787 citations · 801 across the 5 of their papers we have counts for
5 papers
Preparing Unprepared Students For Future Learning
Mark Abdelshiheed, Mehak Maniktala, Song Ju +3
Based on strategy-awareness (knowing which problem-solving strategy to use) and time-awareness (knowing when to use it), students are categorized into Rote (neither type of awarene…
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang +2
Multi-task reinforcement learning (MTRL) aims to learn several tasks simultaneously for better sample efficiency than learning them separately. Traditional methods achieve this by…
Deep Reinforcement Agent for Efficient Instant Search
Ravneet Singh Arora, Sreejith Menon, Ayush Jain +1
Instant Search is a paradigm where a search system retrieves answers on the fly while typing. The naïve implementation of an Instant Search system would hit the search back-end for…
A deep learning system for differential diagnosis of skin diseases
Yuan Liu, Ayush Jain, Clara Eng +19
Skin conditions affect an estimated 1.9 billion people worldwide. A shortage of dermatologists causes long wait times and leads patients to seek dermatologic care from general prac…
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace
Ayush Jain, Akash Das Sarma, Aditya Parameswaran +1
We conduct an experimental analysis of a dataset comprising over 27 million microtasks performed by over 70,000 workers issued to a large crowdsourcing marketplace between 2012-201…