Publications

  • HCA-DBSCAN: HyperCube based Accelerated Density Based Spatial Clustering for Applications with Noise

Sets and Partition Workshop at NeurIPS 2019. PDF

We propose a new clustering algorithm which can significantly reduce the computational complexity of the DBSCAN algorithm while maintaining its accuracy. We achieve an execution time speedup of up to 57% with the proposed algorithm.


  • Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings

Paper presented at NAACL-Textgaphs workshop, New Orleans, US. PDF

We presented an efficient approach to perform word sense disambiguation for polysemous words. In plain speak: How can a system understand what ‘sense’ of a word is being used in a given context (bank the financial institution or a river bank). Our work was featured on the university website and got talked about in the press. Press Release


  • Stanford Crowd ResearchBoomerang:Rebounding the Consequences of Reputation Feedback on Crowdsourcing Platforms- Stanford Crowd Research Initiative.

Paper presented at 29th ACM User Interface Software and Technology Symposium (UIST), Tokyo, Japan. PDF

We introduce Boomerang, a reputation system for crowdsourcing platforms that elicits more accurate feedback by rebounding the consequences of feedback directly back onto the person who gave it.


  • Athena Research CenterIntelligence Analysis of Tay Twitter Bot

Paper  presented at the IEEE International Conference on Contemporary Computing and Informatics. PDF

We perform various Natural Language Processing (NLP) tasks to analyze the intelligence of Microsoft’s Tay twitter bot and propose a generic metric to compare intelligence of bots.


  • Stanford Crowd Research CollectiveDesigning A Constitution for a Self-Governing Crowdsourcing Marketplace 

Accepted at the 5th Edition Of The Collective Intelligence Conference. PDF

We introduce the Daemo constitution, a governance document designed to create a formal process for paid crowdsourcing marketplaces that allows and manages operational changes, driven by its users’ preferences.


Manipal Institute of TechnologyPoDAS: Sensor network based detection and analysis of potholes for real time data using mobile devices 

International Conference on Innovative Research in Engineering and Science (IRES2017) to be held on 16-17 June 2017 at AIT Bangkok. PDF

This paper proposes a novel low cost wireless sensors based end-to-end system called PoDAS (Pothole Detection and Analysis System) which can be deployed across major cities. We discuss multiple implementation models that can be varied based on the needs of individual cities. Our system uses cross validation through multiple sensors to achieve a higher efficiency than some of the previous models that have been proposed.


Preprints:


  • The Rapidly Changing Landscape of Conversational Agents PDF

This survey looks at the various advances in the field of conversational agents starting from rule-based systems to modern deep learning approaches.