Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels

2020 ◽  
pp. 162-177
Author(s):  
Chanjong Park ◽  
Jae-Il Jung ◽  
Dongha Bahn ◽  
Jonghee Hong ◽  
Junik Jang ◽  
...  
Keyword(s):  
Collaborative Learning ◽  
Robust Classification ◽  
Noisy Labels

scholarly journals Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment

2021 ◽  
pp. 102087
Author(s):  
Sebastian Gündel ◽  
Arnaud A.A. Setio ◽  
Florin C. Ghesu ◽  
Sasa Grbic ◽  
Bogdan Georgescu ◽  
...  
Keyword(s):  
Chest Radiography ◽  
Robust Classification ◽  
Noisy Labels

Collaborative Learning in the Speech-Language Pathology and Audiology Classroom

2008 ◽  
Vol 11 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Carolyn S. Potts ◽  
Sarah M. Ginsberg
Keyword(s):  
Collaborative Learning ◽  
Student Retention ◽  
Student Learning ◽  
Student Learning Outcomes ◽  
Retention Rates ◽  
Speech Language Pathology ◽  
Traditional Lecture ◽  
Language Pathology ◽  
Improve Student Learning

Abstract In recent years, colleges and universities across the country have been called upon to increase the quality of education provided and to improve student retention rates. In response to this challenge, many faculty are exploring alternatives to the traditional “lecture-centered” approach of higher education in an attempt to increase student learning and satisfaction. Collaborative learning is one method of teaching, which has been demonstrated to improve student learning outcomes.

Mental Models and Collaborative Learning With a More Experienced Partner

2005 ◽  
Author(s):  
Vanessa Kowollik ◽  
Eric A. Day ◽  
Jazmine Espejo ◽  
Lauren E. McEntire ◽  
Paul R. Boatman
Keyword(s):  
Collaborative Learning ◽  
Mental Models
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