Web: http://arxiv.org/abs/2208.06359

Aug. 16, 2022, 1:11 a.m. | Jerome White, Pulkit Madaan, Nikhil Shenoy, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi

cs.LG updates on arXiv.org arxiv.org

Building reliable AI decision support systems requires a robust set of data
on which to train models; both with respect to quantity and diversity.
Obtaining such datasets can be difficult in resource limited settings, or for
applications in early stages of deployment. Sample rejection is one way to work
around this challenge, however much of the existing work in this area is
ill-suited for such scenarios. This paper substantiates that position and
proposes a simple solution as a proof of …

arxiv case deployment lg ml

More from arxiv.org / cs.LG updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Machine Learning Data Engineer Intern (Jyoti Dharna)

@ Benson Hill | St. Louis, Missouri

Software Engineer / SDE I, Chime SDK Video Research Engineering

@ Amazon.com | East Palo Alto, California, USA

IND (New) Senior ML Ops Engineer - WiQ

@ Quantium | Hyderabad

Data Engineer

@ LendingTree | Remote