all AI news
A Framework for Interactive Knowledge-Aided Machine Teaching. (arXiv:2204.10357v1 [cs.AI])
April 25, 2022, 1:11 a.m. | Karan Taneja, Harshvardhan Sikka, Ashok Goel
cs.LG updates on arXiv.org arxiv.org
Machine Teaching (MT) is an interactive process where humans train a machine
learning model by playing the role of a teacher. The process of designing an MT
system involves decisions that can impact both efficiency of human teachers and
performance of machine learners. Previous research has proposed and evaluated
specific MT systems but there is limited discussion on a general framework for
designing them. We propose a framework for designing MT systems and also detail
a system for the text …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Director, Global Procurement Data Analytics
@ Alcon | Fort Worth - Main
Backend Software Engineer, Airbnb for Real Estate
@ Airbnb | United States
Data Scientist
@ Exoticca | Barcelona, Catalonia, Spain - Remote
ESG Data Analytics Summer Associate (Intern)
@ Apex Clean Energy | Charlottesville, VA, United States
Team Lead, Machine Learning
@ Prenuvo | Vancouver, British Columbia, Canada