Saturday, January 8, 2022 |
Moved to Fully Virtual sessions on AirMeet |
8:30-10:15am |
Opening 2: KeynoteSession Chair: Yogesh Simmhan |
8:30-9:00am |
Opening Remarks: General Chairs, PC Chairs |
9:00-10:15am |
Keynote 2: Prof. Jayant Haritsa (IISc)
Shedding Light on Opaque Database Queries |
10:15-10:30am |
Break |
10:30-12:00pm |
Research-BP: Best Research Paper Finalists’ SessionSession Chair: Balaji Vasan Srinivasan |
10:30-11:00am |
AGGLIO: Global Optimization for Locally Convex Functions
Debojyoti Dey, Bhaskar Mukhoty and Purushottam Kar |
11:00-11:30am |
Universalization of Any Adversarial Attack using Very Few Test Examples
Sandesh Kamath, Amit Deshpande, Venkata Subrahmanyam and Vineeth Balasubramanian |
11:30-12:00am |
Time Series Representation Learning with Contrastive Triplet Selection
Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri and Timothy Dinger |
12:00-1:00pm |
Break |
1:00-2:30pm |
ADS-BP: Best Applied Data Science (ADS) Paper Finalists’ SessionSession Chair: Amith Singhee |
1:00-1:30pm |
FoodNet: Simplifying Online Food Ordering with Contextual Food Combos
Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T M and Jairaj Sathyanarayana |
1:30-2:00pm |
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 |
2:00-2:30pm |
Towards Context-based Model Selection for Improved Crop Price Forecasting
Ayush Jain, Smit Marvaniya, Shantanu Godbole and Vitobha Munigala |
2:30-3:00pm |
Break |
3:00-4:00pm |
Keynote 3: Prof. Vasanthi Srinivasan (IIM-Bangalore)Session Chair: Srujana Merugu |
4:00-4:30pm |
Closing 2: Awards and Recognitions Session Chairs: Gargi Dasgupta, Yogesh Simmhan |
Technical Program
- Debojyoti Dey, Bhaskar Mukhoty and Purushottam Kar, AGGLIO: Global Optimization for Locally Convex Functions
- Sandesh Kamath, Amit Deshpande, Venkata Subrahmanyam and Vineeth Balasubramanian, Universalization of Any Adversarial Attack using Very Few Test Examples
- Yuan-Chi Chang, Dharmashankar Subramanian, Raju Pavuluri and Timothy Dinger, Time Series Representation Learning with Contrastive Triplet Selection
- Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T M and Jairaj Sathyanarayana, FoodNet: Simplifying Online Food Ordering with Contextual Food Combos
- Koyel Mukherjee, Deepanshi Seth, Prachi Mittal, Nuthi S. Gowtham, Tridib Mukherjee, Dattatreya Biswas and Sanjay Agrawal, ComParE : A User Behavior Centric Framework for Personalized Recommendations in Skill Gaming Platforms
- Ayush Jain, Smit Marvaniya, Shantanu Godbole and Vitobha Munigala, Towards Context-based Model Selection for Improved Crop Price Forecasting
20mins for full papers, 10mins for short papers
- Sai Kiran Narayanaswami, Nandan Sudarsanam and Balaraman Ravindran, An Active Learning Framework for Efficient Robust Policy Search (Full)
- Geetika Arora, Shantanu Vichare and Kamlesh Tiwari, IrisIndexNet: Indexing on Iris Databases for Faster Identification (Full)
- Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal and Seema Nagar, Domain specific ontologies from Linked Open Data (LOD) (Short)
- Athul M A and Arun Rajkumar, Hyper-IMRANK: Ranking-based Influence Maximization for Hypergraphs (Short)
- Diptikalyan Saha, Aniya Aggarwal and Sandeep Hans, Data Synthesis for Testing Black-Box Machine Learning Models (Short)
20mins for full papers, 10mins for short papers
- Govind K Gangadhar and Ashish Kulkarni, Extraction of Product Specifications from the Web – Going Beyond Tables and Lists (Full)
- Omkar Shelke, Hardik Meisheri and Harshad Khadilkar, Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget (Full)
- Anubha Kabra, Mehar Bhatia, Yaman Kumar Singla, Junyi Jessy Li and Rajiv Ratn Shah, Calling Out Bluff: Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems (Full)
- Neelamadhav Gantayat and Prateeti Mohapatra, Using Semantic Role Knowledge for Relevance Ranking of Key Phrases in Documents: An Unsupervised Approach (Short)
- Sourya Dipta Das, Ayan Basak, Soumil Mandal and Dipankar Das, AdvCodeMix: Adversarial Attack on Code-Mixed Data (Short)
20mins for full papers, 10mins for short papers
- Jayadev Naram, Tanmay Sinha and Pawan Kumar, A Riemannian Approach to Extreme Classification Problems (Full)
- Sapana Chaudhary and Balaraman Ravindran, Smooth Imitation Learning via Smooth Costs and Smooth Policies (Full)
- Ritvik Vij, Rohit Raj, Madhur Singhal, Manish Tanwar and Srikanta Bedathur, VizAI : Selecting Accurate Visualizations of Numerical Data (Full)
- Dwaipayan Roy, Mandar Mitra, Philipp Mayr and Amritap Chowdhury, Local or Global? A Comparative Study on Applications of Embedding Models for Information Retrieval (Short)
- Abhinav Nagpal, Riddhiman Dasgupta and Balaji Ganesan, Fine Grained Classification of Personal Data Entities with Language Models (Short)
20mins for full papers, 10mins for short papers
- Vini Dixit, GCFI++: Embedding and Frequent Itemset based Incremental Hierarchical Clustering with Labels and Outliers, (Full)
- Sumanth Prabhu, Aditya Kiran Brahma and Hemant Misra, Customer Support Chat Intent Classification using Weak Supervision and Data Augmentation, (Full)
- Rohan Sukumaran, Sumanth Prabhu and Hemant Misra, Enhanced Text Classification using Proxy Labels and Knowledge Distillation, (Short)
- Rohan Saxena, Maheep Chaudhary, Chandresh Kumar Maurya and Shitala Prasad, An Intelligent Recommendation-cum-Reminder System, (Full)
20mins for full papers, 10mins for short papers
- Madhav Agrawal, Shubham Sharma, Amit A. Nanavati and Sougata Mukherjea, Study of Equities using Signed Social Network, (Short)
- Gaurav Pawar, Abhinav Ganesan, Ritwik Moghe, Bharat Nayak, Tanya Khanna and Kranthi Mitra Adusimilli, Learning to Predict Two-Wheeler Travel Distance, (Full)
- Sruthikeerthi Nandita R, Goutham Zampani, Gokul S Krishnan, Gitakrishnan Ramadurai and Balaraman Ravindran, Automated Incident Location Identification for EMS from Ambulance Geospatial Data, (Full)
- Abhinav Gupta, Supratim Ghosh and Anulekha Dhara, Deep Reinforcement Learning Algorithm for Fast Solutions to Vehicle Routing Problem with Time-Windows, (Short)
20mins for full papers, 10mins for short papers
- Hetvi Shastri, Dhruvi Lodhavia, Palak Purohit, Ronak Kaoshik and Nipun Batra, Vastr-GAN: Versatile Apparel Synthesised from Text using a Robust Generative Adversarial Network, (Short)
- Varad Srivastava and Ruchilekha, Diagnosing COVID-19 using AI based Medical Image Analysis, (Full)
- Ishaan Lodha, Lakshana Kolur, Keerthan Krishnan, Kumar D, Dinakar Sitaram and Siddhartha Nandi, Cost-Optimized Video Transfer using Real-Time Super Resolution Convolutional Neural Networks, (Full)
- Rohit Ramaprasad and Sundaresan Raman, SEMFD-Net : A Stacked Ensemble for Multiple Foliar Disease Classification, (Short)
20mins for presentations
- Aletheia: A Fake News Detection System for Hindi, Jathin Badam, Akash Bonagiri, Kvln Raju and Dipanjan Chakraborty
- ReviewMT: Sentiment Preserved E-commerce Review Translation System, Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavraj, Nikesh Garera and Asif Ekbal
- 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
- 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
20mins for presentations
- An Application to Generate Style Guided Compatible Outfit, Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad, Arnab Bhattacharya, Niloy Ganguly, Muthusamy Chelliah and Suyash Agarwal
- VPER: Visual Product Entity Recognition for Fashion-wear, Viral Parekh, Surbhi Mathur, Soma Biswas and Karimulla Shaik
- Accurate and Real Time Assisted Cataloging in E-commerce using Dual Images, Haricharan Aragonda, Karimulla Shaik, Harshit Jain and Samir Shah
5 min video pitch for each paper
- 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
- 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.
- Chemistry Inspired Molecular Representation for Property Prediction, Guna Sekhar Gedela, Joe Bobby and Nirav Bhatt
- Prediction of CardioVascular Disease (CVD) using Ensemble Learning Algorithms, Gadi Jaya Sathwika, Oswald C and Arnab Bhattacharya
- Analysis of Image generation using Scene graphs, Shril Mody and Janvi Thakkar
- Population-centric Profiling with Social Data for Large-scale Epidemiological studies, Reshma Unnikrishnan, Sowmya Kamath and V S Ananthanarayana
- Towards Continuous Respiration Monitoring Using Mask, Neel Patel, Rahul Gupta and Anas Ali
- Image Caption Generator using Siamese Graph Convolutional Networks and LSTM, Athulkumar R, Aarchi Agrawal, K S Ashin Shanly, Sudip Das and Nidhin Harilal
- 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
5 min video pitch for each paper
- Local Linearity and Double Descent in Catastrophic Overfitting, Varun Sivashankar and Nikil Selvam
- Making Fractional Distances work in the presence of White Noise – Motivation and Challenges, Namasivayam Kalithasan, Megha Gupta and Balasubramaniam Jayaram
- Fair Federated Learning for Heterogeneous Data, Samhita Kanaparthy, Manisha Padala, Sankarshan Damle and Sujit Gujar
- Probing TryOnGAN, Saurabh Kumar and Nishant Sinha
- Network Enhancement using Spectral Properties, Abhishek Roy and Sandeep Kumar
- Program Synthesis: Does Feedback Help?, Harsh Patel, Shivam Sahni, Varun Jain, Praveen Venkatesh, Mrinal Anand and Mayank Singh
- A SPARQL to Cypher Transpiler: Proposal and Initial Results, Lakshya A Agrawal, Nikunj Singhal and Raghava Mutharaju
- Convergence time analysis of Asynchronous Distributed Artificial Neural Networks, Mauro Dalle Lucca Tosi, Vinu E. Venugopal and Martin Theobald
- Quantum Algorithm for Linear Regression for Large Feature-Set, Amey Kulkarni and Devvrat Joshi
- PPDL – Privacy Preserving Deep Learning Using Homomorphic Encryption, Nayna Jain, Karthik Nandakumar, Nalini Ratha, Sharath Pankanti and Uttam Kumar
- Towards Building a Flexible Online Learning Model for Data Stream Classification, Deeksha Aggarwal, Uttam Kumar and J. Senthilnath
- VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data, Ankit Gupta, Aashu Khodwal and Nidhi Pal