Identifying semantic similarity between two texts has many applications in NLP including information extraction and retrieval, word sense disambigua- tion, text summarization and type classi cation. Similarity between ...

Deep learning systems require a large amount of labelled training dataset. However large amount of labelled data is not available in many cases as it requires considerable human effort to label each sample correctly. In ...

The shepherding problem is a problem setting in the multi-agent systems domain. The primary aim is to guide or ‘shepherd’ a swarm of unwilling agents to a destination, with the help of autonomous agents. We explore this ...

Decoy Routing, the use of routers (rather than end hosts) as proxies, shows great promise as an anti-censorship mechanism. To use a Decoy Router, the user sends specially crafted packets, apparently to an uncensored website. ...

Identifying face attributes is an ongoing problem of research which is used in bio-metrics, surveillance etc. In past, researchers have proposed methods which predict single facial attribute at a time. Real-time applications ...

With the advent of big data, graphs have gained popularity as one of the most efficient data storage mechanisms. A graph can not only capture relationships between entities, but it can also store attributes associated with ...

This research aims to improve the diagnosis of neurodevelopmental disorders by using smartphones, focusing on the psychology of eyes through pupil dynamics analysis. We are developing a user-friendly smartphone app to track ...

An emerging trend in developing regions is to give users access to certain Internet services for free (or zero-rated) over cellular connections from phones. This can help bring the Internet to users who otherwise could ...

This project aims to characterize the role of the NaMo app in shaping political discourse on social media. The Narendra Modi app, or the NaMo app, is the official app ofthe Prime Minister of India. It has an inbuilt social ...