Parser combinators are a well-known mechanism used for the compositional...
Test input generators are an important part of property-based testing (P...
Component-based synthesis seeks to build programs using the APIs provide...
JavaScript is an increasingly popular language for server-side developme...
Methods proposed in the literature for zero-shot learning (ZSL) are typi...
Zero-shot learning is a new paradigm to classify objects from classes th...
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attr...
We present a meta-learning based generative model for zero-shot learning...
Early identification of COVID-19 using a deep model trained on Chest X-R...
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume th...
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR)...
Sketch-based image retrieval (SBIR) is the task of retrieving images fro...
We present a generative framework for zero-shot action recognition where...
Typestates are good at capturing dynamic states of a program as compared...
We present a generative framework for generalized zero-shot learning whe...
We propose a novel approach for First Impressions Recognition in terms o...