, January 5, 2023, 03:30 pm - 05:00 pm
Venue: VMCC Auditorium
Session Code Authors Title
RT2-01 Dwijesh Gohil, Shivangi Bithel and Srikanta Bedathur LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval
RT2-02 Vikanksh Nath, Vipul Chauhan and Lipika Dey Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering
RT2-03 Tejpalsingh Siledar, Jigar Makwana and Pushpak Bhattacharyya Aspect-Sentiment-based Opinion Summarization using Multiple Information Sources
RT2-04 Manish Singh and Manish Shrivastava BRR-QA: Boosting Ranking and Reading in Open-Domain Question Answering
RT2-05 Anuj Khare and Amit Awekar Surface Name Errors in Wikipedia
Research Session # 3: Data and Knowledge Management
Friday, January 6, 2023, 11:00 am - 01:00 pm
Venue: VMCC Auditorium
Session Code Authors Title
RT3-01 Nandini Ramanan, Phillip Odom, Kristian Kersting and Sriraam Natarajan Active Feature Acquisition via Human Interaction in Relational domains
RT3-02 Jayadev Naram, Tanmay Sinha and Pawan Kumar Generalized Structured Low-Rank Tensor Learning
RT3-03 Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta and Srikanta Bedathur Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases
RT3-04 Akshay Gupta, Suresh Kumar and Sreenivasa Kumar P Solving age-word problems using domain ontology and BERT
RT3-05 Sandeep Hans, Diptikalyan Saha and Aniya Aggarwal Explainable Data Imputation using Constraints
Poster Lightning Talks
RTP-01 Neha Bansal, Shelly Sachdeva and Lalit K Awasthi A workload-driven approach for automatic schema generation for document stores
RTP-02 Samruddhi Deshmukh, Amartansh Dubey and Ross Murch Robust Covariance Matrix Estimation using Random Matrix Theory
RTP-03 Sparsh Gupta, Ayshika Kapoor and Dheeraj Kumar A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing Systems
RTP-04 Puja Banerjee, Siddhartha Raj and Dr. Rajesh P. Barnwal Machine versus Human Attention: A comparative study of different transfer learning models
RTP-05 Uma Priya D and P. Santhi Thilagam Extracting Schema Variants from JSON Collections using JSVTree
RTP-06 Shubham Jain and P.K. Srijith Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation
RTP-07 Akshay Parekh, Ashish Anand and Amit Awekar Relation Classification Model Performance as a Function of Dataset Label Noise
Sister Conference Talks
Friday, January 6, 2023, 02:00 pm - 03:30 pm
Venue: VMCC Auditorium
Session Code Presenter Title
INV-01 Chetan Arora
(IIT Delhi)
Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
INV-02 Rajdeep Mukherjee
(IIT Kharagpur)
MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs
INV-03 Sandeep Juneja
(TIFR, Mumbai)
Optimal Best-Arm Identification Methods for Tail-Risk Measures. NeurIPS 2021.

Research Session

Applied Data Science Session # 1:
Thursday, January 5, 2023, 05:30 pm - 07:00 pm
Venue: VMCC Auditorium
Session Code Authors Title
ADS1-01 Surya Teja Tunuguntla, Arpan Shrivastava, Alok Mathur, Abhay Shukla and Dipyaman Banerjee Customer informatics by Embedding SMS Headers
ADS1-02 Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan and Tony Tang Global Explanations for Multivariate time series models
ADS1-03 Abhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose and Shaurya Agarawal FloorGAN: Generative Network for Automated Floor Layout Generation
ADS1-04 Petchiammal A, Briskline Kiruba S, Murugan D and Pandarasamy A Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification and Benchmarking
Applied Data Science Session # 2:
Friday, January 6, 2023, 04:00 pm - 05:30 pm
Venue: VMCC Auditorium
Session Code Authors Title
ADS2-01 Ajay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh and Arunchandar Vasan Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping
ADS2-02 Pranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah and Harshad Khadilkar Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce
ADS2-03 Balamurali A R, Pratyush Pathnaik, Junaid Ahmed, Shanthi Lakshmi, Bhawna Sati and Rahul Ranganathan Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macro-nutrient Requirements
ADS2-04 Spurthy Maria Pais, Shrutilipi Bhattacharjee and Anand Kumar Madasamy Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine Learning
Applied Data Science Session # 3:
Saturday, January 7, 2023, 11:00 am - 01:10 pm
Venue: VMCC Auditorium
Session Code Authors Title
ADS3-01 Roy Bar-Haim, Lilach Eden, Yoav Kantor, Vikas Agarwal, Mark Devereux, Nisha Gupta, Arun Kumar, Matan Orbach and Michael Zan Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud
ADS3-02 Tanuj Sur, Aaditree Jaisswal and Venkatesh Vinayakarao Mathematical Expressions in Software Engineering Artifacts
ADS3-03 Meet Maheshwari, Binay Gupta, Anirban Chatterjee and Kunal Banerjee A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network Monitoring
ADS3-04 Manisha Dubey, Ragja Palakkadavath and P.K. Srijith Event Uncertainty using Ensemble Neural Hawkes Process
ADS3-05 Anand Subramanian, Praveen Kumar Suresh and Sudarsun Santhiappan A robust section identification method for scanned electronic health records
ADS3-06 Prateek Chhikara, Harshul Kuhar, Anil Goyal and Chirag Sharma DIGITOUR: Automatic Digital Tours for Real-Estate Properties
ADS3-07 Bharath Sripathy, Harinath Krishnamoorthy and Sudarsun Santhiappan BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells
ADS3-08 Saptarshi Misra, Pranay Dugar, Anirban Chatterjee, Lalitdutt Parsai and Kunal Banerjee Designing a Vision Transformer based Enhanced Text Extractor from Product Images

Demo Session

Demo Session # 1
Thursday, January 5, 2023, 11:00 am - 01:00 am
Venue: LH21
Session Code Authors Title
DT-01 Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen and Srinivas Pusapati xEM: Explainable Entity Matching in Customer 360
DT-02 Badal Gupta, Anil Goyal, Chirag Sharma and Divyansh Kumar RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate properties
DT-03 Sohom Ghosh and Sudip Kumar Naskar FLUEnT: Financial Language Understandability Enhancement Toolkit  
DT-04 Ayush Maheshwari, Ajay Ravindraan, Venkatapathy Subramanian and Ganesh Ramakrishnan UDAAN - Machine Learning based Post-Editing tool for Document Translation
DT-05 Chandrashekar Ramanathan, Ram S and Rahul Murali Shankar TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for Analytics

Young Researchers’ Symposium

YRS Session # 1: 
Thursday, January 5, 2023, 05:30 pm - 06:07 pm
Venue: LH21
Session Code Authors Title
YRS1-01 Shriraj Sawant Understanding catastrophic forgetting for adaptive deep learning
YRS1-02 Alessandro Temperoni, Mauro Dalle Lucca Tosi and Martin Theobald Efficient Hessian-based DNN Optimization via Chain-Rule Approximation
YRS1-03 Snehkumar Shahani, Dr. Jibi Abraham and Ramanathan Venkateswaran Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed Environment
YRS1-04 Basant Pandagre and Manish Narwaria Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?
YRS1-05 Nidhi Goyal, Radhika Mamidi, Niharika Sachdeva and Ponnurangam Kumaraguru Warning: It’s a scam!! Towards understanding the Employment Scams using Knowledge Graphs
YRS1-06 Suresh Kumar and Sreenivasa Kumar P. Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPs
YRS1-07 Jyotirmaya Shivottam and Subhankar Mishra. DeepHalo DeepHalo - Finding Dark Matter Halo Substructure Using Deep Learning
YRS1-08 Manan Singh, Kancheti Sai Srinivas, Shivam Gupta, Ganesh Ghalme, Shweta Jain and Narayanan C. Krishnan Algorithmic Recourse based on User’s Feature-order Prefer
YRS Session # 2:
Thursday, January 5, 2023, 06:17 pm - 07:00 pm
Venue: LH21
Session Code Authors Title
YRS2-01 Sohom Ghosh and Sudip Kumar Naskar Using Natural Language Processing to Enhance Understandability of Financial Texts
YRS2-02 Armaan Garg Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer Classification
YRS2-03 Vridhi Rohira, Shivam Chaudhary, Sudip Das and Krishna Prasad Miyapuram Automatic Epilepsy Detection from EEG signals
YRS2-04 Venkat Suprabath Bitra, Shweta Verma and B. Tirumala Rao Machine Learning and Convolutional Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman Spectra
YRS2-05 Rodda Indu and S. Durga Bhavani Visualization of the Dynamics in Character Networks using Social Network Analysis
YRS2-06 Shivam Chaudhary, Krishna Prasad Miyapuram and Derek Lomas Predicting drum beats from high density Brain Rhythms
YRS2-07 Seshu Damarla, Xiuli Zhu and Madhusree Kundu Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN
YRS2-08 Aadesh Desai, Eshan Gujarathi, Saagar Parikh, Sachin Yadav, Zeel Patel and Nipun Batra Deep Gaussian Processes for Air Quality Inference
YRS2-09 Shruti Sureshan and Debasis Das RNFSL: Relation Network in Anomaly Detectionence