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Author (up) Marc Masana; Bartlomiej Twardowski; Joost Van de Weijer edit   pdf
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Title On Class Orderings for Incremental Learning Type Conference Article
Year 2020 Publication ICML Workshop on Continual Learning Abbreviated Journal  
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Abstract The influence of class orderings in the evaluation of incremental learning has received very little attention. In this paper, we investigate the impact of class orderings for incrementally learned classifiers. We propose a method to compute various orderings for a dataset. The orderings are derived by simulated annealing optimization from the confusion matrix and reflect different incremental learning scenarios, including maximally and minimally confusing tasks. We evaluate a wide range of state-of-the-art incremental learning methods on the proposed orderings. Results show that orderings can have a significant impact on performance and the ranking of the methods.  
Address Virtual; July 2020  
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Language Summary Language Original Title  
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Area Expedition Conference ICMLW  
Notes LAMP; 600.120;CIC Approved no  
Call Number Admin @ si @ MTW2020 Serial 3505  
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