Research Track
Full Papers
- AGGLIO: Global Optimization for Locally Convex Functions
Debojyoti Dey, Bhaskar Mukhoty and Purushottam Kar
- Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget
Omkar Shelke, Hardik Meisheri and Harshad Khadilkar
- Calling Out Bluff: Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems
Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li and Rajiv Ratn Shah
- Time Series Representation Learning with Contrastive Triplet Selection
Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri and Timothy Dinger
- An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami, Nandan Sudarsanam and Balaraman Ravindran
- Extraction of Product Specifications from the Web – Going Beyond Tables and Lists
Govind K Gangadhar and Ashish Kulkarni
- A Riemannian Approach to Extreme Classification Problems
Jayadev Naram, Tanmay Sinha and Pawan Kumar
- IrisIndexNet: Indexing on Iris Databases for Faster Identification
Geetika Arora, Shantanu Vichare and Kamlesh Tiwari
- Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chaudhary and Balaraman Ravindran
- VizAI : Selecting Accurate Visualizations of Numerical Data
Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar and Srikanta Bedathur
- Universalization of Any Adversarial Attack using Very Few Test Examples
Sandesh Kamath, Amit Deshpande, Venkata Subrahmanyam and Vineeth Balasubramanian
Short Papers
- Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval
Dwaipayan Roy, Mandar Mitra, Philipp Mayr and Amritap Chowdhury
- Fine Grained Classification of Personal Data Entities with Language Models
Abhinav Nagpal, Riddhiman Dasgupta and Balaji Ganesan
- Domain specific ontologies from Linked Open Data (LOD)
Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal and Seema Nagar
- Data Synthesis for Testing Black-Box Machine Learning Models
Diptikalyan Saha, Aniya Aggarwal and Sandeep Hans
- Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs
Athul M A and Arun Rajkumar
- Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach
Neelamadhav Gantayat and Prateeti Mohapatra
- AdvCodeMix: Adversarial Attack on Code-Mixed Data
Sourya Dipta Das, Ayan Basak, Soumil Mandal and Dipankar Das
Applied Data Science
Full Papers
- Time-series Data Analysis, Crop Price Forecasting, Data Quality of Time-series, Context-based Model Selection
Ayush Jain, Smit Marvaniya, Shantanu Godbole and Vitobha Munigala
- ComParE : A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms
Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas and Sanjay Agrawal
- FoodNet: Simplifying Online Food Ordering with Contextual Food Combos
Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T M and Jairaj Sathyanarayana
- Learning to Predict Two-Wheeler Travel Distance
Gaurav Pawar, Abhinav Ganesan, Ritwik Moghe, Bharat Nayak, Tanya Khanna and Kranthi Mitra Adusimilli
- An Intelligent Recommendation-cum-Reminder System
Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya and Shitala Prasad
- GCFI++: Embedding and Frequent Itemset based Incremental Hierarchical Clustering with Labels and Outliers
Vini Dixit
- Diagnosing COVID-19 using AI based Medical Image Analysis
Varad Srivastava and Ruchilekha
- Cost-Optimized Video Transfer using Real-Time Super Resolution Convolutional Neural Networks
Ishaan Lodha, Lakshana Kolur, Keerthan Krishnan, Kumar D, Dinakar Sitaram and Siddhartha Nandi
- Automated Incident Location Identification for EMS from Ambulance Geospatial Data
Sruthikeerthi Nandita R, Goutham Zampani, Gokul S Krishnan, Gitakrishnan Ramadurai and Balaraman Ravindran
- Customer Support Chat Intent Classification using Weak Supervision and Data Augmentation
Sumanth Prabhu, Aditya Kiran Brahma and Hemant Misra
Short Papers
- SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification
Rohit Ramaprasad and Sundaresan Raman
- Study of Equities using Signed Social Network
Madhav Agrawal, Shubham Sharma, Amit A. Nanavati and Sougata Mukherjea
- Vastr-GAN: Versatile Apparel Synthesised from Text using a Robust Generative Adversarial Network
Hetvi Shastri, Dhruvi Lodhavia, Palak Purohit, Ronak Kaoshik and Nipun Batra
- Enhanced Text Classification using Proxy Labels and Knowledge Distillation
Rohan Sukumaran, Sumanth Prabhu and Hemant Misra
- Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows
Abhinav Gupta, Supratim Ghosh and Anulekha Dhara
Demo Track
- Aletheia: A Fake News Detection System for Hindi
Jathin Badam, Akash Bonagiri, Kvln Raju and Dipanjan Chakraborty
- An Application to Generate Style Guided Compatible Outfit
Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah and Suyash Agarwal
- ReviewMT: Sentiment Preserved E-commerce Review Translation System
Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavraj, Nikesh Garera and Asif Ekbal
- VPER: Visual Product Entity Recognition for Fashion-wear
Viral Parekh, Surbhi Mathur, Soma Biswas and Karimulla Shaik
- Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization
Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath and Dave Wenk
- Discussion Forum Analyzer: A tool for finding the quality of affirmation and identifying points of intervention in an academic discussion forum
Aparna Lalingkar Lalingkar, Parithimalan A, Advait Lonkar, Prakhar Mishra, Sridhar Mandyam and Srinath Srinivasa
- Accurate and Real Time Assisted Cataloging in E-commerce using Dual Images
Haricharan Aragonda, Karimulla Shaik, Harshit Jain and Samir Shah
Young Researchers’ Symposium
- Local Linearity and Double Descent in Catastrophic Overfitting
Varun Sivashankar and Nikil Selvam
- Quantum Algorithm for Linear Regression for Large Feature-Set
Amey Kulkarni and Devvrat Joshi
- Chemistry Inspired Molecular Representation for Property Prediction
Guna Sekhar Gedela, Joe Bobby and Nirav Bhatt
- Network Enhancement using Spectral Properties
Abhishek Roy and Sandeep Kumar
- PPDL – Privacy Preserving Deep Learning Using Homomorphic Encryption
Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti and Uttam Kumar
- Population-centric Profiling with Social Data for Large-scale Epidemiological studies
Reshma Unnikrishnan, Sowmya Kamath and V S Ananthanarayana
- Convergence time analysis of Asynchronous Distributed Artificial Neural Networks
Mauro Dalle Lucca Tosi, Vinu E. Venugopal and Martin Theobald
- VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data
Ankit Gupta, Aashu Khodwal and Nidhi Pal
- Image Caption Generator using Siamese Graph Convolutional Networks and LSTM
Athulkumar R, Aarchi Agrawal, K S Ashin Shanly, Sudip Das and Nidhin Harilal
- Solving TC-type AWPs using external knowledge & learning
Suresh Kumar and P Sreenivasa Kumar
- A data driven approach for Sanskrit Derivative Nouns analysis
Arun Kumar Singh, Sushant Dave, Shresth Mehta and Prathosh A.P.
- Analysis of Image generation using Scene graphs
Shril Mody and Janvi Thakkar
- Fair Federated Learning for Heterogeneous Data
Samhita Kanaparthy, Manisha Padala, Sankarshan Damle and Sujit Gujar
- Program Synthesis: Does Feedback Help?
Harsh Patel, Shivam Sahni, Varun Jain, Praveen Venkatesh, Mrinal Anand and Mayank Singh
- Towards Building a Flexible Online Learning Model for Data Stream Classification
Deeksha Aggarwal, Uttam Kumar and J. Senthilnath
- Towards Developing Better Object Detectors for Real-World Use
Akshay Gupta and Biplav Srivastava
- Ensemble Learning Approach for Short-term Energy Consumption Prediction
Sujan Reddy A, Akashdeep S, Harshvardhan R and Sowmya Kamath S
- Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms
Gadi Jaya Sathwika, Oswald C and Arnab Bhattacharya
- Making Fractional Distances work in the presence of White Noise – Motivation and Challenges
Namasivayam Kalithasan, Megha Gupta and Balasubramaniam Jayaram
- Probing TryOnGAN
Saurabh Kumar and Nishant Sinha
- Towards Continuous Respiration Monitoring Using Mask
Neel Patel, Rahul Gupta and Anas Ali
- A SPARQL to Cypher Transpiler: Proposal and Initial Results
Lakshya A Agrawal, Nikunj Singhal and Raghava Mutharaju
- Indian Classical Music Synthesis
Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni and Mayank Singh
- SciPred: An end to end approach to classify predatory journals
Poorva Satish Bedmutha and Manas Satish Bedmutha
