347 citations · 615 across the 60 of their papers we have counts for
8 papers · 1 filter
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling
Vishwanath D, Lovekesh Vig, Gautam Shroff +1
In this paper we present Meeting Bot, a reinforcement learning based conversational system that interacts with multiple users to schedule meetings. The system is able to interpret…
Deep Reader: Information extraction from Document images via relation extraction and Natural Language
Vishwanath D, Rohit Rahul, Gunjan Sehgal +6
Recent advancements in the area of Computer Vision with state-of-art Neural Networks has given a boost to Optical Character Recognition (OCR) accuracies. However, extracting charac…
Reading Industrial Inspection Sheets by Inferring Visual Relations
Rohit Rahul, Arindam Chowdhury, Animesh +2
The traditional mode of recording faults in heavy factory equipment has been via hand marked inspection sheets, wherein a machine engineer manually marks the faulty machine regions…
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning
Vishal Sunder, Lovekesh Vig, Arnab Chatterjee +1
We present an effective technique for training deep learning agents capable of negotiating on a set of clauses in a contract agreement using a simple communication protocol. We use…
An Efficient End-to-End Neural Model for Handwritten Text Recognition
Arindam Chowdhury, Lovekesh Vig
Offline handwritten text recognition from images is an important problem for enterprises attempting to digitize large volumes of handmarked scanned documents/reports. Deep recurren…
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig +1
Deep neural networks have shown promising results for various clinical prediction tasks such as diagnosis, mortality prediction, predicting duration of stay in hospital, etc. Howev…