1 citations · 2 across the 5 of their papers we have counts for
6 papers
Privacy Adhering Machine Un-learning in NLP
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
Regulations introduced by General Data Protection Regulation (GDPR) in the EU or California Consumer Privacy Act (CCPA) in the US have included provisions on the \textit{right to b…
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
Research has shown that personality is a key driver to improve engagement and user experience in conversational systems. Conversational agents should also maintain a consistent per…
Monitoring of people entering and exiting private areas using Computer Vision
Vinay Kumar, P Nagabhushan
Entry-Exit surveillance is a novel research problem that addresses security concerns when people attain absolute privacy in camera forbidden areas such as toilets and changing room…
Appearance invariant Entry-Exit matching using visual soft biometric traits
Vinay Kumar, P Nagabhushan
The problem of appearance invariant subject recognition for Entry-Exit surveillance applications is addressed. A novel Semantic Entry-Exit matching model that makes use of ancillar…
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary +3
This paper presents the submissions by Team Dr.Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain. Our system is based on th…
WriterForcing: Generating more interesting story endings
Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani +1
We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence…