Contextual RNN-GANs for Abstract Reasoning Diagram Generation

no code implementations • 29 Sep 2016 • Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal

Understanding, predicting, and generating object motions and transformations is a core problem in artificial intelligence.

Generative Adversarial Network Video Generation

Words are not Equal: Graded Weighting Model for building Composite Document Vectors

no code implementations • WS 2015 • Pranjal Singh, Amitabha Mukerjee

Further, combining such approaches into an ensemble based on alternate classifiers such as the RNN model, results in an 1. 6% performance improvement on the standard IMDB movie review dataset, and a 7. 01% improvement on Amazon product reviews.

Sentiment Analysis Sentiment Classification

Visual Generalized Coordinates

no code implementations • 18 Sep 2015 • M. Seetha Ramaiah, Amitabha Mukerjee, Arindam Chakraborty, Sadbodh Sharma

An open problem in robotics is that of using vision to identify a robot's own body and the world around it.

Syllables as Linguistic Units?

no code implementations • WS 2014 • Amitabha Mukerjee, Prashant Jalan

Language Acquisition

Continuum models of semantics for language discovery

no code implementations • WS 2014 • Deepali Semwal, Sunakshi Gupta, Amitabha Mukerjee

Grounded Language Acquisition: A Minimal Commitment Approach

no code implementations • COLING 2012 • Sushobhan Nayak, Amitabha Mukerjee

Language Acquisition